Medical Policy
Policy Num: 11.003.053
Policy Name: Whole Exome and Whole Genome Sequencing for Diagnosis of Genetic Disorders
Policy ID: [11.003.053] [Ac / B / M+ / P+] [2.04.102]
Last Review: April 18, 2024
Next Review: April 20, 2025
Related Policies:
11.003.068 Genetic Testing for the Diagnosis of Inherited Peripheral Neuropathies
11.003.082 Genetic Testing for Facioscapulohumeral Muscular Dystrophy
11.003.050 Genetic Testing for Epilepsy
11.003.085 Genetic Testing for Limb-Girdle Muscular Dystrophies
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Whole exome sequencing (WES) sequences the portion of the genome that contains protein-coding DNA, while whole genome sequencing (WGS) sequences both coding and noncoding regions of the genome. Whole exome sequencing and WGS have been proposed for use in patients presenting with disorders and anomalies not explained by a standard clinical workup. Potential candidates for WES and WGS include patients who present with a broad spectrum of suspected genetic conditions.
For individuals who are children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive whole exome sequencing (WES) with trio testing when possible, the evidence includes large case series and within-subject comparisons. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. Patients who have multiple congenital anomalies or a developmental disorder with a suspected genetic etiology, but whose specific genetic alteration is unclear or unidentified by a standard clinical workup, may be left without a clinical diagnosis of their disorder, despite a lengthy diagnostic workup. For a substantial proportion of these patients, WES may return a likely pathogenic variant. Several large and smaller series have reported diagnostic yields of WES ranging from 25% to 60%, depending on the individual’s age, phenotype, and previous workup. One comparative study found a 44% increase in yield compared with standard testing strategies. Many of the studies have also reported changes in patient management, including medication changes, discontinuation of or additional testing, ending the diagnostic odyssey, and family planning. The evidence is sufficient to determine that the technology results in an improvement in the net health outcome.
For individuals who are children with a suspected genetic disorder other than multiple congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive WES with trio testing when possible, the evidence includes small case series and prospective research studies. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. There is an increasing number of reports evaluating the use of WES to identify a molecular basis for disorders other than multiple congenital anomalies or neurodevelopmental disorders. The diagnostic yields in these studies range from as low as 3% to 60%. Some studies have reported on the use of a virtual gene panel with restricted analysis of disease-associated genes, and WES data allow reanalysis as new genes are linked to the patient phenotype. Overall, a limited number of patients have been studied for any specific disorder, and clinical use of WES for these disorders is at an early stage with uncertainty about changes in patient management. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For individuals who have previously received WES who receive repeat WES, including re-analysis of previous test results, the evidence includes nonrandomized studies and a systematic review. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. There is no direct evidence of clinical utility. In a meta-analysis of nonrandomized studies, re-analysis of WES data resulted in an 11% increase in diagnostic yield (95% confidence interval (CI), 8% to 14%) in individuals who were previously undiagnosed via WES. Three nonrandomized studies published after the meta-analysis had findings consistent with the meta-analysis. Conclusions were limited by heterogeneity across individual studies and a lack of detailed reporting on reasons for new diagnoses, changes in management based on new diagnoses, and the frequency of the identification of variants of uncertain significance (VUS). Therefore, a chain of evidence for clinical utility cannot be established. Additionally, the optimal timing of re-analysis has not been established, and there are no clear guidelines on what factors should prompt the decision to repeat testing. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For individuals who are children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup or WES who receive whole genome sequencing (WGS) with trio testing when possible, the evidence includes nonrandomized studies and a systematic review. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. In studies of children with congenital anomalies and developmental delays of unknown etiology following standard clinical workup, the yield of WGS has ranged between 20% and 40%. A majority of studies described methods for interpretation of WGS indicating that only pathogenic or likely pathogenic variants were included in the diagnostic yield and that VUS were frequently not reported. In a systematic review, the pooled (9 studies, N=648) diagnostic yield of WGS was 40% (95% CI, 32% to 49%). Although the diagnostic yield of WGS is at least as high as WES in individuals without a diagnosis following standard clinical workup, it is unclear if the additional yield results in actionable clinical management changes that improve health outcomes. Further, while reporting practices of VUS found on exome and genome sequencing vary across laboratories, WGS results in the identification of more VUS than WES. The clinical implications of this difference are uncertain as more VUS findings can be seen as potential for future VUS reclassification allowing a diagnosis. However, most VUS do not relate to the patient phenotype, the occurrence of medical mismanagement and patient stress based on misinterpretation of VUS is not well defined, and provider reluctance to interpret VUS information lessen the value of additional VUS identification by WGS. As such, higher yield and higher VUS from WGS currently have limited clinical utility. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For individuals who are children with a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive WGS with trio testing when possible, the evidence includes case series. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. Whole genome sequencing has also been studied in other genetic conditions with yield ranging from 9% to 55%. Overall, a limited number of patients have been studied for any specific disorder, and clinical use of WGS as well as information regarding meaningful changes in management for these disorders is at an early stage. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For individuals who are critically ill infants with a suspected genetic disorder of unknown etiology following a standard workup who receive rapid WGS (rWGS) or rapid WES (rWES) with trio testing when possible, the evidence includes randomized controlled trials (RCTs) and case series. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. One RCT comparing rWGS with standard genetic tests to diagnose suspected genetic disorders in critically ill infants was terminated early due to loss of equipoise. The rate of genetic diagnosis within 28 days of enrollment was higher for rWGS versus standard tests (31% vs. 3%; p=.003). Changes in management due to test results were reported in 41% (p=.11) of rWGS versus 21% of control patients; however, 73% of control subjects received broad genetic tests (eg, next-generation sequencing panel testing, WES, or WGS) as part of standard testing. A second RCT compared rWGS to rWES in seriously ill infants with diseases of unknown etiology from the neonatal intensive care unit, pediatric intensive care unit, and cardiovascular intensive care unit. The diagnostic yield of rWGS and rWES was similar (19% vs. 20%, respectively), as was time to result (median, 11 vs. 11 days). The NICUSeq RCT compared rWGS (test results returned in 15 days) to a delayed reporting group (WGS with test results returned in 60 days) in 354 infants admitted to an intensive care unit with a suspected genetic disease. Diagnostic yield was higher in the rWGS group (31.0%; 95% CI, 25.5% to 38.7% vs. 15.0%; 95% CI, 10.2% to 21.3%). Additionally, significantly more infants in the rWGS group had a change in management compared with the delayed arm (21.1% vs. 10.3%; p=.009; odds ratio, 2.3; 95% CI, 1.22 to 4.32). Several retrospective and prospective studies including more than 800 critically ill infants and children in total have reported on diagnostic yield for rWGS or rWES. These studies included phenotypically diverse but critically ill infants and had yields of between 30% and 60% for pathogenic or likely pathogenic variants. Studies have also reported associated changes in patient management for patients receiving a diagnosis from rWGS or rWES, including avoidance of invasive procedures, medication changes to reduce morbidity, discontinuation of or additional testing, and initiation of palliative care or reproductive planning. A chain of evidence linking meaningful improvements in diagnostic yield and changes in management expected to improve health outcomes supports the clinical value of rWGS or rWES. The evidence is sufficient to determine that the technology results in an improvement in the net health outcome.
Not applicable.
The objective of this evidence review is to determine whether whole exome or whole genome sequencing improves the net health outcome in individuals with suspected genetic disorders.
Standard whole exome sequencing, with trio testing when possible (see Policy Guidelines), may be considered medically necessary for the evaluation of unexplained congenital or neurodevelopmental disorders in children when ALL of the following criteria are met:
Documentation that the individual has been evaluated by a clinician with expertise in clinical genetics, including at minimum a family history and phenotype description, and counseled about the potential risks of genetic testing.
There is potential for a change in management and clinical outcome for the individual being tested.
A genetic etiology is considered the most likely explanation for the phenotype despite previous genetic testing (eg, chromosomal microarray analysis and/or targeted single-gene testing), OR when previous genetic testing has failed to yield a diagnosis, and the affected individual is faced with invasive procedures or testing as the next diagnostic step (eg, muscle biopsy).
Rapid whole exome sequencing or rapid whole genome sequencing, with trio testing when possible (see Policy Guidelines), may be considered medically necessary for the evaluation of critically ill infants in neonatal or pediatric intensive care with a suspected genetic disorder of unknown etiology when BOTH of the following criteria are met:
At least one of the following criteria is met:
Multiple congenital anomalies (see Policy Guidelines);
An abnormal laboratory test or clinical features suggests a genetic disease or complex metabolic phenotype (see Policy Guidelines);
An abnormal response to standard therapy for a major underlying condition.
None of the following criteria apply regarding the reason for admission to intensive care:
An infection with normal response to therapy;
Isolated prematurity;
Isolated unconjugated hyperbilirubinemia;
Hypoxic Ischemic Encephalopathy;
Confirmed genetic diagnosis explains illness;
Isolated Transient Neonatal Tachypnea; or
Nonviable neonates.
Whole exome sequencing is considered investigational for the diagnosis of genetic disorders in all other situations.
Repeat whole exome sequencing for the diagnosis of genetic disorders, including re-analysis of previous test results, is considered investigational.
Whole genome sequencing is considered investigational for the diagnosis of genetic disorders in all other situations.
Whole exome sequencing and whole genome sequencing are considered investigational for screening for genetic disorders.
The policy statements are intended to address the use of whole exome sequencing (WES) and whole genome sequencing (WGS) for the diagnosis of genetic disorders in individuals with suspected genetic disorders and for population-based screening.
This policy does not address the use of whole exome and whole genome sequencing for preimplantation genetic diagnosis or screening, prenatal (fetal) testing, or testing of cancer cells.
In the NSIGHT1 trial (Petrikin, 2018) rapid WGS (rWGS) provided time to provisional diagnosis by 10 days with time to final report of approximately 17 days although the trial required confirmatory testing of WGS results which lengthened the time to rWGS diagnosis by 7 to 10 days. The WGS was performed in ‘rapid run’ mode with a minimum depth of 90 Gb per genome and average depth of coverage of 40-fold.
For rapid WES or WGS, the individual should be critically ill and in the neonatal or pediatric intensive care units (NICU, PICU) when the test is ordered but may be discharged before results are delivered.
Copy number variation (CNV) analysis should be performed in parallel with rWGS using chromosomal microarray analysis (CMA) or directly within rWGS if the test is validated for CNV analysis.
Examples of specific malformations highly suggestive of a genetic etiology, include but are not limited to any of the following:
Choanal atresia
Coloboma
Hirschsprung disease
Meconium ileus
Examples of an abnormal laboratory test suggesting a genetic disease or complex metabolic phenotype, include but are not limited to any of the following:
Abnormal newborn screen
Conjugated hyperbilirubinemia not due to total parental nutrition (TPN) cholestasis
Hyperammonemia
Lactic acidosis not due to poor perfusion
Refractory or severe hypoglycemia
Examples of clinical features suggesting a genetic disease include but are not limited to any of the following:
Significant hypotonia.
Persistent seizures.
Infant with high risk stratification on evaluation for a Brief Resolved Unexplained Event (BRUE) (see below) with any of the following features:
Recurrent events without respiratory infection
Recurrent witnessed seizure like events
Required cardiopulmonary resuscitation (CPR)
Significantly abnormal chemistry including but not limited to electrolytes, bicarbonate or lactic acid, venous blood gas, glucose, or other tests that suggest an inborn error of metabolism
Significantly abnormal electrocardiogram (ECG), including but not limited to possible channelopathies, arrhythmias, cardiomyopathies, myocarditis, or structural heart disease
Family history of:
Arrhythmia
BRUE in sibling
Developmental delay
Inborn error of metabolism or genetic disease
Long QT syndrome (LQTS)
Sudden unexplained death (including unexplained car accident or drowning) in first- or second-degree family members before age 35, and particularly as an infant
Brief Resolved Unexplained Event was previously known as Apparent Life Threatening Event (ALTE). In a practice guideline from the American Academy of Pediatrics (AAP), BRUE is defined as an event occurring in an infant younger than 1 year of age when the observer reports a sudden, brief (usually less than one minute), and now resolved episode of one or more of the following:
Absent, decreased, or irregular breathing
Altered level of responsiveness
Cyanosis or pallor
Marked change in tone (hyper- or hypotonia)
A BRUE is diagnosed only when there is no explanation for a qualifying event after conducting an appropriate history and physical examination.
Note: More information is available at: https://pediatrics.aappublications.org/content/137/5/e20160590
The recommended option for testing when possible is testing of the child and both parents (trio testing). Trio testing increases the chance of finding a definitive diagnosis and reduces false-positive findings.
Trio testing is preferred whenever possible but should not delay testing of a critically ill individual when rapid testing is indicated. Testing of one available parent should be done if both are not immediately available and one or both parents can be done later if needed.
The Human Genome Variation Society nomenclature is used to report information on variants found in DNA and serves as an international standard in DNA diagnostics. It is being implemented for genetic testing medical evidence review updates starting in 2017 (see Table PG1). The Society's nomenclature is recommended by the Human Variome Project, the Human Genome Organisation, and by the Human Genome Variation Society itself.
The American College of Medical Genetics and Genomics and the Association for Molecular Pathology standards and guidelines for interpretation of sequence variants represent expert opinion from both organizations, in addition to the College of American Pathologists. These recommendations primarily apply to genetic tests used in clinical laboratories, including genotyping, single genes, panels, exomes, and genomes. Table PG2 shows the recommended standard terminology-"pathogenic," "likely pathogenic," "uncertain significance," "likely benign," and "benign"-to describe variants identified that cause Mendelian disorders.
Previous | Updated | Definition |
Mutation | Disease-associated variant | Disease-associated change in the DNA sequence |
Variant | Change in the DNA sequence | |
Familial variant | Disease-associated variant identified in a proband for use in subsequent targeted genetic testing in first-degree relatives |
Variant Classification | Definition |
Pathogenic | Disease-causing change in the DNA sequence |
Likely pathogenic | Likely disease-causing change in the DNA sequence |
Variant of uncertain significance | Change in DNA sequence with uncertain effects on disease |
Likely benign | Likely benign change in the DNA sequence |
Benign | Benign change in the DNA sequence |
ACMG: American College of Medical Genetics and Genomics; AMP: Association for Molecular Pathology.
Genetic counseling is primarily aimed at individuals who are at risk for inherited disorders, and experts recommend formal genetic counseling in most cases when genetic testing for an inherited condition is considered. The interpretation of the results of genetic tests and the understanding of risk factors can be very difficult and complex. Therefore, genetic counseling will assist individuals in understanding the possible benefits and harms of genetic testing, including the possible impact of the information on the individual's family. Genetic counseling may alter the utilization of genetic testing substantially and may reduce inappropriate testing. Genetic counseling should be performed by an individual with experience and expertise in genetic medicine and genetic testing methods.
See the Codes table for details.
Some Plans may have contract or benefit exclusions for genetic testing.
Benefits are determined by the group contract, member benefit booklet, and/or individual subscriber certificate in effect at the time services were rendered. Benefit products or negotiated coverages may have all or some of the services discussed in this medical policy excluded from their coverage.
Whole exome sequencing (WES) is targeted next-generation sequencing (NGS) of the subset of the human genome that contains functionally important sequences of protein-coding DNA, while whole genome sequencing (WGS) uses NGS techniques to sequence both coding and noncoding regions of the genome. Whole exome sequencing and WGS have been proposed for use in patients presenting with disorders and anomalies not explained by a standard clinical workup. Potential candidates for WES and WGS include patients who present with a broad spectrum of suspected genetic conditions.
Given the variety of disorders and management approaches, there are a variety of potential health outcomes from a definitive diagnosis. In general, the outcomes of a molecular genetic diagnosis include (1) impacting the search for a diagnosis, (2) informing follow-up that can benefit a child by reducing morbidity, and (3) affecting reproductive planning for parents and potentially the affected patient.
The standard diagnostic workup for patients with suspected Mendelian disorders may include combinations of radiographic, electrophysiologic, biochemical, biopsy, and targeted genetic evaluations.1, The search for a diagnosis may thus become a time-consuming and expensive process.
Whole exome sequencing or WGS using NGS technology can facilitate obtaining a genetic diagnosis in patients efficiently. Whole exome sequencing is limited to most of the protein-coding sequence of an individual (»85%), is composed of about 20,000 genes and 180,000 exons (protein-coding segments of a gene), and constitutes approximately 1% of the genome. It is believed that the exome contains about 85% of heritable disease-causing variants. Whole exome sequencing has the advantage of speed and efficiency relative to Sanger sequencing of multiple genes. Whole exome sequencing shares some limitations with Sanger sequencing. For example, it will not identify the following: intronic sequences or gene regulatory regions; chromosomal changes; large deletions; duplications; or rearrangements within genes, nucleotide repeats, or epigenetic changes. Whole genome sequencing uses techniques similar to WES but includes noncoding regions. Whole genome sequencing has a greater ability to detect large deletions or duplications in protein-coding regions compared with WES but requires greater data analytics.
Technical aspects of WES and WGS are evolving, including the development of databases such as the National Institutes of Health’s ClinVar database (http://www.ncbi.nlm.nih.gov/clinvar/) to catalog variants, uneven sequencing coverage, gaps in exon capture before sequencing, and difficulties with narrowing the large initial number of variants to manageable numbers without losing likely candidate disease-associated variants. The variability contributed by the different platforms and procedures used by different clinical laboratories offering exome sequencing as a clinical service is unknown.
In 2013, the American College of Medical Genetics and Genomics, Association for Molecular Pathology, and College of American Pathologists convened a workgroup to standardize terminology for describing sequence variants. In 2015, guidelines developed by this workgroup describe criteria for classifying pathogenic and benign sequence variants based on 5 categories of data: pathogenic, likely pathogenic, uncertain significance, likely benign, and benign.2,
Clinical laboratories may develop and validate tests in-house and market them as a laboratory service; laboratory-developed tests must meet the general regulatory standards of the Clinical Laboratory Improvement Amendments (CLIA). Whole exome sequencing or WGS tests as a clinical service are available under the auspices of the CLIA. Laboratories that offer laboratory-developed tests must be licensed by the CLIA for high-complexity testing. To date, the U.S. Food and Drug Administration (FDA) has chosen not to require any regulatory review of this test.
This evidence review was created in September 2013 with searches of the PubMed database. The most recent literature update was performed through February 20, 2024.
Evidence reviews assess whether a medical test is clinically useful. A useful test provides information to make a clinical management decision that improves the net health outcome. That is, the balance of benefits and harms is better when the test is used to manage the condition than when another test or no test is used to manage the condition.
The first step in assessing a medical test is to formulate the clinical context and purpose of the test. The test must be technically reliable, clinically valid, and clinically useful for that purpose. Evidence reviews assess the evidence on whether a test is clinically valid and clinically useful. Technical reliability is outside the scope of these reviews, and credible information on technical reliability is available from other sources.
This review was informed in part by a TEC Special Report (2013) on exome sequencing for patients with suspected genetic disorders.3,
In 2018, Smith et al reported a scoping review of genome and exome sequencing as a diagnostic tool for pediatric patients. 4, The authors identified 171 publications, although 131 were case reports. They concluded that diagnostic yield was the only consistently reported outcome. The median diagnostic yield in publications including more than single case reports was 33% but varied by broad clinical categories and test type.
The following sections review evidence by test type (whole exome sequencing [WES] and whole genome sequencing [WGS]) , broad type of disorder, and care setting (intensive care vs. not intensive care).
Promotion of greater diversity and inclusion in clinical research of historically marginalized groups (e.g., People of Color [African-American, Asian, Black, Latino and Native American]; LGBTQIA (Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, Asexual); Women; and People with Disabilities [Physical and Invisible]) allows policy populations to be more reflective of and findings more applicable to our diverse members. While we also strive to use inclusive language related to these groups in our policies, use of gender-specific nouns (e.g., women, men, sisters, etc.) will continue when reflective of language used in publications describing study populations.
The purpose of WES in children who have multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following standard workup is to establish a molecular diagnosis. The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are as follows:
A definitive diagnosis cannot be made based on history, physical examination, pedigree analysis, and/or standard diagnostic studies or tests;
The clinical utility of a diagnosis has been established (eg, by demonstrating that a definitive diagnosis will lead to changes in clinical management of the condition, changes in surveillance, or changes in reproductive decision making, and these changes will lead to improved health outcomes); and
Establishing the diagnosis by genetic testing will end the clinical workup for other disorders.
The following PICO was used to select literature to inform this review.
The relevant population of interest is children presenting with multiple unexplained congenital anomalies or a neurodevelopmental disorder that are suspected to have a genetic basis, but are not explained by a standard clinical workup.
The relevant intervention of interest is WES with trio testing when possible.
The following practice is currently being used to diagnose multiple unexplained congenital anomalies or a neurodevelopmental disorder: standard clinical workup without WES.
A standard clinical workup for an individual with a suspected genetic condition varies by patient phenotype but generally involves a thorough history, physical exam (including dysmorphology and neurodevelopmental assessment, if applicable), routine laboratory testing, and imaging. If the results suggest a specific genetic syndrome, then established diagnostic methods relevant for that syndrome would be used.
There is no reference standard for the diagnosis of patients who have exhausted alternative testing strategies; therefore, diagnostic yield will be the clinical validity outcome of interest.
The health outcomes of interest are reduction in morbidity due to appropriate treatment and surveillance, the end of the diagnostic odyssey, and effects on reproductive planning for parents and potentially the affected patient.
False-positive test results can lead to misdiagnosis and inappropriate clinical management. False-negative test results can lead to a lack of a genetic diagnosis and continuation of the diagnostic odyssey.
For the evaluation of clinical validity of WES, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield or performance characteristics such as sensitivity and specificity of WES;
Patient/sample clinical characteristics were described; children with congenital anomalies or neurodevelopmental disorders were included;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
A number of studies have reported on the use of WES in clinical practice (Table 1). Typically, the populations included in these studies have had suspected rare genetic disorders, although the specific populations vary.
Series have been reported with as many as 2000 patients. The most common reason for referral to a tertiary care center was an unexplained neurodevelopmental disorder. Many patients had been through a standard clinical workup and testing without identification of a genetic variant to explain their condition. Diagnostic yield in these studies, defined as the proportion of tested patients with clinically relevant genomic anomalies, ranged from 25% to 48%. Because there is no reference standard for the diagnosis of patients who have exhausted alternative testing strategies, clinical confirmation may be the only method for determining false-positive and false-negative rates. No reports were identified of incorrect diagnoses, and how often they might occur is unclear.
When used as a first-line test in infants with multiple congenital anomalies and dysmorphic features, diagnostic yield may be as high as 58%. Testing parent-child trios has been reported to increase diagnostic yield, to identify an inherited variant from an unaffected parent and be considered benign, or to identify a de novo variant not present in an unaffected parent. First-line trio testing for children with complex neurologic disorders was shown to increase the diagnostic yield (29%, plus a possible diagnostic finding in 27%) compared with a standard clinical pathway (7%) performed in parallel in the same patients.5,
Study | Patient Population | N | Design | Yield, n (%) | Additional Information |
Cordoba et al (2018)6, | Patients suspected of having a neurogenetic condition: typical findings of known neurogenetic diseases and/or hints of monogenic etiology such as familial aggregation or chronic and progressive course Mean age was 23 yrs | 40 | Prospective consecutive patients selected from a Neurogenetic Clinic of a tertiary hospital in Argentina (Unclear how many were trio testing) | 16 (40) | Results led to altered treatment in 14 patients |
Powis et al (2018) 7, | Neonates (birth to 1 mo of age). The majority had multiple congenital anomalies or dysmorphic features. | 66 | Trio or singleton WES 6 infants received rapid WES | Overall: 25 (38) Rapid WES: 3 (50) | VUS noted in 6 patients |
Tsuchida et al (2018)8, | Children with epilepsy ( 63% with early-onset epileptic encephalopathies) with no causative SNV in known epilepsy-associated genes | 168 | Consecutive unsolved cases referred to a single-center | 18 (11) | Performed WES with CNV detection tools |
Evers et al (2017)9, | Children with undiagnosed NDDs (63%), neurometabolic disorders, and dystonias | 72 | Prospective study, referral and selection unclear | 36% in NDD 43% in neurometabolic disorders 25% in dystonias | Results reported to be important for family planning, used for a prenatal diagnostic procedure in 4 cases, management changes reported in 8 cases; surveillance for other disease-associated complications initiated in 6 cases |
Vissers et al (2017)5, | Children with complex neurologic disorders of suspected genetic origin | 150 | Prospective comparative study at a tertiary center | 44 (29) conclusive 41 (27) possible | First-line WES had 29% yield vs. 7% yield for a standard diagnostic workupb |
Nolan and Carlson (2016)10, | Children with unexplained NDDs | 50 | Pediatric neurology clinic | 41 (48) | Changed medication, systemic investigation, and family planning |
Allen et al (2016)11, | Patients with unexplained early-onset epileptic encephalopathy | 50 (95% <1 y) | Single-center | 11 (22) | 2 VUS for follow-up, 11 variants identified as de novo |
Stark et al (2016)12, | Infants (≤2 y) with suspected monogenic disorders with multiple congenital abnormalities and dysmorphic features | 80 overall; 37 critically ill | Prospective comparative study at a tertiary center | 46 (58) overall; 19 (51) in critically ill infants | First-line WES increased yield by 44%, changed clinical management and family planning. |
Tarailo-Graovac et al (2016)13, | Intellectual developmental disorders and unexplained metabolic phenotypes (all ages) | 41 | Consecutively enrolled patients referred to a single-center | 28 (68) | WES diagnosis affected the clinical treatment of 18 (44%) probands |
Farwell et al (2015)14, | Unexplained neurologic disorders (65% pediatric) | 500 | WES laboratory | 152 (30) | Trio (37.5% yield) vs. proband only (20.6% yield); 31 (7.5% de novo) |
Yang et al (2014)15, | Suspected genetic disorder (88% neurologic or developmental) | 2000 (45% <5 y; 42% 5 to 18 yrs; 12% adults) | Consecutive patients at single-center | 504 (25) | Identification of novel variants. End of the diagnostic odyssey and change in management |
Lee et al (2014)16, | Suspected rare Mendelian disorders (57% of children had developmental delay; 26% of adults had ataxia) | 814 (49% <5 y; 15% 5 to 18 y; 36% adults) | Consecutive patients at single-center | 213 (26) | Trio (31% yield) vs. proband only (22% yield) |
Iglesias et al (2014)17, | Birth defects (24%); developmental delay (25%); seizures (32%) | 115 (79% children) | Single-center tertiary clinic | 37 (32) | Discontinuation of planned testing, changed medical management, and family planning |
Soden et al (2014)18, | Children with unexplained NDDs | 119 (100 families) | Single-center databasea | 53 (45) | Change in clinical care or impression in 49% of families |
Srivastava et al (2014)19, | Children with unexplained NDDs | 78 | Pediatric neurogenetics clinic | 32 (41) | Change in medical management, prognostication, and family planning |
Yang et al (2013)20, | Suspected genetic disorder (80% neurologic) | 250 (1% fetus; 50% <5 y; 38% 5 to 18 yrs; 11% adults) | Consecutive patients at single-center | 62 (25) | Identification of atypical phenotypes of known genetic diseases and blended phenotypes |
CNV: copy number variant; DDD: Deciphering Developmental Disorders; NDD: neurodevelopmental disorder; SNV: single nucleotide variants; VUS: variant of uncertain significance; WES: whole exome sequencing.a Included both WES and whole genome sequencing.b Standard diagnostic workup included an average of 23.3 physician-patient contacts, imaging studies, muscle biopsies or lumbar punctures, other laboratory tests, and an average of 5.4 sequential gene by gene tests.
A test is clinically useful if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, more effective therapy, or avoid unnecessary therapy or testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from randomized controlled trials (RCTs).
No RCTs assessing the use of WES to diagnose multiple unexplained congenital anomalies or a neurodevelopmental disorder were identified.
Indirect evidence on clinical utility rests on clinical validity. If the evidence is insufficient to demonstrate test performance, no inferences can be made about clinical utility.
Cohort studies following children from presentation to outcomes have not been reported. There are considerable challenges conducting studies of sufficient size given underlying genetic heterogeneity, and including follow-up adequate to observe final health outcomes. Studies addressing clinical utility have reported mainly diagnostic yield and management changes. Thus, it is difficult to quantify lower or upper bounds for any potential improvement in the net health outcome owing in part to the heterogeneity of disorders, rarity, and outcome importance that may differ according to identified pathogenic variants. Actionable items following testing in the reviewed studies (Table 1) included family planning, change in management, change or avoidance of additional testing, surveillance for associated morbidities, prognosis, and ending the diagnostic odyssey.
The evidence reviewed here reflects the accompanying uncertainty, but supports a perspective that identifying a pathogenic variant can (1) impact the search for a diagnosis, (2) inform follow-up that can benefit a child by reducing morbidity and rarely potential mortality, and (3) affect reproductive planning for parents and later, potentially the affected child. When recurrence risk can be estimated for an identified variant (eg, by including parent testing), future reproductive decisions can be affected. Early use of WES can reduce the time to diagnosis and reduce the financial and psychological burdens associated with prolonged investigation.
The evidence on WES in children who have multiple congenital anomalies or a developmental disorder with a suspected genetic etiology of unknown etiology following a standard workup includes case series. These series have reported diagnostic yields of WES ranging from 22% to 58%, depending on the individual’s age, phenotype, and previous workup. Comparative studies have reported an increase in diagnostic yield compared with standard testing strategies. Thus, for individuals who have a suspected genetic etiology but for whom the specific genetic alteration is unclear or unidentified by a standard clinical workup, WES may return a likely pathogenic variant. A genetic diagnosis for these patients is reported to change management, including medication changes, discontinuation of or additional testing, ending the diagnostic odyssey, and family planning.
For individuals who are children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive whole exome sequencing (WES) with trio testing when possible, the evidence includes large case series and within-subject comparisons. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. Patients who have multiple congenital anomalies or a developmental disorder with a suspected genetic etiology, but whose specific genetic alteration is unclear or unidentified by a standard clinical workup, may be left without a clinical diagnosis of their disorder, despite a lengthy diagnostic workup. For a substantial proportion of these patients, WES may return a likely pathogenic variant. Several large and smaller series have reported diagnostic yields of WES ranging from 25% to 60%, depending on the individual’s age, phenotype, and previous workup. One comparative study found a 44% increase in yield compared with standard testing strategies. Many of the studies have also reported changes in patient management, including medication changes, discontinuation of or additional testing, ending the diagnostic odyssey, and family planning. The evidence is sufficient to determine that the technology results in an improvement in the net health outcome.
[X] MedicallyNecessary | [ ] Investigational |
Most of the literature on WES is on neurodevelopmental disorders in children; however, other potential indications for WES have been reported (Table 2). These include limb-girdle muscular dystrophy, inherited retinal disease, and other disorders including mitochondrial, endocrine, and immunologic disorders.
The purpose of WES in patients who have a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup is to establish a molecular diagnosis. The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are stated above.
The following PICO was used to select literature to inform this review.
The relevant population of interest is children presenting with a disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder that is suspected to have a genetic basis but is not explained by a standard clinical workup.
The relevant intervention of interest is WES.
The following practice is currently being used to diagnose a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder: a standard clinical workup without WES. A standard clinical workup for an individual with a suspected genetic condition varies by patient phenotype but generally involves a thorough history, physical exam (including dysmorphology and neurodevelopmental assessment, if applicable), routine laboratory testing, and imaging. If the results suggest a specific genetic syndrome, then established diagnostic methods relevant for that syndrome would be used.
There is no reference standard for the diagnosis of patients who have exhausted alternative testing strategies, therefore diagnostic yield will be the clinical validity outcome of interest.
The health outcomes of interest are reduction in morbidity due to appropriate treatment and surveillance, the end of the diagnostic odyssey, and effects on reproductive planning for parents and potentially the affected patient.
For the evaluation of clinical validity of WES, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield or performance characteristics such as sensitivity and specificity of WES;
Patient/sample clinical characteristics were described;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
Studies have assessed WES for a broad spectrum of disorders. The diagnostic yield in patient populations restricted to specific phenotypes ranges from 3% for colorectal cancer to 60% for unexplained limb-girdle muscular dystrophy (Table 2). Some studies used a virtual gene panel that is restricted to genes associated with the phenotype, while others have examined the whole exome, either initially or sequentially. An advantage of WES over individual gene or gene panel testing is that the stored data allows reanalysis as new genes are linked to the patient phenotype. Whole exome sequencing has also been reported to be beneficial in patients with atypical presentations.
Study | Patient Population | N | Design | Yield, n (%) | Additional Information |
Kwong et al (2021)21, | Patients with pediatric‑onset movement disorders and unrevealing etiologies | 31 | Cohort of patients who received WES | 10 (32) | 8 of 10 patients with a genetic diagnosis had alterations in management decisions |
Gileles-Hillel et al (2020)22, | Patients with symptoms highly suggestive of primary ciliary dyskinesia | 48 | Prospective WES in patients referred to a single-center | 36 (75) | WES established an alternative diagnosis in 4 patients |
Kim et al (2020)23, | Patients with infantile-onset epilepsy who tested negative for epilepsy using a gene panel test | 59 | Cohort of patients who received WES | +9 (+8%) | WES provided an additional 8% diagnostic yield in addition to the original gene panel |
Hauer et al (2018)24, | Short stature in whom common nongenetic causes had been excluded | 200 (mostly children) | Randomly selected from a consecutive series of patients referred for workup; trio testing performed | 33 (17) |
|
Rossi et al (2017)25, | Patients with autism spectrum disorder diagnosis or autistic features referred for WES | 163 | Selected from 1200 consecutive retrospective samples from a commercial lab | 42 (26) |
|
Walsh et al (2017)26, | Peripheral neuropathy in patients ranging from 2 to 68 y |
| Prospective research study at tertiary pediatric and adult centers | 19 (38) | Initial targeted analysis with virtual gene panel, followed by WES |
Miller et al (2017)27, | Craniosynostosis in patients who tested negative on targeted genetic testing | 40 | Research study of referred patientsa | 15 (38) | Altered management and reproductive decision making |
Posey et al (2016)28, | Adults (overlap of 272 patients reported by Yang et al [2014]),15, includes neurodevelopmental and other phenotypes | 486 (53% 18 to 30 y; 47% >30 y) | Review of lab findings in a consecutive retrospective series of adults | 85 (18) | Yield in patients 18 to 30 y (24%) vs. those >30 y (10.4%) |
Ghaoui et al (2015)29, | Unexplained limb-girdle muscular dystrophy | 60 families | Prospective study of patients identified from a specimen bank | 27 (60) | Trio (60% yield) vs. proband only (40% yield) |
Valencia et al (2015)30, | Unexplained disorders: congenital anomalies (30%), neurologic (22%), mitochondrial (25%), endocrine (3%), immunodeficiencies (17%) | 40 (<17 y) | Consecutive patients in a single-center | 12 (30) |
|
Wortmann et al (2015)31, | Suspected mitochondrial disorder | 109 | Patients referred to a single-center | 42 (39) | 57% yield in patients with a high suspicion of mitochondrial disorder |
Neveling et al (2013)32, | Unexplained disorders: blindness, deafness, movement disorders, mitochondrial disorders, hereditary cancer | 186 | Outpatient genetic clinic; post hoc comparison with Sanger sequencing | 3% to 52% | WES increased yield vs. Sanger sequencing Highest yield for blindness and deafness |
VUS: variant of uncertain significance; WES: whole exome sequencing. a Included both WES and whole genome sequencing.
Tables 3 and 4 display notable limitations identified in each study.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Duration of Follow-Upe |
Kwong et al (2021)21, | |||||
Gileles-Hillel et al (2020)22, | 4. Most patients had high pre-test probability of disease | ||||
Kim et al (2020)23, | |||||
Hauer et al (2018)24, | |||||
Rossi et al (2017)25, | 4. Most patients had a clinical diagnosis; only 33% had testing for specific ASD genes before WES | ||||
Walsh et al (2017)26, | 3. Proband testing only | ||||
Miller et al (2017)27, | |||||
Posey et al (2016)28, | 3. Included highly heterogeneous diseases | 3. Proband testing only | |||
Ghaoui et al (2015)29, | |||||
Valencia et al (2015)30, | 3. Included highly heterogeneous diseases | 2. Unclear whether WES performed on parents | |||
Wortmann et al (2015)31, | 3. Proband testing only | ||||
Neveling et al (2013)32, | 3. Included highly heterogeneous diseases | 3. Proband testing only |
ASD: autism spectrum disorder; WES: whole exome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Classification thresholds not defined; 2. Version used unclear; 3. Not intervention of interest.c Comparator key: 1. Classification thresholds not defined; 2. Not compared to credible reference standard; 3. Not compared to other tests in use for same purpose.d Outcomes key: 1. Study does not directly assess a key health outcome; 2. Evidence chain or decision model not explicated; 3. Key clinical validity outcomes not reported (sensitivity, specificity, and predictive values); 4. Reclassification of diagnostic or risk categories not reported; 5. Adverse events of the test not described (excluding minor discomforts and inconvenience of venipuncture or noninvasive tests).e Follow-Up key: 1. Follow-up duration not sufficient with respect to natural history of disease (true-positives, true-negatives, false-positives, false-negatives cannot be determined).
Study | Selectiona | Blindingb | Delivery of Testc | Selective Reportingd | Data Completenesse | Statisticalf |
Kwong et al (2021)21, | ||||||
Gileles-Hillel et al (2020)22, | ||||||
Kim et al (2020)23, | ||||||
Hauer et al (2018)24, | ||||||
Rossi et al (2017)25, | ||||||
Walsh et al (2017)26, | ||||||
Miller et al (2017)27, | 2. Selection not random or consecutive | |||||
Posey et al (2016)28, | ||||||
Ghaoui et al (2015)29, | ||||||
Valencia et al (2015)30, | ||||||
Wortmann et al (2015)31, | 1,2. Unclear how patients were selected from those eligible | |||||
Neveling et al (2013)32, | 1,2. Unclear how patients were selected from those referred |
The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Selection key: 1. Selection not described; 2. Selection not random or consecutive (ie, convenience).b Blinding key: 1. Not blinded to results of reference or other comparator tests.c Test Delivery key: 1. Timing of delivery of index or reference test not described; 2. Timing of index and comparator tests not same; 3. Procedure for interpreting tests not described; 4. Expertise of evaluators not described.d Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.e Data Completeness key: 1. Inadequate description of indeterminate and missing samples; 2. High number of samples excluded; 3. High loss to follow-up or missing data.f Statistical key: 1. Confidence intervals and/or p values not reported; 2. Comparison with other tests not reported.
A test is clinically useful if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, more effective therapy, or avoid unnecessary therapy or testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from RCTs.
No RCTs assessing the use of WES to diagnose a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder were identified.
Indirect evidence on clinical utility rests on clinical validity. If the evidence is insufficient to demonstrate test performance, no inferences can be made about clinical utility.
A genetic diagnosis for an unexplained disorder can alter management in several ways: such a diagnosis may lead to genetic counseling and ending the diagnostic odyssey, and may affect reproductive decision making.
Because the clinical validity of WES for this indication has not been established, a chain of evidence cannot be constructed.
There is an increasing number of reports assessing use of WES to identify a molecular basis for disorders other than multiple congenital anomalies or neurodevelopmental disorders. The diagnostic yields in these studies ranged from 3% for colorectal cancer to 60% for trio (parents and child) analysis of limb-girdle muscular dystrophy. Some studies have reported on the use of a virtual gene panel with restricted analysis of disease-associated genes, and the authors noted that WES data allow reanalysis as new genes are linked to the patient phenotype. Overall, a limited number of patients have been studied for any specific disorder, and study of WES in these disorders is at an early stage with uncertainty about changes in patient management.
For individuals who are children with a suspected genetic disorder other than multiple congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive WES with trio testing when possible, the evidence includes small case series and prospective research studies. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. There is an increasing number of reports evaluating the use of WES to identify a molecular basis for disorders other than multiple congenital anomalies or neurodevelopmental disorders. The diagnostic yields in these studies range from as low as 3% to 60%. Some studies have reported on the use of a virtual gene panel with restricted analysis of disease-associated genes, and WES data allow reanalysis as new genes are linked to the patient phenotype. Overall, a limited number of patients have been studied for any specific disorder, and clinical use of WES for these disorders is at an early stage with uncertainty about changes in patient management. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
[ ] MedicallyNecessary | [X] Investigational |
The purpose of repeat WES, including re-analysis of data from a previous test, in individuals who have previously received WES is to establish a molecular diagnosis.
The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are as follows:
A definitive diagnosis cannot be made based on history, physical examination, pedigree analysis, and/or standard diagnostic studies or tests;
The clinical utility of a diagnosis has been established (eg, by demonstrating that a definitive diagnosis will lead to changes in clinical management of the condition, changes in surveillance, or changes in reproductive decision making, and these changes will lead to improved health outcomes); and
Establishing the diagnosis by genetic testing will end the clinical workup for other disorders.
The following PICO was used to select literature to inform this review.
The relevant population of interest is individuals who have previously received WES.
The relevant intervention of interest is repeat WES, including re-analysis of data from a previous test.
Repeat WES is intended to be used after a WES test has been performed without establishing a diagnosis. Repeat testing could lead to a diagnosis in a previously undiagnosed individual as new pathogenic genes or variants are identified or new diagnostic technologies are developed. Additionally, testing strategies might be revised based on the emergence of new clinical features as a child develops or the identification of congenital anomalies or developmental disorders in additional family members.
The comparators of interest for this indication are no further molecular testing following an initial WES test, and WGS following an initial WES test.
There is no reference standard for the diagnosis of individuals who have exhausted alternative testing strategies; therefore, diagnostic yield will be the clinical validity outcome of interest.
The health outcomes of interest are reduction in morbidity due to appropriate treatment and surveillance, the end of the diagnostic odyssey, and effects on reproductive planning for parents and potentially the affected individual.
False-positive test results can lead to misdiagnosis and inappropriate clinical management. False-negative test results can lead to a lack of a genetic diagnosis and continuation of the diagnostic odyssey.
For the evaluation of clinical validity of repeat WES, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield of repeat WES;
Patient/sample clinical characteristics were described; children with congenital anomalies or neurodevelopmental disorders were included;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
Dai et al (2022) conducted a systematic review to determine the diagnostic yield of sequencing reanalysis of data from cases with no diagnosis following an initial WES or WGS test (Table 5).33,The primary measure of efficacy was the proportion of undiagnosed individuals reaching a positive diagnosis on reanalysis after first round sequencing and analysis. Results are summarized in Table 6. The overall diagnostic yield was 0.10 (95% confidence interval [CI], 0.06 to 0.13). Using the GRADE framework, the certainty of the evidence for this outcome was rated moderate certainty. Confidence in the estimate was downgraded due to significant heterogeneity across studies that could not be explained by subgroup analyses. The researchers performed subgroup analyses on the basis of time interval between the original analysis and reanalysis (<24 months compared with ≥24 months), sequencing methodology (WES vs. WGS), study sample size (<50, 50 to 100, >100 patients), sequencing of family members for segregation analysis, whether research validation of novel variants/genes were conducted, and whether any artificial intelligence-based tools were used in variant curation. These subgroup analyses did not identify any statistically significant differences in diagnostic yield estimates.
Study | Objective | Literature Search Dates | Study Inclusion Criteria | Populations | Primary Outcome | Quality Assessment Method |
Dai et al (2022)33, | To determine the diagnostic yield, optimal timing, and methodology of next generation sequencing data reanalysis in suspected Mendelian disorders | 2007 to 2021 | Cohort study that included performed reanalysis of NGS data and reported the yield of new molecular diagnoses after reanalysis. Reanalysis defined as bioinformatic examination of the original sequencing data | Individuals with suspected Mendelian disorders who had previously undergone cES or cGS without a molecular diagnosis being reached | Proportion of cases without a molecular diagnosis after initial sequencing that subsequently reached a diagnosis upon reanalysis. | Checklist derived from the 2015 Standards for Reporting of Diagnostic Accuracy criteria; 19 items covering patient eligibility and selection, test protocols, reporting of results, and study limitations |
cES: clinical exome sequencing; cGS: clinical genome sequencing; NGS: next-generation sequencing.
N studies (n Individuals) | Pooled Result, (95% CI) | Heterogeneity | |
Dai et al (2022)33, | |||
Overall diagnostic yield | 29 (9419) | 0.10 (0.06 to 0.13) | I2 = 95.33%; P <.01 |
Subgroup analyses | |||
Re-analysis 24 months or more after initial testing | 7 (2906) | 0.13 (0.09 to 0.18) | I2 = 84%; P =.000 |
Re-analysis < 24 months after initial testing | 11 (1077) | 0.09 (0.06 to 0.13) | I2 = 66.45%; P =.00 |
Studies re-analyzing WES | 25 (4664) | 0.11 (0.08 to 0.14) | I2 = 84.30%; P <.01 |
Studies re-analyzing WGS | 5 (344) | 0.04 (0.01 to 0.09) | I2 = 62.59%; P <.01 |
CI: confidence interval; WES: whole exome sequencing; WGS: whole genome sequencing
Twenty-three of 29 studies (representing 429 individuals) provided the reasons for achieving a diagnosis with re-analysis. In 62% of these cases the reason was a new gene discovery, in 15% the reasons were unknown or unspecified, and in 11% the reason was validation of candidate variants through research or external collaboration. Other reasons included bioinformatic pipeline improvements (3.3%), laboratory errors/misinterpretations (2.8%), updated clinical phenotypes (2.1%), copy number variants (1.9%), and additional segregation studies in relatives (1.2%).
Only 7 of 29 studies provided individual clinical information of sequenced probands (e.g., diagnosed variant, or timing of reanalysis) but instead reported summary data of the overall population. There were 11 studies that reported the finding of variants of uncertain significance (VUS) and/or variants in novel genes but only 8 studies provided research evidence confirming their pathogenicity. Only 3 studies discussed whether a genetic diagnosis led to management changes, and the impact on management was only described in a subgroup of individuals. To address uncertainties in the evidence, the review authors recommended best practices for future research including detailed inclusion and exclusion criteria, detailed clinical information on each case, clear documentation of methodology used for initial and re-analysis, and reporting of the rationale for attribution of pathogenicity.
Table 7 summarizes nonrandomized studies published after the Dai et al (2022) systematic review. The diagnostic yield in these studies was consistent with previous studies. Study limitations were similar to those identified in previous studies (Tables 8 and 9).
Study | Population | N | Design | Yield, n (%) |
Ewans et al (2022)34, | Individuals with undiagnosed suspected Mendelian disorders recruited from genetics units from 2013 to 2017 | 91 individuals from 64 families | Retrospective cohort | WGS: 13/38 WES-negative families (34%) WES re-analysis (average 2 years later): 7/38 families (18%) |
Halfmeyer et al (2022)35, | Individuals with disorders who had been analysed via WES between February 2017 and January 2022 | 1040 affected individuals from 983 families | Retrospective cohort | Initial WES: 155/1040 Re-analysis: 7/885 (0.8%) of all nondiagnostic cases (9 variants were identified; 7 were disease-causing) |
Sun et al (2022)36, | 100 children with global developmental delay/intellectual disability who had undergone CMA and/or WES and remained undiagnosed | 100 affected individuals; 62 had received nondiagnostic WES | Prospective cohort | Overall: 21/100 (21%) CMA only: (64.3%, 9/14) WES only families: 9.7%, 6/62 CMA + WES families: 6/24 (25.0%) |
CMA: chromosomal microarray analysis; WES: whole exome sequencing.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Duration of Follow-Upe |
Ewans et al (2022)34, | 3. Included highly heterogeneous diseases 4. Only half were pediatric age | ||||
Halfmeyer et al (2022)35, | 1,2 Included diagnostic and non-diagnostic samples 3. Included highly heterogeneous diseases 4. Population was not limited to those with no diagnosis following WES; Only half were pediatric age | ||||
Sun et al (2022)36, |
WES: whole exome sequencing. The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Classification thresholds not defined; 2. Version used unclear; 3. Not intervention of interest.c Comparator key: 1. Classification thresholds not defined; 2. Not compared to credible reference standard; 3. Not compared to other tests in use for same purpose.d Outcomes key: 1. Study does not directly assess a key health outcome; 2. Evidence chain or decision model not explicated; 3. Key clinical validity outcomes not reported (sensitivity, specificity, and predictive values); 4. Reclassification of diagnostic or risk categories not reported; 5. Adverse events of the test not described (excluding minor discomforts and inconvenience of venipuncture or noninvasive tests).e Follow-Up key: 1. Follow-up duration not sufficient with respect to natural history of disease (true-positives, true-negatives, false-positives, false-negatives cannot be determined).
Study | Selectiona | Blindingb | Delivery of Testc | Selective Reportingd | Data Completenesse | Statisticalf |
Ewans et al (2022)34, | 1. selection not described | |||||
Halfmeyer et al (2022)35, | 1. selection not described | |||||
Sun et al (2022)36, | 1. selection not described | 2. 5 cases were excluded due to the wrong samples (n = 2), poor sequencing data (n = 2), and (iii) variants were in the WES data but not detectable due to improper filtration |
WES: whole exome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment. WGS: whole genome sequencing.a Selection key: 1. Selection not described; 2. Selection not random or consecutive (ie, convenience).b Blinding key: 1. Not blinded to results of reference or other comparator tests.c Test Delivery key: 1. Timing of delivery of index or reference test not described; 2. Timing of index and comparator tests not same; 3. Procedure for interpreting tests not described; 4. Expertise of evaluators not described.d Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.e Data Completeness key: 1. Inadequate description of indeterminate and missing samples; 2. High number of samples excluded; 3. High loss to follow-up or missing data.f Statistical key: 1. Confidence intervals and/or p values not reported; 2. Comparison with other tests not reported.
Clinical utility of repeat WES testing would be demonstrated if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, more effective therapy, or avoid unnecessary therapy or testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from RCTs.
No RCTs assessing the use of repeat WES to diagnose multiple unexplained congenital anomalies or a neurodevelopmental disorder following an initial WES test were identified.
Due to heterogeneity and limitations in individuals studies, the evidence is insufficient to establish a chain of evidence for the clnical uitlity of repeat WES testing in individuals who are undiagnosed following an initial WES test.
In a systematic review of nonrandomized studies, re-analysis of WES data resulted in an 11% increase in diagnostic yield (95% CI 8% to 14%) in individuals who were previously undiagnosed via WES. However, the evidence is insufficient to establish the clinical utility of repeat testing. Individual studies lacked detail on the reasons for new diagnoses, changes in management based on new diagnoses, and the frequency of the identification of VUS. Additionally, the optimal timing of re-analysis has not been established, and there are no clear guidelines on what factors should prompt the decision to repeat testing.
For individuals who have previously received WES who receive repeat WES, including re-analysis of previous test results, the evidence includes nonrandomized studies and a systematic review. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. There is no direct evidence of clinical utility. In a meta-analysis of nonrandomized studies, re-analysis of WES data resulted in an 11% increase in diagnostic yield (95% confidence interval (CI), 8% to 14%) in individuals who were previously undiagnosed via WES. Three nonrandomized studies published after the meta-analysis had findings consistent with the meta-analysis. Conclusions were limited by heterogeneity across individual studies and a lack of detailed reporting on reasons for new diagnoses, changes in management based on new diagnoses, and the frequency of the identification of variants of uncertain significance (VUS). Therefore, a chain of evidence for clinical utility cannot be established. Additionally, the optimal timing of re-analysis has not been established, and there are no clear guidelines on what factors should prompt the decision to repeat testing. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
[ ] MedicallyNecessary | [X] Investigational |
The purpose of WGS in children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup is to establish a molecular diagnosis from either the coding or noncoding regions of the genome. The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are stated above.
The following PICO was used to select literature to inform this review.
The relevant population of interest is children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup.
The relevant interventions being considered include: WGS with trio testing when possible. Several laboratories offer WGS as a clinical service. Medical centers may also offer rapid WGS (rWGS) as a clinical service. The median time for standard WGS is several weeks.
Note that this evidence review does not address the use of WGS for preimplantation genetic diagnosis or screening, prenatal (fetal) testing, or for testing of cancer cells.
The following practices are currently being used to diagnose a suspected genetic disorder: A standard clinical workup without WES or WGS, and WES with trio testing when possible.
A standard clinical workup for an individual with a suspected genetic condition varies by patient phenotype but generally involves a thorough history, physical exam (including dysmorphology and neurodevelopmental assessment, if applicable), routine laboratory testing, and imaging. If the results suggest a specific genetic syndrome, then established diagnostic methods relevant for that syndrome would be used.
There is no reference standard for the diagnosis of patients who have exhausted alternative testing strategies; therefore, diagnostic yield will be the clinical validity outcome of interest.
The health outcomes of interest are reduction in morbidity due to appropriate treatment and surveillance, the end of the diagnostic odyssey, and effects on reproductive planning for parents and potentially the affected patient.
False-positive test results can lead to misdiagnosis and inappropriate clinical management. False-negative test results can lead to a lack of a genetic diagnosis and continuation of the diagnostic odyssey.
For the evaluation of clinical validity of WGS, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield or performance characteristics such as sensitivity and specificity of rapid WGS or WGS;
Patient/sample clinical characteristics were described;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
The use of WGS has been studied in children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following standard workup in several observational studies, both prospective and retrospective. Studies are described in Table 10. The diagnostic yield of WGS has been between 20% and 40%. Additional indirect evidence is available from studies reporting diagnostic yield of WES in a similar population as summarized above, and it is reasonable to expect that WGS is likely to result in similar or better diagnostic yield for pathogenic or likely pathogenic variants as compared with WES.
Study | Patient Population | N | Design | Yield,n (%) | Additional Information |
Lionel et al (2018)37, | Well-characterized but genetically heterogeneous cohort of children <18 y that had undergone targeted gene sequencing Referral clinic: 44% metabolic, 23% ophthalmology, 15% joint laxity/hypermobility | 103 | Prospective Trio WGS testing for patients recruited from pediatric nongenetic subspecialists | 42 (41) | Compared with a 24% yield with standard diagnostic testing and a 25% increase in yield from WES Limited information on change in management |
Costain et al (2018), re-analysis38, Stavropoulos et al (2016)39,, original analysis | Children (<18 y) with undiagnosed congenital malformations and neurodevelopmental disorders Presentation: abnormalities of the nervous system (77%), skeletal system (68%), growth (44%), eye (34%), cardiovascular (32%), and musculature (27%) | 64, re-analysis 100, original analysis | Prospective, consecutive Proband WGS was offered in parallel with clinical CMA testing | 7 (11), re-analysis 34 (34), original analysis | Costain (2018) is a re-analysis of undiagnosed patients from Stavropoulos et al (2016) CMA plus targeted gene sequencing yield was 13% WGS yield highest for developmental delay 39% (22/57) and lowest (15%) for connective tissue disorders Change in management reported for some patients 7 incidental findings |
Hiatt et al (2018) 40, re-analysis Bowling et al (2017)41, original analysis | Children with developmental and/or intellectual delays of unknown etiology 81% had genetic testing prior to enrollment | Original analysis included 244 Re-analysis included additional 123, for a total cohort of 494 | Retrospective, selection method and criteria unclear Trio WGS in a referral center | 54 (22)1, original analysis | Re-analysis: Re-analysis yielded pathogenic or likely pathogenic variants that were not initially reported in 23 patients Downgraded 3 'likely pathogenic' and 6 VUS Original analysis: Compared to 30% yield for WES1 Changes in management not reported 11% VUS in WGS |
Gilissen et al (2014)42, | Children with severe intellectual disability who did not have a diagnosis after extensive genetic testing that included whole exome sequencing | 50 | Trio WGS testing including unaffected parents | 201 (42) | Of 21 with a positive diagnosis, 20 had de novo variants Changes in management not reported |
Lindstrand et al (2022)43, | Individuals with an intellectual disability diagnosis or a strong clinical suspicion of intellectual disability | 229 | Retrospective cohort; compared diagnostic yield from 3 genetic testing approaches: WGS 1st line, WGS 2nd line, and CMA with or without FMR1 analysis | WGS 1st line: 47 variants in 43 individuals (35%) WGS 2nd line: 48 variants in 46 individuals (26%) CMA/FMR1: 51 variants in 51 individuals (11%) | VUS: |
van der Sanden et al (2022)44, | Consecutive individuals with neurodevelopmental delay of suspected genetic origin; clinical geneticist had requested a genetic diagnostic test to identify the molecular defect underlying the individual's phenotype; | 150 | Prospective cohort; all had both SOC (including WES) and WGS with trio testing | SOC/WES: 43/150 (28.7%) WGS: 45/150 (30.0%) | VUS: WGS identified a possible diagnosis for 35 individuals of which 31 were also identified by the WES-based SOC pathway Management changes not addressed |
CMA: chromosomal microarray analysis; SNV: single nucleotide variant; SOC: standard of care; VUS: variant of uncertain significance; WES: whole exome sequencing; WGS: whole genome sequencing. 1 SNV/indel.
Tables 11 and 12 display notable limitations identified in each study.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Duration of Follow-Upe |
Lionel et al (2018)37, | 3. Included highly heterogeneous diseases | 3. Proband testing only | |||
Costain et al (2018), re-analysis38, | 3. Proband testing only | ||||
Bowling et al (2017)41, | 4. 19% had no prescreening performed | ||||
Gilissen et al (2014)42, | |||||
Lindstrand et al (2022)43, | 3. Included highly heterogeneous diseases | 3. No comparison to WES, 2nd line WGS cohort did not include individuals who had received WES | |||
van der Sanden et al (2022)44, | 1. Individuals with a recognizable syndrome requiring confirmation were not excluded. 3. Included highly heterogeneous diseases | 1. Management changes or health outcomes not addressed. |
WES: whole exome sequencing; WGS: whole genome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Classification thresholds not defined; 2. Version used unclear; 3. Not intervention of interest.c Comparator key: 1. Classification thresholds not defined; 2. Not compared to credible reference standard; 3. Not compared to other tests in use for same purpose.d Outcomes key: 1. Study does not directly assess a key health outcome; 2. Evidence chain or decision model not explicated; 3. Key clinical validity outcomes not reported (sensitivity, specificity, and predictive values); 4. Reclassification of diagnostic or risk categories not reported; 5. Adverse events of the test not described (excluding minor discomforts and inconvenience of venipuncture or noninvasive tests).e Follow-Up key: 1. Follow-up duration not sufficient with respect to natural history of disease (true-positives, true-negatives, false-positives, false-negatives cannot be determined).
Study | Selectiona | Blindingb | Delivery of Testc | Selective Reportingd | Data Completenesse | Statisticalf |
Lionel et al (2018)37, | 1,2. Unclear how patients were selected from those eligible | |||||
Costain et al (2018), re-analysis38, | ||||||
Bowling et al (2017)41, | 1,2. Unclear how patients were selected from those eligible | |||||
Gilissen et al (2014)42, | ||||||
Lindstrand et al (2022)43, | 1. selection not described | |||||
van der Sanden et al (2022)44, |
The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment. WGS: whole genome sequencing.a Selection key: 1. Selection not described; 2. Selection not random or consecutive (ie, convenience).b Blinding key: 1. Not blinded to results of reference or other comparator tests.c Test Delivery key: 1. Timing of delivery of index or reference test not described; 2. Timing of index and comparator tests not same; 3. Procedure for interpreting tests not described; 4. Expertise of evaluators not described.d Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.e Data Completeness key: 1. Inadequate description of indeterminate and missing samples; 2. High number of samples excluded; 3. High loss to follow-up or missing data.f Statistical key: 1. Confidence intervals and/or p values not reported; 2. Comparison with other tests not reported.
A 2020 Health Technology Assessment conducted by Ontario Health, with literature searches conducted in January 2019, included a comparative review of the diagnostic yield of WES and WGS in children with unexplained developmental disabilities or multiple congenital anomalies.45, The diagnostic yield across all studies was 37% (95% CI, 34% to 40%). More studies, with an overall larger sample size, were included in the examination on WES (34 studies, N=9142) than on WGS (9 studies, N=648). Confidence intervals for studies using WES versus WGS overlapped (37%; 95% CI, 34% to 40%, vs. 40%; 95% CI, 32% to 49%). Diagnostic yield ranged between 16% and 73%, with variation attributed largely to technology used and participant selection. The overall quality of the evidence was rated as very low, downgraded for risk of bias, inconsistency, indirectness, and imprecision.
In some studies of WGS, the genes examined were those previously associated with the phenotype, while other studies were research-based and conducted more exploratory analysis. It has been noted that genomes sequenced with WGS are available for future review when new variants associated with clinical diseases are discovered.37,
Studies have shown that WGS can detect more pathogenic variants than WES, due to an improvement in detecting copy number variants, insertions and deletions, intronic single-nucleotide variants, and exonic single-nucleotide variants in regions with poor coverage on WES. A majority of studies have described methods for interpretation of WGS indicating that only pathogenic or likely pathogenic variants were included in the diagnostic yield and that VUS were not reported. Five studies included in the Ontario Health Technology Assessment review provided data on the yield of VUS, with an overall yield of 17%. Only 1 of the 5 studies used WGS, however. The review authors noted, "Whole genome sequencing always results in substantially longer lists of variants of unknown significance than whole exome sequencing does. Interpreting and acting upon variants of unknown clinical significance is the single greatest challenge identified by clinicians….”45,
A test is clinically useful if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, or more effective therapy, or avoid unnecessary therapy, or avoid unnecessary testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from RCTs.
No RCTs assessing the use of WGS to diagnose multiple unexplained congenital anomalies or a neurodevelopmental disorder outside of critical care were identified.
Indirect evidence on clinical utility rests on clinical validity. If the evidence is insufficient to demonstrate test performance, no inferences can be made about clinical utility.
Clinical validity is established based on the meaningful diagnostic yield associated with WGS when a genetic etiology is uncertain after standard workup. Studies on WGS report changes in management that would improve health outcomes. The effect of WGS results on health outcomes are the same as those with WES, including avoidance of invasive procedures, medication changes to reduce morbidity, discontinuation of or additional testing, and initiation of palliative care or reproductive planning.
Section Summary: Whole Genome Sequencing for Children with Multiple Congenital Anomalies or a Neurodevelopmental Disorder of Unknown Etiology Following Standard Workup; Individuals who are not Critically Ill
Whole genome sequencing has been studied in non-critically ill children with congenital anomalies and developmental delays of unknown etiology following a standard workup. The diagnostic yield for WGS has been reported between 20% and 40%. A majority of studies described methods for interpretation of WGS indicating that only pathogenic or likely pathogenic variants were included in the diagnostic yield and that VUS were frequently not reported. Although the diagnostic yield of WGS is at least as high as WES in individuals without a diagnosis following standard clinical workup, it is unclear if the additional yield results in actionable clinical management changes that improve health outcomes. Further, while reporting practices of VUS found on exome and genome sequencing vary across laboratories, WGS results in the identification of more VUS than WES. The clinical implications of this difference are uncertain as more VUS findings can be seen as potential for future VUS reclassification allowing a diagnosis. However, most VUS do not relate to the patient phenotype, the occurrence of medical mismanagement and patient stress based on misinterpretation of VUS is not well defined, and provider reluctance to interpret VUS information lessen the value of additional VUS identification by WGS. As such, higher yield and higher VUS from WGS currently have limited clinical utility.
For individuals who are children who are not critically ill with multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup or WES who receive whole genome sequencing (WGS) with trio testing when possible, the evidence includes nonrandomized studies and a systematic review. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. In studies of children with congenital anomalies and developmental delays of unknown etiology following standard clinical workup, the yield of WGS has ranged between 20% and 40%. A majority of studies described methods for interpretation of WGS indicating that only pathogenic or likely pathogenic variants were included in the diagnostic yield and that VUS were frequently not reported. In a systematic review, the pooled (9 studies, N=648) diagnostic yield of WGS was 40% (95% CI, 32% to 49%). Although the diagnostic yield of WGS is at least as high as WES in individuals without a diagnosis following standard clinical workup, it is unclear if the additional yield results in actionable clinical management changes that improve health outcomes. Further, while reporting practices of VUS found on exome and genome sequencing vary across laboratories, WGS results in the identification of more VUS than WES. The clinical implications of this difference are uncertain as more VUS findings can be seen as potential for future VUS reclassification allowing a diagnosis. However, most VUS do not relate to the patient phenotype, the occurrence of medical mismanagement and patient stress based on misinterpretation of VUS is not well defined, and provider reluctance to interpret VUS information lessen the value of additional VUS identification by WGS. As such, higher yield and higher VUS from WGS currently have limited clinical utility. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
[ ] MedicallyNecessary | [X] Investigational |
The purpose of WGS in patients with a suspected genetic disorder of unknown etiology following a standard workup is to establish a molecular diagnosis from either the coding or noncoding regions of the genome. The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are stated above.
The following PICO was used to select literature to inform this review.
The relevant population of interest is children with a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup.
The relevant interventions being considered include: WGS with trio testing when possible. Several laboratories offer WGS as a clinical service. Medical centers may also offer WGS as a clinical service. The median time for standard WGS is several weeks.
Note that this evidence review does not address the use of WGS for preimplantation genetic diagnosis or screening, prenatal (fetal) testing, or for testing of cancer cells.
The following practice is currently being used to diagnose a suspected genetic disorder: standard clinical workup without WES or WGS. A standard clinical workup for an individual with a suspected genetic condition varies by patient phenotype but generally involves a thorough history, physical exam (including dysmorphology and neurodevelopmental assessment, if applicable), routine laboratory testing, and imaging. If the results suggest a specific genetic syndrome, then established diagnostic methods relevant for that syndrome would be used.
There is no reference standard for the diagnosis of patients who have exhausted alternative testing strategies; therefore, diagnostic yield will be the clinical validity outcome of interest.
The health outcomes of interest are reduction in morbidity due to appropriate treatment and surveillance, the end of the diagnostic odyssey, and effects on reproductive planning for parents and potentially the affected patient.
False-positive test results can lead to misdiagnosis and inappropriate clinical management. False-negative test results can lead to a lack of a genetic diagnosis and continuation of the diagnostic odyssey.
For the evaluation of clinical validity of WGS, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield or performance characteristics such as sensitivity and specificity of rapid WGS or WGS;
Patient/sample clinical characteristics were described;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
The use of WGS has been studied in children with a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder in several observational studies, both prospective and retrospective. Studies are described in Table 13. The diagnostic yield of WGS has been between 9% and 55%. However, these studies include mixed indications with heterogeneous populations and include little information about associated changes in management following genetic diagnosis.
Study | Patient Population | N | Design | Yield, n (%) | Additional Information |
Costain et al (2020)46, | Children with medical complexity (children with at least 1 feature from each of the following: technology-dependent or use of high-intensity care, fragility, chronicity, and complexity) | 138 (49 probands) | Prospective WGS in patients referred to a single-center | 15 (30.6) | Management decisions beyond genetic and reproductive counseling were influenced in at least 11 families |
Thiffault et al (2019)47, | Patients with suspected genetic disorders referred for genetic testing between 2015 and 2017. The majority had previous genetic testing without a diagnosis. The mean age was 7 yrs. | 80 | Prospective. The majority underwent trio sequencing; WGS was performed for the proband and WES was done for both parents | 19 (24) | 2 partial gene deletions detected with WGS that would not be detectable with WES |
Alfares et al (2018)48, | Undiagnosed patients (91% pediatric) who had a history of negative WES testing 70% Consanguinity | 154 recruited; 108 included in analysis | Retrospective, selection method and criteria unclear | 10 (9) | Reported incremental yield of WGS in patients with negative CGH and WES |
Carss et al (2017)49, | Unexplained inherited retinal disease; ages not specified | 605 | Retrospective NIHR-BioResource Rare Diseases Consortium | 331 (55) | Compared with a detection rate of 50% with WES (n=117) |
Ellingford et al (2016)50, | Unexplained inherited retinal disease; ages not specified | 46 | Prospective WGS in patients referred to a single-center | 24 (52) | Estimated 29% increase in yield vs. targeted NGS |
Taylor et al (2015)51, | Broad spectrum of suspected genetic disorders (Mendelian and immunological disorders) | 217 | Prospective, multicenter series Clinicians and researchers submitted potential candidates for WGS and selections were made by a scientific Steering Committee. Patients were eligible if known candidate genes and large chromosomal copy number changes had been excluded. Trio testing for a subset of 15 families. | 46 (21) | 34% yield in Mendelian disorders; 57% yield in trios |
Yuen et al (2015)52, | Individuals with diagnosed ASD | 50 | Prospective; unclear how patients were selected; quartet testing of extensively phenotyped families (parents and 2 ASD-affected siblings) | 21 (42) | 12/20 had change in management; 1/20 had change in reproductive counseling |
ASD: autism spectrum disorder; CGH: comparative genomic hybridization; NGS: next-generation sequencing; NIHR: National Institute for Health Research; WES: whole exome sequencing; WGS: whole genome sequencing.
Tables 14 and 15 display notable limitations identified in each study.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Duration of Follow-Upe |
Costain et al (2020)46, | 3. Included heterogeneous diseases | ||||
Thiffault et al (2019)47, | 3. Included heterogeneous diseases | ||||
Alfares et al (2018)48, | 3: Clinical characteristics not described 4: 70% consanguinity | 3. Appears to be proband testing only but not clear | |||
Carss et al (2017)49, | 4. 25% had no prescreening performed | ||||
Ellingford et al (2016)50, | 3. Proband testing only | ||||
Taylor et al (2015)51, | 3. Included highly heterogeneous diseases | ||||
Yuen et al (2015)52, | 4: All patients had a clinical diagnosis | 3: Results of standard diagnostic methods not discussed |
The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Classification thresholds not defined; 2. Version used unclear; 3. Not intervention of interest.c Comparator key: 1. Classification thresholds not defined; 2. Not compared to credible reference standard; 3. Not compared to other tests in use for same purpose.d Outcomes key: 1. Study does not directly assess a key health outcome; 2. Evidence chain or decision model not explicated; 3. Key clinical validity outcomes not reported (sensitivity, specificity, and predictive values); 4. Reclassification of diagnostic or risk categories not reported; 5. Adverse events of the test not described (excluding minor discomforts and inconvenience of venipuncture or noninvasive tests).e Follow-Up key: 1. Follow-up duration not sufficient with respect to natural history of disease (true-positives, true-negatives, false-positives, false-negatives cannot be determined).
Study | Selectiona | Blindingb | Delivery of Testc | Selective Reportingd | Data Completenesse | Statisticalf |
Costain et al (2020)46, | ||||||
Thiffault et al (2019)47, | 1,2: Unclear how patients were selected from those eligible | |||||
Alfares et al (2018)48, | 1,2: Unclear how patients were selected from those eligible | |||||
Carss et al (2017)49, | ||||||
Ellingford et al (2016)50, | ||||||
Taylor et al (2015)51, | ||||||
Yuen et al (2015)52, | 1,2. Unclear how patients were selected from those eligible |
The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment. a Selection key: 1. Selection not described; 2. Selection not random or consecutive (ie, convenience).b Blinding key: 1. Not blinded to results of reference or other comparator tests.c Test Delivery key: 1. Timing of delivery of index or reference test not described; 2. Timing of index and comparator tests not same; 3. Procedure for interpreting tests not described; 4. Expertise of evaluators not described.d Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.e Data Completeness key: 1. Inadequate description of indeterminate and missing samples; 2. High number of samples excluded; 3. High loss to follow-up or missing data.f Statistical key: 1. Confidence intervals and/or p values not reported; 2. Comparison with other tests not reported.
A test is clinically useful if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, more effective therapy, or avoid unnecessary therapy or testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from RCTs.
No RCTs assessing the use of WGS to diagnose a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder were identified.
Indirect evidence on clinical utility rests on clinical validity. If the evidence is insufficient to demonstrate test performance, no inferences can be made about clinical utility.
A genetic diagnosis for an unexplained disorder can alter management in several ways: such a diagnosis may lead to genetic counseling and ending the diagnostic odyssey, and may affect reproductive decision making.
Because the clinical validity of WGS for this indication has not been established, a chain of evidence cannot be constructed.
Section Summary: Whole Genome Sequencing for a Suspected Genetic Disorder Other Than Multiple Congenital Anomalies or a Neurodevelopmental Disorder; Individuals who are not Critically Ill
Whole genome sequencing has also been studied in children with a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following standard workup. The diagnostic yield of WGS has been between 9% and 55%. However, these studies include mixed indications with heterogeneous populations and include little information about associated changes in management following genetic diagnosis.
For individuals who are children with a suspected genetic disorder other than multiple unexplained congenital anomalies or a neurodevelopmental disorder of unknown etiology following a standard workup who receive WGS with trio testing when possible, the evidence includes case series. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. Whole genome sequencing has also been studied in other genetic conditions with yield ranging from 9% to 55%. Overall, a limited number of patients have been studied for any specific disorder, and clinical use of WGS as well as information regarding meaningful changes in management for these disorders is at an early stage. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
[ ] MedicallyNecessary | [X] Investigational |
The purpose of rapid WES (rWES) or rWGS in critically ill patients with a suspected genetic disorder of unknown etiology is to establish a molecular diagnosis from either the coding or noncoding regions of the genome. The criteria under which diagnostic testing for a genetic or heritable disorder may be considered clinically useful are stated above.
The most common cause of death in neonates in the United States is genetic disorders. Currently, critically ill neonates with suspected genetic diseases are frequently discharged or deceased without a diagnosis. There are thousands of rare genetic disorders. The presentation of many of these disorders in neonates may be nonspecific or differ from the presentation in older patients and the disorder may produce secondary involvement of other systems due to the fragility of the neonate that obscures the primary pathology. The neonatal intensive care unit (NICU) treatment of suspected genetic diseases is often empirical. Rapid diagnosis is critical for delivery of interventions that reduce morbidity and mortality in genetic diseases for which treatments exist. For many genetic diseases there is no effective treatment and timely diagnosis limits futile intensive care.
The following PICO was used to select literature to inform this review.
The relevant population of interest is critically ill infants presenting with any of a variety of disorders and anomalies suspected to have a genetic basis but not explained by a standard workup. For example, patients may have a phenotype that does not correspond with a specific disorder for which a genetic test targeting a specific gene is available. Specifically for critically ill infants, the population would also include patients for whom specific diagnostic tests available for that phenotype are not accessible within a reasonable timeframe. Petrikin (2018) identified critically ill infants that are appropriate for rapid testing as meeting the following inclusion criteria: multiple congenital anomalies; an abnormal laboratory test suggests a genetic disease or complex metabolic phenotype; an abnormal response to standard therapy for a major underlying condition; significant hypotonia; or persistent seizures. Exclusion criteria included: an infection with normal response to therapy; isolated prematurity; isolated unconjugated hyperbilirubinemia; Hypoxic Ischemic Encephalopathy; confirmed genetic diagnosis explains illness; Isolated Transient Neonatal Tachypnea; or nonviable neonates.53,
The relevant interventions being considered include:
rapid WES with trio testing when possible
rapid WGS with trio testing when possible
Several laboratories offer WES or WGS as a clinical service. Medical centers may also offer rWES or rWGS or standard WES or WGS as a clinical service. The median time for standard WGS is several weeks. In its 2021 guideline, the American College of Medical Genetics and Genomics defines rapid and ultrarapid testing as 6 to 15 days and 1 to 3 days, respectively.54,
Note that this evidence review does not address the use of WES or WGS for preimplantation genetic diagnosis or screening, prenatal (fetal) testing, or for testing of cancer cells.
The following practice is currently being used to diagnose a suspected genetic disorder: a standard clinical workup without WES or WGS. A standard clinical workup for an individual with a suspected genetic condition varies by patient phenotype but generally involves a thorough history, physical exam (including dysmorphology and neurodevelopmental assessment, if applicable), routine laboratory testing, and imaging. If the results suggest a specific genetic syndrome, then established diagnostic methods relevant for that syndrome would be used.
Outcomes of interest are as described above for use of WES in patients with multiple congenital anomalies or a neurodevelopmental disorder. For critically ill infants, rapid diagnosis is important; therefore, in addition to the outcomes described in the previous section, time to diagnosis and time to discharge are also outcomes of interest.
Of course, mortality is a compelling outcome. However, many of the conditions are untreatable and diagnosis of an untreatable condition may lead to earlier transition to palliative care but may not prolong survival.
For the evaluation of clinical validity of rWES or rWGS, studies that met the following eligibility criteria were considered:
Reported on the diagnostic yield or performance characteristics such as sensitivity and specificity of rWES or rWGS;
Patient/sample clinical characteristics were described;
Patient/sample selection criteria were described;
Included at least 20 patients.
A test must detect the presence or absence of a condition, the risk of developing a condition in the future, or treatment response (beneficial or adverse).
The use of rWES and rWGS has been studied in critically ill children in multiple observational studies, both prospective and retrospective, and in 3 RCTs. Studies are described in Table 16. The RCTs are discussed in more detail in the following ‘clinically useful’ section. One study included only infants with cardiac defects and had a diagnostic yield of 6% with WGS. The remaining studies included phenotypically diverse but critically ill infants and had yields of between 30% and 60%.
Study | Patient Population | N | Design | Yield, n (%) | Additional Information |
rapid WES | |||||
Wu et al (2019)55, | Pediatric patients (<18 yr old) who were critically ill (PICU; 68%) and suspected of having a genetic disease or newborns who were suspected of having a serious genetic disease after newborn screening. The primary phenotypes were neurologic (35%), cardiac (22.5%), metabolic (15%), and immunological (15%). Ages ranged from 0.2 mos to 13 yrs. | 40 | Eligibility and selection from eligible patients were unclear. Trio testing was performed. | 21 (52.5) |
|
Elliott et al (2019) 56,RAPIDOMICS | NICU neonates with unexplained seizures, metabolic disturbances (4%), neurological disorders (28%), multiple congenital anomalies (56%), or significant physiological disturbance for which diagnosis would likely change clinical management | 25 | Patients were evaluated for enrollment by a clinical geneticist and a neonatologist and approved by the research team. Trio analysis was performed. All patients with suspected definitely, possibly, or partially causal variants generated by rWES underwent Sanger validation | 15 (60) |
|
Gubbels et al (2019) 57, | Infants age <6 mos admitted to ICU with recent presentation of seizures (20%), hypotonia (40%), multiple congenital anomalies (72%), complex metabolic phenotype (32%), or other. | 50 | New ICU admissions were triaged daily by a patient selection algorithm developed by a multidisciplinary medical team (neonatology, genetics, and neurology); whole-blood samples were collected from probands and parents for trio-based exome sequencing. | 29 (58) |
|
Stark et al (2018)12, | Acutely unwell pediatric patients with suspected monogenic disorders; 22% congenital abnormalities and dysmorphic features; 43% neurometabolic disorder; 35% other. | 40 | Recruited during clinical care by the clinical genetics services at the 2 tertiary pediatric hospitals; panel of study investigators reviewed eligibility; used singleton rWES. | 21 (53) |
|
Meng et al (2017)58, | Critically ill infants within the first 100 days of life who were admitted to a tertiary care center between 2011 and 2017 and who were suspected to have genetic disorders. 208 infants were in the NICU or PICU at time of sample. | 278 overall; 208 in NICU or PICU; 63 received rWES | Referred to tertiary care; proband WES in 63%, trio WES in 14%; critical trio rWES in 23%. | 102 (37) overall; 32 (51) for rWES |
|
rapid WGS | |||||
French et al (2019)59, | Infants and children in the NICU and PICU admitted between 2016 and 2018 with a possible single gene disorder. Exclusion criteria for infants included: admitted for short stay post-delivery surveillance, prematurity without additional features, babies with a clear antenatal or delivery history suggestive of a non-genetic cause and those babies where a genetic diagnosis was already made. Median age, NICU: 12 days, PICU: 24 mos | Overall: 195 NICU: 106 PICU: 61 Pediatric neurology or clinical genetics department: 28 | Trio WGS testing (when available) for the prospective cohort of families recruited in the NICU and PICU at a single site in the U.K. | Overall: 40 (21) NICU: 13 PICU: 25 | Diagnosis affected clinical management in more than 65% of cases (83% in neonates) including modification of treatments (13%) and care pathways (35% in PICU, 48% in NICU) and/or informing palliative care decisions. For at least 7 cases, distinguishing between inherited and de novo variants informed reproductive decisions. VUS in 2 (1%) |
Sanford et al (2019)60, | Children 4 mos to 18 yrs admitted to a single-center PICU between 2016 and 2018 with suspicion for an underlying monogenic disease. Median age: 3 yrs Primary reasons for admission: respiratory failure (18%), shock (16%), altered mental status (13%), and cardiac arrest (13%) | 38 | Trio rWGS testing (when available) in a retrospective cohort study of consecutive children who had rWGS after admission to a single-center tertiary hospital in the U.S. | 17 (45) | VUS identified in all cases but were not reported to patients. Changes in ICU management in 4 diagnosed children (24%), 3 patients had medication changes, 14 children had a subacute (non-ICU) change in clinical management that had implications for family screening |
Hauser et al (2018)61, | Neonatal and pediatric patients born with a cardiac defect in whom the suspected genetic disorder had not been found using conventional genetic methods | 34 | Trio rWGS testing for patients recruited from the NICU, PICU, or general inpatient pediatric ward of a single-center | 2 (6) | VUS in 10 (26%) |
Farnaes et al (2018)62, | Critically ill infants with undiagnosed, highly diverse phenotypes. Median age 62 days (range 1 to 301 days). Multiple congenital anomalies, 29%; neurological, 21%; hepatic, 19% | 42 | Retrospective; comparative (received rWGS) and standard testing (mostly commonly CMA) Trio testing (when available) using rWGS | 18 (43) | 10% were diagnosed by a standard test Change in management after WGS in 13 of 18 (72%) patients with a new genetic diagnosis Estimated that rWGS reduced length of stay by 124 days |
Mestek-Boukhibar et al (2018)63, | Acutely ill infants with a suspected underlying monogenetic disease. Median age 2.5 mos. Referred from clinical genetics, 42%; immunology 21%; intensive care, 13% | 24 | Prospective; rWGS trio testing in a tertiary children's hospital PICU and pediatric cardiac intensive care unit. | 10 (42) | Change in management in 3 patients |
Van Diemen (2018)64, | Critically ill infants with an undiagnosed illness excluding those with a clear clinical diagnosis for which a single targeted test or gene panel was available; median age 28 days. Presentation: cardiomyopathy, 17%, severe seizure disorder, 22%, abnormal muscle tone, 26%, 13% liver failure | 23 | Prospective rWGS Trio testing of patients from NICU/PICU; decision to include a patient was made by a multidisciplinary team; regular genetic and other investigations were performed in parallel | 7 (30) | 2 patients required additional sequencing data 1 incidental finding from WGS led to the withdrawal of unsuccessful intensive care treatment in 5 of the 7 children diagnosed |
Willig (2015)65, | Acutely ill infants with an undiagnosed illness, suspected genetic etiology; 26% congenital anomalies; 20% neurological; 14% cardiac; 11% metabolic Median age 26 days | 35 | Retrospective; enrolled in a research biorepository (nominated by treated physician, reviewed by panel of experts); had rWGS and standard diagnostic tests to diagnose monogenic disorders of unknown cause; trio testing | 20 (57) | Had diagnoses with ‘strongly favorable effects on management’; Palliative care initiated in 6 infants of 20; WGS diagnoses were diseases that were not part of the differential at time of enrollment |
CMA: chromosomal microarray analysis; ICU: intensive care unit; NICU: neonatal intensive care unit; PICU: pediatric intensive care unit; RAPIDOMICS: rapid genome-wide sequencing in a neonatal intensive care unit-successes and challenges; rWES: rapid whole exome sequencing; rWGS: rapid whole genome sequencing; VUS: variant of uncertain significance; WGS: whole genome sequencing; WES: whole exome sequencing.
Tables 17 and 18 display notable limitations identified in each study.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Duration of Follow-Upe |
Wu et al (2019)55, | 3: Results of standard diagnostic methods not discussed | ||||
Elliott et al (2019) 56, | |||||
Gubbels et al (2019) 57, | 3: Results of standard diagnostic methods not discussed | ||||
Stark et al (2018)12, | 3. Included highly heterogeneous diseases | 3. Proband testing only | 3: Results of standard diagnostic methods not discussed | ||
Meng et al (2017)58, | 3: Not all patients received rapid testing | 3: Chromosomal microarray analysis was completed for 85% but results not discussed | |||
French et al (2019)59, | 3: No comparator | ||||
Sanford et al (2019)60, | 3: No comparator | ||||
Hauser et al (2018)61, | 3: No comparator | ||||
Farnaes et al (2018)62, | 3. Included highly heterogeneous diseases | ||||
Mestek-Boukhibar et al (2018)63, | 3. Included highly heterogeneous diseases | 3: No comparator | |||
Van Diemen (2018)64, | 3. Included highly heterogeneous diseases | 3: Results of standard diagnostic methods not discussed; were available after rWGS | |||
Willig et al (2015)65, | 3. Included highly heterogeneous diseases | 3: Results of standard diagnostic methods not discussed | |||
Gilissen et al (2014)42, |
rWGS: rapid whole genome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Classification thresholds not defined; 2. Version used unclear; 3. Not intervention of interest.c Comparator key: 1. Classification thresholds not defined; 2. Not compared to credible reference standard; 3. Not compared to other tests in use for same purpose.d Outcomes key: 1. Study does not directly assess a key health outcome; 2. Evidence chain or decision model not explicated; 3. Key clinical validity outcomes not reported (sensitivity, specificity and predictive values); 4. Reclassification of diagnostic or risk categories not reported; 5. Adverse events of the test not described (excluding minor discomforts and inconvenience of venipuncture or noninvasive tests).e Follow-Up key: 1. Follow-up duration not sufficient with respect to natural history of disease (true-positives, true-negatives, false-positives, false-negatives cannot be determined).
Study | Selectiona | Blindingb | Delivery of Testc | Selective Reportingd | Data Completenesse | Statisticalf |
Wu et al (2019)55, | 1: Criteria for selection unclear | |||||
Elliott et al (2019)56, | 2: Potential enrollees selected by a panel | |||||
Gubbels et al (2019)57, | 2: New ICU admissions were triaged by 1 team and enrollment criteria were applied by a panel | |||||
Stark et al (2018)12, | 2: Eligibility determined by panel; a minimum of 2 clinical geneticists had to agree rWES was appropriate for a patient to be enrolled | |||||
Meng et al (2017)58, | 1,2 Unclear if the patients were randomly or consecutively chosen from those who were eligible | |||||
French et al (2019)59, | 1,2. Unclear how patients were selected from those eligible | |||||
Sanford et al (2019)60, | ||||||
Hauser et al (2018)61, | ||||||
Farnaes et al (2018)62, | 2: Patients nominated by clinicians | |||||
Mestek-Boukhibar et al (2018)63, | 2: Eligibility criteria established after first 10 enrolled. | |||||
Van Diemen (2018)64, | 2: Decision to include a patient was made by a multidisciplinary team | |||||
Willig et al (2015)65, | 2: Nominated by treated physician, reviewed by panel of experts for inclusion | |||||
Gilissen et al (2014)42, |
ICU: intensive care unit; rWES: rapid whole exome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment.a Selection key: 1. Selection not described; 2. Selection not random or consecutive (ie, convenience).b Blinding key: 1. Not blinded to results of reference or other comparator tests.c Test Delivery key: 1. Timing of delivery of index or reference test not described; 2. Timing of index and comparator tests not same; 3. Procedure for interpreting tests not described; 4. Expertise of evaluators not described.d Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.e Data Completeness key: 1. Inadequate description of indeterminate and missing samples; 2. High number of samples excluded; 3. High loss to follow-up or missing data.f Statistical key: 1. Confidence intervals and/or p values not reported; 2. Comparison with other tests not reported.
A test is clinically useful if the use of the results informs management decisions that improve the net health outcome of care. The net health outcome can be improved if patients receive correct therapy, more effective therapy, or avoid unnecessary therapy or testing.
Direct evidence of clinical utility is provided by studies that have compared health outcomes for patients managed with and without the test. Because these are intervention studies, the preferred evidence would be from randomized controlled trials.
Three RCTs have evaluated rWGS or rWES in critically ill infants or children.
Kingsmore et al (2019) reported early results of A Randomized, Blinded, Prospective Study of the Clinical Utility of Rapid Genomic Sequencing for Infants in the Acute-care Setting (NSIGHT2) trial66,. NSIGHT2 was a randomized, controlled, blinded trial of the effectiveness of rapid whole-genome or -exome sequencing (rWGS or rWES, respectively) in seriously ill infants with diseases of unknown etiology primarily from the NICU, pediatric intensive care unit (PICU), and cardiovascular intensive care unit (CVICU) at a single hospital in San Diego. Details of the study are provided in Table 19 and results are shown in Table 20. Ninety-five infants were randomized to rWES and 94 to rWGS. In addition 24 infants who were gravely ill received ultrarapid WGS (urWGS). The initial Kingsmore et al (2019) publication included only the diagnostic outcomes. The diagnostic yield of rWGS and rWES was similar (19% vs. 20%, respectively), as was time to result (median, 11 vs. 11 days). Although the urWGS was not part of the randomized portion of the study, the proportion diagnosed by urWGS was 11 of 24 (46%) and time to result was a median of 4.6 days. The incremental diagnostic yield of reflexing to trio testing after inconclusive proband analysis was 0.7% (1 of 147). In 2020, Dimmock et al reported results of the primary endpoint of NSIGHT2: clinician perception that rWGS was useful and clinican-reported changes in management.67, Clinicians provided perceptions of the clinical utility of diagnostic genomic sequencing for 201 of 213 infants randomized (94%). In 154 (77%) infants, diagnostic genomic sequencing was perceived to be useful or very useful; perceptions of usefulness did not differ between infants who received rWES and rWGS, nor between urWGS and rWES/rWGS. Thirty-two (15%) of 207 clinician responses indicated that diagnostic genomic sequencing changed infant outcomes (by targeted treatments in 21 [10%] infants, avoidance of complications in 16 [8%], and institution of palliative care in 2 [1%] infants). Changes in outcome did not differ significantly between infants randomized to rWES and rWGS, although urWGS was associated with a signficantly higher rate of change in managment than rWES/rWGS (63% vs. 23%; p=.0001).
Petrikin et al (2018) reported on the Prospective Randomized Trial of the Clinical Utility of Rapid Next Generation Sequencing in Acutely Ill Neonates (NSIGHT1; NCT02225522) RCT of rWGS to diagnose suspected genetic disorders in critically ill infants.53, In brief, NSIGHT1 was an investigator-initiated (funded by the National Human Genome Research Institute and Eunice Kennedy Shriver National Institute of Child Health and Human Development), blinded, and pragmatic trial comparing trio rWGS with standard genetic tests to standard genetic tests alone with a primary outcome of the proportion of NICU/PICU infants receiving a genetic diagnosis within 28 days. Parents of patients and clinicians were unblinded after 10 days and compassionate cross-over to rWGS occurred in 5 control patients. The study was designed to enroll 500 patients in each group but was terminated early due to loss of equipoise on the part of study clinicians who began to regard standard tests alone as inferior to standard tests plus trio rWGS. Intention-to-treat analyses were reported, ie, crossovers were included in the group to which they were randomized. The trial required confirmatory testing of WGS results, which lengthened the time to rWGS diagnosis by 7 to 10 days. Study characteristics are shown in Table 19 and results are shown in Table 20.
In the NICUSeq RCT, Krantz et al (2021) compared rWGS (test results returned in 15 days) to a delayed reporting group (WGS with test results returned in 60 days) in 354 infants admitted to an intensive care unit (ICU) with a suspected genetic disease at 5 sites in the US.68, In 76% of cases, both parents were available for trio testing. Overall, 82 of 354 infants received a diagnosis (23%), with a higher yield in the 15-day group (Table 19). The primary outcome was change in management, measured at day 60. Significantly more infants in the rWGS group had a change in management compared with the delayed arm (21.1% vs 10.3%; p=.009; odds ratio, 2.3; 95% CI, 1.22 to 4.32). Changes in management included subspecialty referral (21 of 354, 6.0%), changes to medication (5 of 354, 1.4%), therapeutics specific to the primary genetic etiology (7 of 354; 2.0%) and surgical interventions (12 of 354; 3.4%). Survival and length of stay did not differ between the groups.
Study; Trial | Countries | Sites | Dates | Participants | Interventions | |
Active | Comparator | |||||
Krantz et al (2021)68, NICUSeq (NCT03290469) | U.S. | 5 | 2017 to 2019 | Infants aged 0 to 120 days who were admitted to an ICU (83% NICU, 7% PICU, 10% CVICU ) with a suspected genetic disease based on objective clinical findings for which genetic testing would be considered. At least 1 biological parent was required for participation. Exclusions: established genetic diagnosis, high clinical suspicion for trisomy 13, 18, 21, or monosomy X, or full explanation of the patient's phenotype by complications of prematurity. | N=176 WGS testing results returned 15 days after enrollment | N=178 WGS testing results 60 days after enrollment |
Kingsmore et al (2019) 66, Dimmock et al (2020)67, NSIGHT2 (NCT03211039) | U.S. | 1 | 2017 to 2018 | Acutely ill infants, primarily from the NICU, PICU, and CVICU; age <4 mos; time from admission or time from development of a feature suggestive of a genetic condition of <96 h; excluding infants in whom there was a very low likelihood that a genetic disease diagnosis would change management. | N=94, rWGS initially performed with proband sequences alone; if diagnosis was not made, analysis was performed again, with parental samples | N=95, rWES initially performed with proband sequences alone; if diagnosis was not made, analysis was performed again, with parental samples |
Petrikin (2018)53,; NSIGHT1 (NCT02225522) | U.S. | 1 | 2014 to 2016 | Infants (<4m) in the NICU/PICU with illnesses of unknown etiology and: 1. genetic test order or genetic consult; 2. major structural congenital anomaly or at least 3 minor anomalies; 3. abnormal laboratory test suggesting genetic disease; or 4. abnormal response to standard therapy for a major underlying condition. Primary system involved: CA/musculoskeletal, 35%; Neurological, 25%; Cardiovascular, 17%; Respiratory, 6% | N=32 rWGS on specimens from both biological parents and affected infants simultaneously | N=33 Standard clinical testing for genetic disease etiologies was performed in infants based on physician clinical judgment, assisted by subspecialist recommendations |
CA: congenital anomalies; CVICU: cardiovascular intensive care unit; ICU: intensive care unit; NICU: neonatal intensive care unit ; NSIGHT1: Prospective Randomized Trial of the Clinical Utility of Rapid Next Generation Sequencing in Acutely Ill Neonates; NSIGHT2; A Randomized, Blinded, Prospective Study of the Clinical Utility of Rapid Genomic Sequencing for Infants in the Acute-care Setting; PICU: pediatric intensive care unit; RCT: randomized controlled trial; rWES: rapid whole exome sequencing; rWGS: rapid whole genome sequencing; WGS: whole genome sequencing.
Study | Diagnostic yield | Time to diagnosis | Age at at discharge/length of stay | Changes in management | Mortality |
Krantz et al (2021)68, NICUSeq NCT03290469 | Diagnosis at day 60 | ||||
WGS results at 15 days | 55/176 31.0% (95% CI, 25.5% to 38.7%) | Data in graph only; "overall time to diagnosis was broadly associated with time to return of WGS testing." | No differences between groups in length of stay | 34/161 21.1% (95% CI, 15.1% to 28.2%) | No differences between groups in survival observed |
WGS results at 60 days | 27/178 15.0% (95% CI, 10.2% to 21.3%) | 17/165 10.3% (95% CI, 6.1% to 16.0%) | |||
Treatment effect (95% CI) | Odds ratio, 2.3 (1.22 to 4.32) | ||||
Kingsmore et al (2019) 66, Dimmock et al (2020)67, NSIGHT2 (NCT03211039) | Genetic diagnosis, timing unspecified (%) | Proportion of results reported within 7 days (%) | Mortality at 28 days (%) | ||
N | 189 | 189 | NR | 189 | |
rWGS | 20% | 11% | 19/90 (21%) | 3% | |
rWES | 19% | 4% | 23/93 (25%) | 0% | |
Treatment effect (95% CI) | p=.88 | p=.10 | p=.60 | p=.25 | |
Petrikin et al (2018)53,; NSIGHT1 | Genetic diagnosis within 28 days of enrollment (%) | Time (days) to diagnosis from enrollment, median | Age (days) at hospital discharge, mean | Change in management related to test results (%) | Mortality at 180 days (%) |
N | 65 | 65 | 65 | 65 | 65 |
rWGS | 31% | 13 | 66.3 | 41%1 | 13% |
Standard testing | 3% | 107 | 68.5 | 24%1 | 12% |
Treatment effect (95% CI) | p=.003 | p=.002 | p=.91 | p=.11 | NR |
CI: confidence interval; NR: not reported; NSIGHT1: Prospective Randomized Trial of the Clinical Utility of Rapid Next Generation Sequencing in Acutely Ill Neonates; NSIGHT2; A Randomized, Blinded, Prospective Study of the Clinical Utility of Rapid Genomic Sequencing for Infants in the Acute-care Setting; RCT: randomized controlled trial; rWES: rapid whole exome sequencing; rWGS: rapid whole genome sequencing; WGS: whole genome sequencing.1 Includes changes related to positive result (diagnosis); does not include impact of negative test results on management.
Tables 21 and 22 display notable limitations identified in each study.
Study | Populationa | Interventionb | Comparatorc | Outcomesd | Follow-Upe |
Krantz et al (2021)68, NICUSeq NCT03290469 | 2. usual care testing varied | Patient and family-reported outcome measures not validated | 1,2. 90 days might not have been long enough to assess outcomes | ||
Kingsmore et al (2019) 66, Dimmock et al (2020)67, NSIGHT2 (NCT03211039) | 2. no non-WGS/WES comparator | 4: Outcomes based on clinician surveys 5: No discussion of clinically significant differences | |||
Petrikin et al (2018)53, NSIGHT1 |
NSIGHT1: Prospective Randomized Trial of the Clinical Utility of Rapid Next Generation Sequencing in Acutely Ill Neonates; NSIGHT2; A Randomized, Blinded, Prospective Study of the Clinical Utility of Rapid Genomic Sequencing for Infants in the Acute-care Setting; WES: whole exome sequencing; WGS: whole genome sequencing.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment. a Population key: 1. Intended use population unclear; 2. Clinical context is unclear; 3. Study population is unclear; 4. Study population not representative of intended use.b Intervention key: 1. Not clearly defined; 2. Version used unclear; 3. Delivery not similar intensity as comparator; 4. Not the intervention of interest.c Comparator key: 1. Not clearly defined; 2. Not standard or optimal; 3. Delivery not similar intensity as intervention; 4. Not delivered effectively.d Outcomes key: 1. Key health outcomes not addressed; 2. Physiologic measures, not validated surrogates; 3. No CONSORT reporting of harms; 4. Not establish and validated measurements; 5. Clinical significant difference not prespecified; 6. Clinical significant difference not supported.e Follow-Up key: 1. Not sufficient duration for benefit; 2. Not sufficient duration for harms.
Study | Allocationa | Blindingb | Selective Reportingd | Data Completenesse | Powerd | Statisticalf |
Krantz et al (2021)68, NICUSeq NCT03290469 | 3: Allocation concealment not described | |||||
Kingsmore et al (2019) 66, Dimmock et al (2020)67, NSIGHT2 (NCT03211039) | 3: Allocation concealment not described | 4 :Only p-values reported; no treatment effects | ||||
Petrikin et al (2018)53, NSIGHT1 | 1: Parents/clinicians unblinded at day 10 but analyses were intention-to-treat so crossovers would bias toward null | 4: Trial stopped early, power for secondary outcomes will be very low | 3, 4: Only p-values reported with no treatment effects or CIs |
CI: confidence interval; NSIGHT1: Prospective Randomized Trial of the Clinical Utility of Rapid Next Generation Sequencing in Acutely Ill Neonates; NSIGHT2; A Randomized, Blinded, Prospective Study of the Clinical Utility of Rapid Genomic Sequencing for Infants in the Acute-care Setting.The study limitations stated in this table are those notable in the current review; this is not a comprehensive gaps assessment. a Allocation key: 1. Participants not randomly allocated; 2. Allocation not concealed; 3. Allocation concealment unclear; 4. Inadequate control for selection bias.b Blinding key: 1. Not blinded to treatment assignment; 2. Not blinded outcome assessment; 3. Outcome assessed by treating physician.c Selective Reporting key: 1. Not registered; 2. Evidence of selective reporting; 3. Evidence of selective publication.d Data Completeness key: 1. High loss to follow-up or missing data; 2. Inadequate handling of missing data; 3. High number of crossovers; 4. Inadequate handling of crossovers; 5. Inappropriate exclusions; 6. Not intent to treat analysis (per protocol for noninferiority trials).e Power key: 1. Power calculations not reported; 2. Power not calculated for primary outcome; 3. Power not based on clinically important difference; 4: Target sample size not achieved.f Statistical key: 1. Analysis is not appropriate for outcome type: (a) continuous; (b) binary; (c) time to event; 2. Analysis is not appropriate for multiple observations per patient; 3. Confidence intervals and/or p values not reported; 4. Comparative treatment effects not calculated.
Nonrandomized studies with over 200 infants are available to estimate performance characteristics of rWES in the NICU setting. Studies on rWGS report changes in management that would improve health outcomes. The effect of WGS results on health outcomes are the same as those with WES, including avoidance of invasive procedures, medication changes to reduce morbidity, discontinuation of or additional testing, and initiation of palliative care or reproductive planning. A chain of evidence linking meaningful improvements in diagnostic yield and changes in management expected to improve health outcomes supports the clinical value of WES and WGS for critically ill infants.
Section Summary: Rapid Whole Exome or Genome Sequencing in Critically Ill Infants or Children
For critically ill infants, disease may progress rapidly and genetic diagnoses must be made quickly. Several retrospective and prospective observational studies with sample sizes ranging from about 20 to more than 275 (in total including more than 450 critically ill infants or children) reported on diagnostic yield for rWGS or rWES. These studies included phenotypically diverse, but critically ill, infants and had yields between 30% and 60% and reports of changes in management such as avoidance of invasive procedures, medication changes, discontinuation of or additional testing, and initiation of palliative care.
Three RCTs have evaluated rWGS in critcially ill infants or children. An RCT comparing trio rWGS with standard genetic tests to diagnose suspected genetic disorders in critically ill infants funded by the National Institutes of Health was terminated early due to loss of equipoise on the part of study clinicians who began to regard standard tests alone as inferior to standard tests plus trio rWGS. The rate of genetic diagnosis within 28 days of enrollment was higher for rWGS versus standard tests (31% vs. 3%; p=.003) and the time to diagnosis was shorter (13 days vs. 107 days; p=.002). The age at hospital discharge and mortality rates were similar in the 2 groups. However, many of the conditions are untreatable and diagnosis of an untreatable condition may lead to earlier transition to palliative care, but may not prolong survival. A second RCT compared rWGS to rWES in seriously ill infants with diseases of unknown etiology from the NICU, PICU, and CVICU. The diagnostic yield of rWGS and rWES was similar (19% vs. 20%, respectively), as was time to result (median, 11 vs. 11 days). The NICUSeq RCT compared rWGS (test results returned in 15 days) to a delayed reporting group (WGS with test results returned in 60 days) in 354 infants admitted to an ICU with a suspected genetic disease. Diagnostic yield was higher in the rWGS group (31.0%; 95% CI, 25.5% to 38.7% vs. 15.0%; 95% CI, 10.2% to 21.3%). Additionally, significantly more infants in the rWGS group had a change in management compared with the delayed arm (21.1% vs. 10.3%; p=.009; odds ratio, 2.3; 95% CI, 1.22 to 4.32).
For individuals who are critically ill infants with a suspected genetic disorder of unknown etiology following a standard workup who receive rapid WGS (rWGS) or rapid WES (rWES) with trio testing when possible, the evidence includes randomized controlled trials (RCTs) and case series. Relevant outcomes are test validity, functional outcomes, changes in reproductive decision making, and resource utilization. One RCT comparing rWGS with standard genetic tests to diagnose suspected genetic disorders in critically ill infants was terminated early due to loss of equipoise. The rate of genetic diagnosis within 28 days of enrollment was higher for rWGS versus standard tests (31% vs. 3%; p=.003). Changes in management due to test results were reported in 41% (p=.11) of rWGS versus 21% of control patients; however, 73% of control subjects received broad genetic tests (eg, next-generation sequencing panel testing, WES, or WGS) as part of standard testing. A second RCT compared rWGS to rWES in seriously ill infants with diseases of unknown etiology from the neonatal intensive care unit, pediatric intensive care unit, and cardiovascular intensive care unit. The diagnostic yield of rWGS and rWES was similar (19% vs. 20%, respectively), as was time to result (median, 11 vs. 11 days). The NICUSeq RCT compared rWGS (test results returned in 15 days) to a delayed reporting group (WGS with test results returned in 60 days) in 354 infants admitted to an intensive care unit with a suspected genetic disease. Diagnostic yield was higher in the rWGS group (31.0%; 95% CI, 25.5% to 38.7% vs. 15.0%; 95% CI, 10.2% to 21.3%). Additionally, significantly more infants in the rWGS group had a change in management compared with the delayed arm (21.1% vs. 10.3%; p=.009; odds ratio, 2.3; 95% CI, 1.22 to 4.32). Several retrospective and prospective studies including more than 800 critically ill infants and children in total have reported on diagnostic yield for rWGS or rWES. These studies included phenotypically diverse but critically ill infants and had yields of between 30% and 60% for pathogenic or likely pathogenic variants. Studies have also reported associated changes in patient management for patients receiving a diagnosis from rWGS or rWES, including avoidance of invasive procedures, medication changes to reduce morbidity, discontinuation of or additional testing, and initiation of palliative care or reproductive planning. A chain of evidence linking meaningful improvements in diagnostic yield and changes in management expected to improve health outcomes supports the clinical value of rWGS or rWES. The evidence is sufficient to determine that the technology results in an improvement in the net health outcome.
[X] MedicallyNecessary | [ ] Investigational |
The purpose of the following information is to provide reference material. Inclusion does not imply endorsement or alignment with the evidence review conclusions.
The purpose of the following information is to provide reference material. Inclusion does not imply endorsement or alignment with the evidence review conclusions.
Guidelines or position statements will be considered for inclusion in ‘Supplemental Information’ if they were issued by, or jointly by, a US professional society, an international society with US representation, or National Institute for Health and Care Excellence (NICE). Priority will be given to guidelines that are informed by a systematic review, include strength of evidence ratings, and include a description of management of conflict of interest.
In 2014, the American Academy of Neurology and American Association of Neuromuscular and Electrodiagnostic Medicine issued evidence-based guidelines on the diagnosis and treatment of limb-girdle and distal dystrophies, which made the following recommendations (Table 23).69,
Recommendation | LOE |
Diagnosis | |
| B |
| C |
Management of cardiac complications | |
| B |
| B |
| B |
| B |
Management of pulmonary complications | |
| B |
| B |
| C |
| B |
LOE: level of evidence; LGMD: limb-girdle muscular dystrophy.
In 2021, the American College of Medical Genetics and Genomics (ACMG) published a clinical practice guideline for the use of whole exome sequencing (WES) and whole genome sequencing (WGS) and made the following recommendation: "We strongly recommend ES [exome sequencing] and GS [genome sequencing] as a first-tier or second-tier test (guided by clinical judgment and often clinician-patient/family shared decision making after CMA [chromosomal microarray] or focused testing) for patients with one or more CAs [congenital anomalies] pior to one year of age or for patients with DD/ID [developmental delay/intellectual disability] with onset prior to 18 years of age."54, The recommendation was informed by a systematic evidence review and a health technology assessment conducted by Ontario Health.
Not applicable.
There is no national coverage determination. In the absence of a national coverage determination, coverage decisions are left to the discretion of local Medicare carriers.
Some currently ongoing and unpublished trials that might influence this review are listed in Table 24.
NCT No. | Trial Name | Planned Enrollment | Completion Date |
Ongoing | |||
NCT02699190 | LeukoSEQ: Whole Genome Sequencing as a First-Line Diagnostic Tool for Leukodystrophies | 450 | Jul 2024 |
NCT04154891 | Genome Sequencing Strategies for Genetics Diagnosis of Patients With Intellectual Disability (DEFIDIAG) | 3825 | May 2024 |
NCT03632239 | The Genomic Ascertainment Cohort (TGAC) | 1000 | Dec 2028 |
NCT03385876 | Rapid Whole Genome Sequencing (rWGS): Rapid Genomic Sequencing for Acutely Ill Patients and the Collection, Storage, Analysis, and Distribution of Biological Samples, Genomic and Clinical Data | 100,000 | Dec 2050 |
NCT04760522 | Genome-based Management of Patients in Precision Medicine (Ge-Med) Towards a Genomic Health Program | 12,000 | Jul 2027 |
NCT04315727 | Identification of the Genetic Causes of Rare Diseases With Negative Exome Findings | 100 | Dec 2024 |
NCT04586075 | UW Undiagnosed Genetic Diseases Program | 500 | Oct 2025 |
NCT03954652 | Whole Genome Trio Sequencing as a Standard Routine Test in Patients With Rare Diseases - "GENOME FIRST APPROACH" | 1350 | Oct 2022 |
NCT03548779 | North Carolina Genomic Evaluation by Next-generation Exome Sequencing, 2 | 806 | May 2023 |
NCT: national clinical trial.
Codes | Number | Description |
---|---|---|
81415 | Exome (eg, unexplained constitutional or heritable disorder or syndrome); sequence analysis | |
81416 | Exome (eg, unexplained constitutional or heritable disorder or syndrome); sequence analysis, each comparator exome (eg, parents, siblings) (List separately in addition to code for primary procedure) | |
81417 | Exome (eg, unexplained constitutional or heritable disorder or syndrome); re-evaluation of previously obtained exome sequence (eg, updated knowledge or unrelated condition/syndrome) | |
81425 | Genome (eg, unexplained constitutional or heritable disorder or syndrome); sequence analysis | |
81426 | Genome (eg, unexplained constitutional or heritable disorder or syndrome); sequence analysis, each comparator genome (eg, parents, siblings) (List separately in addition to code for primary procedure) | |
81427 | Genome (eg, unexplained constitutional or heritable disorder or syndrome); re-evaluation of previously obtained genome sequence (eg, updated knowledge or unrelated condition/syndrome) | |
0036U | Exome (ie, somatic mutations), paired formalin-fixed paraffin-embedded tumor tissue and normal specimen, sequence analyses | |
0094U | Genome (eg, unexplained constitutional or heritable disorder or syndrome), rapid sequence analysis | |
0212U | Rare diseases (constitutional/heritable disorders), whole genome and mitochondrial DNA sequence analysis, including small sequence changes, deletions, duplications, short tandem repeat gene expansions, and variants in non-uniquely mappable regions, blood or saliva, identification and categorization of genetic variants, proband (Do not report 0212U in conjunction with 81425 -Genomic Unity® Whole Genome Analysis – Proband by Variantyx Inc | |
0213U | Rare diseases (constitutional/heritable disorders), whole genome and mitochondrial DNA sequence analysis, including small sequence changes, deletions, duplications, short tandem repeat gene expansions, and variants in non-uniquely mappable regions, blood or saliva, identification and categorization of genetic variants, each comparator genome (eg, parent, sibling) (Do not report 0213U in conjunction with 81426) Genomic Unity® Whole Genome Analysis – Comparator by Variantyx Inc. | |
0214U | Rare diseases (constitutional/heritable disorders), whole exome and mitochondrial DNA sequence analysis, including small sequence changes, deletions, duplications, short tandem repeat gene expansions, and variants in non-uniquely mappable regions, blood or saliva, identification and categorization of genetic variants, proband (Do not report 0214U in conjunction with 81415, Genomic Unity® Exome Plus Analysis – Proband by Variantyx Inc | |
0215U | Rare diseases (constitutional/heritable disorders), whole exome and mitochondrial DNA sequence analysis, including small sequence changes, deletions, duplications, short tandem repeat gene expansions, and variants in non-uniquely mappable regions, blood or saliva, identification and categorization of genetic variants, each comparator exome (eg, parent, sibling) (Do not report 0215U in conjunction with 81416), Genomic Unity® Exome Plus Analysis – Comparator by Variantyx Inc | |
0265U | Rare constitutional and other heritable disorders, whole genome and mitochondrial DNA sequence analysis, blood, frozen and formalin-fixed paraffin-embedded (FFPE) tissue, saliva, buccal swabs or cell lines, identification of single nucleotide and copy number variants | |
0297U | Oncology (pan tumor), whole genome sequencing of paired malignant and normal DNA specimens, fresh or formalin fixed paraffin-embedded (FFPE) tissue, blood or bone marrow, comparative sequence analyses and variant identification | |
0425U | Genome (eg, unexplained constitutional or heritable disorder or syndrome), rapid sequence analysis, each comparator genome (eg, parents, siblings) (eff 01/01/2024) | |
0426U | Genome (eg, unexplained constitutional or heritable disorder or syndrome), ultra-rapid sequence analysis (eff 01/01/2024) | |
ICD-10-CM | F70.-F79 | Intellectual disabilities code range |
F80.0-F89 | Pervasive and specific developmental disorders code range | |
Q00.0-Q99.9 | Congenital malformations, deformations, and chromosomal abnormalities code range (Q89.7 is the specific code for multiple congenital malformations, not elsewhere classified) | |
ICD-10-PCS | Not applicable. ICD-10-PCS codes are only used for inpatient services. There are no ICD procedure codes for laboratory tests. | |
Type of service | Laboratory | |
Place of service | Outpatient |
Date | Action | Description |
04/18/2024 | Annual Review | Policy updated with literature search through February 20, 2024; no references added. Policy statements unchanged. Codes updated. |
04/19/2023 | Annual Review | Policy updated with literature search through February 12, 2023; references added. New indication and investigational policy statement added for repeat WES, including reanalysis of data from a previous test. Other minor editorial refinements to policy statements; intent unchanged. |
04/29/2022 | Annual Review | added 0297U eff 1/1/2022. Policy updated with literature search through January 21, 2022; references added. Policy statements unchanged. |
04/19/2021 | Annual Review | No changes |
04/17/2020 | Annual Review | No changes |
01/18/2019 | Annual Review | No changes |
12/03/2018 | Annual Review | |
13/07/2016 | New policy | |