Diagnostic Yield Of Whole Exome Sequencing Research Articles

Prediction of genetic cardiomyopathy by whole exome sequencing and myocardial strain in patients with concentric left ventricle hypertrophy

Abstract Introduction Genetic cardiomyopathies (CMP) are a group of inherited diseases that can lead to heart failure and sudden cardiac death. Left ventricular hypertrophy (LVH) is common findings in these diseases, but the diagnosis can be challenging due to their heterogeneous clinical presentations. Myocardial strain and whole exome sequencing (WES) are a powerful tool for early detection of genetic CMP. Purpose We aim to investigate the utility of the combination of myocardial strain and WES in the diagnosis of genetic CMP in patients with LVH. Methods We performed WES with buccal swab test on a total of 65 patients who had concentric LVH and decreased global average strain (GAS) by echocardiography between July 2021 and December 2022. The genetic data was analyzed to identify disease-causing genetic variants, and the clinical data and echocardiographic findings were collected and analyzed. Logistic regression analysis was performed to identify the predictive factors of genetic cardiomyopathy, and receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic accuracy of these factors. Results Of the 65 patients, we identified 10 patients with genetic cardiomyopathy by WES, including hypertrophic CMP, cardiac amyloidosis, and Fabry disease. The diagnostic yield of WES was 15.4% for genetic CMP. Logistic regression analysis showed that sex, diastolic blood pressure, interventricular septal thickness at end diastole (IVSd) and end systole (IVSs), posterior wall thickness at end diastole (PWd), and GAS were significant predictors of genetic CMP (p<0.05 for all). ROC curve analysis showed that IVSs had the highest area under the curve (AUC) value of 0.711 (p=0.037), with a sensitivity of 60.0% and a specificity of 67.3%. Conclusion Our study highlights the utility of WES and myocardial strain with echocardiographic data in diagnosing genetic CMP, especially in patients with concentric LVH. These findings support the integration of genetic testing and advanced imaging techniques in the diagnostic approach for patients with suspected genetic cardiomyopathies.

Impact of variation in practice in the prenatal reporting of variants of uncertain significance by commercial laboratories: Need for greater adherence to published guidelines.

To evaluate the impact of implementing commercial whole exome sequencing (WES) and targeted gene panel testing in pregnancies with fetal anomalies. A retrospective chart review of 124 patients with sequencing performed by commercial laboratories. The diagnostic yield of WES and panel testing was 21.5% and 26%, respectively, based on likely pathogenic (LP) or pathogenic (P) variants. Forty-two percent of exomes and 32% of panels analysed had one or more variants of uncertain significance (VUS) reported. A multidisciplinary in-depth review of the fetal phenotype, disease phenotype, variant data, and, in some patients, additional prenatal or postnatal investigations increased the diagnostic yield by 5% for exome analysis and 6% for panel analysis. The diagnostic yield of WES and panel testing combined was 23% based on LP and P variants. Although the reporting of VUS contributed to a 5% increase in diagnostic yield for WES and 6% for panels, the large number of VUS reported by commercial laboratories has significant resource implications. Our results support the need for greater adherence to the recommendations on the prenatal reporting of VUS and the importance of a multidisciplinary approach that brings together clinical and laboratory expertise in prenatal genetics and genomics.

Diagnostic performance of automated, streamlined, daily updated exome analysis in patients with neurodevelopmental delay

BackgroundThe diagnostic yield of whole-exome sequencing (WES) varies from 30%–50% among patients with mild to severe neurodevelopmental delay (NDD)/intellectual disability (ID). Routine retrospective reanalysis of undiagnosed patients has increased the total diagnostic yield by 10–15%. Here, we performed proband-only WES of 1065 patients with NDD/ID and applied a prospective, daily reanalysis automated pipeline to patients without clinically significant variants to facilitate diagnoses.MethodsThe study included 1065 consecutive patients from 1056 nonconsanguineous unrelated families from 10 multimedical centers in South Korea between April 2018 and August 2021. WES data were analyzed daily using automatically updated databases with variant classification and symptom similarity scoring systems.ResultsAt the initial analysis, 402 patients from 1056 unrelated families (38.0%, 402/1,056 families) had a positive genetic diagnosis. Daily prospective, automated reanalysis resulted in the identification of 34 additional diagnostic variants in 31 patients (3%), which increased our molecular diagnostic yield to 41% (433/1056 families). Among these 31 patients, 26 were diagnosed with 23 different diseases that were newly discovered after 2019. The time interval between the first analysis and the molecular diagnosis by reanalysis was 1.2 ± 0.9 years, which was shorter in the patients enrolled during the latter part of the study period.ConclusionDaily updated databases and reanalysis systems enhance the diagnostic performance in patients with NDD/ID, contributing to the rapid diagnosis of undiagnosed patients by applying the latest molecular genetic information.

Whole-exome sequencing and variant spectrum in children with suspected inherited renal tubular disorder: the East India Tubulopathy Gene Study

Inherited tubulopathies are a heterogeneous group of genetic disorders making whole-exome sequencing (WES) the preferred diagnostic methodology. This was a multicenter descriptive study wherein children (< 18 years) with clinically suspected tubular disorders were recruited for molecular testing through WES. Multiplex ligation-dependent probe amplification (MLPA) and Sanger sequencing were done when required. Variants were classified as per American College of Medical Genetics 2015 guidelines and pathogenic (P)/likely pathogenic (LP) variants were considered causative. There were 77 index cases (male =73%). Median age at diagnosis was 48 months (IQR 18.5 to 108 months). At recruitment, the number of children in each clinical group was as follows: distal renal tubular acidosis (dRTA) = 25; Bartter syndrome = 18; isolated hypophosphatemic rickets (HP) = 6; proximal tubular dysfunction (pTD) = 12; nephrogenic diabetes insipidus (NDI) = 6; kidney stone/nephrocalcinosis (NC) = 6; others = 4. We detected 55 (24 novel) P/LP variants, providing genetic diagnoses in 54 children (70%). The diagnostic yield of WES was highest for NDI (100%), followed by HP (83%; all X-linked HP), Bartter syndrome (78%), pTD (75%), dRTA (64%), and NC (33%). Molecular testing had a definite impact on clinical management in 24 (31%) children. This included revising clinical diagnosis among 14 children (26% of those with a confirmed genetic diagnosis and 18% of the overall cohort), detection of previously unrecognized co-morbidities among 8 children (sensorineural deafness n = 5, hemolytic anemia n = 2, and dental changes n = 1) and facilitating specific medical treatment for 7 children (primary hyperoxaluria n = 1, cystinosis n = 4, tyrosinemia n = 2). WES is a powerful tool in the diagnosis and management of children with inherited tubulopathies in the Indian population. A higher resolution version of the Graphical abstract is available as Supplementary information.

Factors Affecting the Genetic Diagnostic Rate in Congenital Heart Disease

Background: Over 400 genes contribute to the development of congenital heart disease (CHD). Additionally, multisystemic manifestations accompanying syndromic CHD pose a higher risk of genetic diseases. This study investigated the diagnostic yield of whole-exome sequencing (WES) in patients with sporadic syndromic CHD and the phenotypic factors affecting the genetic diagnostic rate. Methods: Sixty-four patients with sporadic syndromic CHD aged 0.05), between the groups with and without a diagnostic variant. However, patients with ≥3 extracardiac phenotypes had a significantly higher likelihood of having a diagnostic variant than those with ≤2 (38.3% vs. 5.9%, odds ratio = 9.93, 95% confidence interval = 1.21–81.44, P = 0.013). Conclusions: The number of extracardiac phenotypes is important in predicting the possibility of genetic diagnosis. Physicians will be able to select patients with a high probability of genetic diagnosis and provide appropriate genetic counseling based on the results of this study.

Phenotypic heterogeneity and genotypic spectrum of inborn errors of immunity identified through whole exome sequencing in a Thai patient cohort.

Inborn errors of immunity (IEI) comprise more than 400 rare diseases with potential life-threatening conditions. Clinical manifestations and genetic defects are heterogeneous and diverse among populations. Here, we aimed to characterize the clinical, immunologic, and genetic features of Thai pediatric patients with IEI. The use of whole-exome sequencing (WES) in diagnosis and clinical decision making was also assessed. Thirty six unrelated patients with clinical and laboratory findings consistent with IEI were recruited from January 2010 to December 2020. WES was performed to identify the underlying genetic defects. The median age of disease onset was 4months (range: 1month to 13years), and 24 were male (66.7%). Recurrent sinopulmonary tract infection was the most common clinical presentation followed by septicemia and severe pneumonia. Using WES, we successfully identified the underlying genetic defects in 18 patients (50%). Of the 20 variants identified, six have not been previously described (30%). According to the International Union of Immunological Societies (IUIS), 38.9% of these detected cases (7/18) were found to harbor variants associated with genes in combined immunodeficiencies with associated or syndromic features (Class II). The diagnostic yield of WES in this patient cohort was 50%. Six novel genetic variants in IEI genes were identified. The clinical usefulness of WES in IEI was demonstrated, emphasizing it as an effective diagnostic strategy in these genetically heterogeneous disorders.

Chromosomal microarray and exome sequencing in unexplained early infantile epileptic encephalopathies in a highly consanguineous population

Aim To identify genetic causes for early infantile epileptic encephalopathies (EIEE) in Turkish children with mostly consanguineous parents. Methods In a selected EIEE group (N = 59) based on results of nongenetic and initial genetic testing with unexplained etiology, 49 patients underwent array-based comparative genomic hybridization (aCGH) and 49 patients underwent whole exome sequencing (WES) including 39 with negative aCGH results and 10 with WES-only. Results Diagnostic yield of aCGH and WES for pathogenic or likely pathogenic variants was 14.3% and 38.8%, respectively. Including de novo variants of uncertain significance linked to compatible phenotypes, increased the diagnostic yield of WES to 61.2%. Out of 38 positive variants, 18 (47.4%) were novel and 16 (42.1%) were de novo. Twenty-one (56.8%) patients had recessive variants inherited from mostly consanguineous healthy parents (85.7%). Fourteen (37.8%) of patients with diagnostic results had positive variants in established EIEE genes. Seizures started during neonatal period in 32.4% patients. Posture or movement disorders were comorbid with EIEE in 40.5% of diagnosed patients. We identified treatable metabolic disorders in 8.1% of patients and pathogenic variants in genes which support using targeted medicine in 19% of patients. Conclusions Detailed electro-clinical phenotyping led to expansion of some of the known phenotypes with non-neurological and neurological findings in addition to seizures, as well as suggestion of candidate genes (SEC24B, SLC16A2 and PRICKLE2) and a copy number variant (microduplication of Xp21.1p11.4). The high ratio of recessive inheritance could be important for family counseling.

Whole-Exome Sequencing in Critically Ill Neonates and Infants: Diagnostic Yield and Predictability of Monogenic Diagnosis

Introduction: Monogenic diseases play an important role in critically ill neonates and infants treated in the intensive care unit. This study aimed to determine the diagnostic yield of whole-exome sequencing (WES) for monogenic diseases and identify phenotypes more likely associated with a genetic etiology. Methods: From March 2017 to 2020, a comprehensive diagnostic workup including WES in a single academic center was performed in 61 unrelated, critically ill neonates and infants with an unknown underlying disease within the first year of life. We conducted 59 trio-WES, 1 duo-WES, and 1 single-WES analyses. Symptoms were classified according to the Human Phenotype Ontology. Results: The overall molecular genetic diagnostic rate within our cohort was 46% (28/61) and 50% (15/30) in the subgroup of preterm neonates. Identifying the genetic cause of disease facilitates individualized management in the majority of patients. A positive or negative predictive power of specific clinical features for a genetic diagnosis could not be observed. Conclusion: WES is a powerful noninvasive diagnostic tool in critically ill neonates and infants with a high diagnostic rate. We recommend initiating WES as early as possible due to the impact on management and family counseling. Recommendations regarding the clinical utility of WES in critically ill neonates and infants should not be based on the phenotype alone. Here, we present a clinical workflow for the application of WES for critically ill neonates and infants in an interdisciplinary setting.

Molecular Investigation of Iranian Patients Suspected to Hereditary Spherocytosis

Introduction: Hereditary spherocytosis is a heterogeneous disorder with mild to moderate anemia. The aim of this study was to evaluate the inherited spherocytosis gene mutations in patients with RBC cytoplasmic disorders in Iranian population. Materials and Methods: In this study, Whole Exome Sequencing (WES) was performed for patients suspected to hereditary spherocytosis and their relatives. Results: Sequence analysis of the probands and their parents identified variations in ANK1 gene (NM_001142446.1:c.127-2A&gt;G), SPTB (c. 14delC, p.Thr5LysfsTer41), SPTA1 (c.466C&gt;T), SLC4A1 (c.2494C&gt;T) and SLC25A38 gene (c.683G&gt;T, NP_060345.2:p.Gly228Val that could be related to the patients clinical manifestation. Conclusion: Findings are in line with the appropriate diagnostic yield of WES in determining the causative variant especially in those disorders that many genes are involved like anemia. This is the first report of a cohort of Iranian patients with anemia suspected to that were investigated using WES technology. Further studies are needed to investigate the distribution of gene mutations in patients with RBC membrane disorders in Iran

Applying whole exome sequencing in a consanguineous population with autism spectrum disorder

This study aimed to systematically assess the impact of clinical and demographic variables on the diagnostic yield of Whole Exome Sequencing (WES) when applied to children with Autism Spectrum Disorder (ASD) from a consanguineous population. Ninety-seven children were included in the analysis, 63% were male and 37% were females. 77.3% had a suspected syndromic aetiology of which 68% had co-existent central nervous system (CNS) clinical features, while 69% had other systems involved. The diagnostic yield of WES in our cohort with ASD was 34%. Children with seizures were more likely to have positive WES results (46% vs. 31%, p = 0.042). Probands with suspected syndromic ASD aetiology showed no significant differential impact on the diagnostic yield of WES.

Diagnostic Yield of Whole Exome Sequencing for Adults with Ataxia: a Brazilian Perspective.

Previous studies using whole exome sequencing (WES) have shown that a significant proportion of adult patients with undiagnosed ataxia in European and North American cohorts have a known genetic cause. Little is known about the diagnostic yield of WES in non-Caucasian ataxic populations. Herein, we used WES to investigate a Brazilian cohort of 76 adult patients with idiopathic ataxia previously screened for trinucleotide expansions in known ataxia genes. We collected clinical and radiological data from each patient. WES was performed following standard procedures. Only variants labeled as pathogenic or likely pathogenic according to American college of medical genetics and genomics (ACMG) criteria were retrieved. We determined the diagnostic yield of WES for the whole cohort and also for subgroups defined according to presence or not of pyramidal signs, peripheral neuropathy, and cerebellar atrophy. There were 41 women and 35 men. Mean age at testing was 48years. Pyramidal signs, peripheral neuropathy, tremor, and cerebellar atrophy were found in 38.1%, 13.1%, 10.5%, and 68.3% of all subjects, respectively. Diagnostic yield of WES was 35.5%. Thirty-six distinct mutations were found in 20 different genes, determining the diagnosis of 18 autosomal recessive and 9 autosomal dominant ataxias. SACS and SPG7 were the most frequently found underlying genes. WES performed better in the subgroup with vs the subgroup without spasticity (p = 0.005). WES was diagnostic in 35.5% of cases of the Brazilian cohort of ataxia cases. These results have implications for diagnosis, genetic counseling and eventually treatment.

Role of whole exome sequencing for unidentified genetic syndromes.

The current review seeks to provide a comprehensive update on the revolutionary technology of whole exome sequencing (WES) which has been used to interrogate abnormal foetal phenotypes since the last few years, and is changing the paradigms of prenatal diagnosis, facilitating accurate genetic diagnosis and optimal management of pregnancies affected with foetal abnormalities, as well enabling delineation of novel Mendelian disorders. WES has contributed to identification of more than 1000 Mendelian genes and made rapid strides into clinical diagnostics in recent years. Diagnostic yield of WES in postnatal cohorts has ranged from 25 to 50%, and this test is now a first tier investigation for various clinical presentations. Various abnormal perinatal phenotypes have also been investigated using WES since 2014, with diagnostic yields ranging from 8.5 to 80%. Studies in foetal phenotypes have been challenging and guidelines in this cohort are still evolving. WES has proven to be a disrupting technology, enabling genetic diagnosis for pregnancies complicated by previously unexplained foetal abnormalities, and revealing a significant contribution of single gene disorders in these, thereby changing clinical diagnostic paradigms. The application of this technology in perinatal cohorts is also providing interesting insights into single gene defects presenting as previously unknown genetic syndromes, hence contributing to expansion of Mendelian genetics to encompass various foetal phenotypes.

P4649Whole exome sequencing and whole genome sequencing improves genetic diagnosis of fetals with heterotaxy syndrome revealed by prenatal ultrasound

Abstract Background Heterotaxy (Htx) syndrome is an congenital disorders resulting from incorrectly establishment of left-right patterning during embryogenesis. Over 96% of patients with Htx exhibit some form of congenital heart disease (CHD),and has relatively poor survival. Multiple lines of evidence support genetic contributions to the etiology of Htx. As a specific genetic etiology is currently identifiable in only a minority of patients, there remains enormous potential for novel gene and pathway discovery. Purpose The aim of this study was to investigate the diagnostic yield of whole-exome sequencing (WES) and whole-genome sequencing (WGS) in fetuses with the pathogenesis of Htx, to explore candidate genes for Htx and to expand the clinical phenotype of known genetic conditions. Method WES and WGS were performed on specimens from 46 fetuses diagnosed with Htx and their parents. The single-nucleotide variants (SNVs) and copy-number variants (CNVs) were filtered and annotated by standard analysis process. All reported variants were classified according to he American College of Medical Genetics and Genomics guidelines. Results In the 46 fetuses, the detection rates of pathogenic and likely pathogenic variations were21.7% (10/46) and 10.9% (5/46) respectively. Ten pathogenic variations were identified on genes of CCDC114, DNAH11, ARMC4, STRA6, PQBP1 (hemizygote), HYDIN, RAI1 (Alagille Syndrome), ZFMP2 and Del(22q11.2) Syndrome. Five likely pathogenic variation were on DNAAF1 (Holshner syndrome), NF1, NEXN, NOTCH3 and FOXC1. Of 30 fetuses with prenatally diagnosed right atrial isomerism (RAI), the main intracardiac anomalies were atrioventricular canal (AV canal), isomerism of right atrial appendages, pulmonary stenosis or atresia (PS &amp; PA) and right aortic arch. In 16 fetuses diagnosed left atrial isomerism (LAI) the main intracardiac anomalies were isomerism of left atrial appendages, interrupted IVC and azygos vein continuation. Of the 10 positive cases, 8 fetus were diagnosed of RAI and 2 were diagnosed of LAI by prenatal ultrasonic examination or fetal autopsy. The detection rate was 8/30 (26.7%) for RAI and 2/16 (12.5%) for LAI. Conclusion This study outlines the way for a substantial improvement in the diagnostic yield of prenatal genetic disorders in Htx through WES and WGS. Our experience also expanded the knowledge of the clinical phenotype of known genetic conditions. Our results indicate that the proportion of SNV in Htx of prenatal cases was significantly higher than that in patients with other congenital heart abnormalities, and the recessive inheritance occurred in a higher proportion in Htx. Our results have important implications for clinical management and genetic counseling of Htx. Acknowledgement/Funding Ministry of Science and Technology of the People's Republic of China

Clinical Application of Targeted Next-Generation Sequencing Panels and Whole Exome Sequencing in Childhood Epilepsy

Genetic diagnosis of childhood epilepsy is crucial to provide disease-specific treatments. This report describes the genetic landscape of childhood epilepsy revealed by targeted next-generation sequencing panels for epilepsy (TNGSP-E) and whole exome sequencing (WES). In this retrospective cohort study, TNGSP-E and/or WES were applied to identify underlying genetic diagnoses in children seen in a single Pediatric Epilepsy Genetics Clinic. We reviewed electronic patient charts for phenotypes and biochemical, genetic, and neuroimaging investigations. Forty-four different genetic diagnoses were confirmed in 71 of 197 patients (36%; 95% CI 29.3%–43.2%). The diagnostic yield of WES (37%) was 1.9-fold greater than the diagnostic yield of TNGSP-E (19.0%; P=.0018). The number of genes included in TNGSP-E was not correlated with whether or not the test resulted in a diagnosis (Pearson's R=-0.02, P=.8). Inherited metabolic disorders accounted for 13% of the genetic diagnoses, despite abnormal metabolic investigations being an exclusion criteria. There was a direct treatment implication in 6% of patients with inherited metabolic disorders including pyridoxine dependent epilepsy, glucose transporter 1 deficiency and neuronal ceroid lipofuscinosis type 2. Additionally, there might be some treatment implications in 30% of patients with genetic diagnoses including SCN1A, SCN2A, SCN8A, and KCNQ2 associated epilepsies by application of effective anti-epileptic drugs or the ketogenic diet therapy. The high diagnostic yield of clinical molecular genetic investigations and their disease-specific treatment implications highlight the importance of genetic diagnosis in childhood epilepsy. We recommend a stepwise diagnostic algorithm including metabolic investigations for treatable disorders, chromosomal microarray analysis, TNGSP-E, and WES.

The Road to Diagnosis: Shortening the Diagnostic Odyssey in Epilepsy.

Diagnostic Exome Sequencing in 100 Consecutive Patients With Both Epilepsy and Intellectual Disability Snoeijen-Schouwenaars FM, van Ool JS, Verhoeven JS, et al. Epilepsia. 2019;60(1):155-164. doi:10.1111/epi.14618. Epub December 7, 2018. PMID: 30525188.Objective:Epilepsy is highly prevalent among patients with intellectual disability (ID), and seizure control is often difficult. Identification of the underlying etiology in this patient group is important for daily clinical care. We assessed the diagnostic yield of whole-exome sequencing (WES). In addition, we evaluated which clinical characteristics influence the likelihood of identifying a genetic cause and we assessed the potential impact of the genetic diagnosis on (antiepileptic) treatment strategy.Methods:One hundred patients with both unexplained epilepsy and (borderline) ID (intelligence quotient ≤85) were included. All patients were evaluated by a clinical geneticist, a (pediatric) neurologist, and/or a specialist ID physician. Whole-exome sequencing analysis was performed in 2 steps. In step 1, analysis was restricted to the latest versions of ID and/or epilepsy gene panels. In step 2, exome analysis was extended to all genes (so-called full exome analysis). The results were classified according to the American College of Medical Genetics and Genomics guidelines. Results: In 58 patients, the diagnostic WES analysis reported one or more variant(s). In 25 of the 100 patients, these were classified as (likely) pathogenic, in 24 patients as variants of uncertain significance, and in the remaining patients the variant was most likely not related to the phenotype. In 10 (40%) of 25 patients with a (likely) pathogenic variant, the genetic diagnosis might have an impact on the treatment strategy in the future.Significance:This study illustrates the clinical diagnostic relevance of WES for patients with both epilepsy and ID. It also demonstrates that implementing WES diagnostics might have impact on the (antiepileptic) treatment strategy in this population. Confirmation of variants of uncertain significance in (candidate) genes may further increase the yield. Diagnostic Yield of Genetic Tests in Epilepsy: A Meta-Analysis and Cost-Effectiveness Study Sánchez Fernández I, Loddenkemper T, Gaínza-Lein M, Sheidley BR, Poduri A. Neurology. 2019. Epub ahead of print. pii: 10.1212/WNL.0000000000006850. doi:10.1212/WNL.0000000000006850. PMID: 30610098 Objective:To compare the cost-effectiveness of genetic testing strategies in patients with epilepsy of unknown etiology.Methods:This meta-analysis and cost-effectiveness study compared strategies involving 3 genetic tests: chromosomal microarray (CMA), epilepsy panel (EP) with deletion/duplication testing, and whole-exome sequencing (WES) in a cost-effectiveness model, using “no genetic testing”“ as a point of comparison.Results:Twenty studies provided information on the diagnostic yield of CMA (8 studies), EP (9 studies), and WES (6 studies). The diagnostic yield was highest for WES: 0.45 (95% confidence interval [CI]: 0.33-0.57; 0.32 [95% CI: 0.22-0.44] adjusting for potential publication bias), followed by EP: 0.23 (95% CI: 0.18-0.29) and CMA: 0.08 (95% CI: 0.06-0.12). The most cost-effective test was WES with an incremental cost-effectiveness ratio (ICER) of US$15 000/diagnosis. However, after adjusting for potential publication bias, the most cost-effective test was EP (ICER: US$15 848/diagnosis) followed by WES (ICER: US$34 500/diagnosis). Among combination strategies, the most cost-effective strategy was WES, then if nondiagnostic, EP, then if nondiagnostic, CMA (ICER: US$15 336/diagnosis); although adjusting for potential publication bias, the most cost-effective strategy was EP ± CMA ± WES (ICER: US$18 385/diagnosis). Although the cost-effectiveness of individual tests and testing strategies overlapped, CMA was consistently less cost-effective than WES and EP.Conclusion:Whole-exome sequencing and EP are the most cost-effective genetic tests for epilepsy. Our analyses support for a broad population of patients with unexplained epilepsy, starting with these tests. Although less expensive, CMA has lower yield, and its use as the first-tier test is thus not supported from a cost-effectiveness perspective.

Study of genetic etiology in fetuses with severely short limbs in the first and second trimester using whole exome sequencing

Objective: To investigate pathogenic genes related to the phenotype of fetus with severely short limbs in the first and second trimester by whole exome sequencing (WES). Methods: Thirteen fetuses with severely short limbs detected by ultrasonography in the first and second trimester admitted in Chinese PLA General Hospital from September 2016 to June 2018 were collected. All cases were performed induced abortion, 6 of which were carried out karyotype analysis of amniotic fluid at the same time. WES and copy number variations (CNV) were performed on specimens from fetal tissues after labor induction. The suspected pathogenic mutations were validated by Sanger sequencing reactions. Results: No abnormal karyotypes or pathological CNV were found. In 10 fetuses, pathogenic or possibly pathogenic mutations were detected in the following genes: COL2A1, FGFR3, COL1A1, COL1A2, DYNC2LI1 and TRIP11, all of which were essential to skeletal development. The diagnostic yield of WES in the fetuses with severe short limbs was 10/13. Conclusions: In the first and second trimester, most of the fetuses with extremely short limbs suffer from monogenic diseases. WES is likely to be a valuable diagnostic testing option for the fetuses with severe short limbs.

Coverage and diagnostic yield of Whole Exome Sequencing for the Evaluation of Cases with Dilated and Hypertrophic Cardiomyopathy

Targeted next generation sequencing of gene panels has become a popular tool for the genetic diagnosis of hypertrophic (HCM) and dilated cardiomyopathy (DCM). However, it is uncertain whether the use of Whole Exome Sequencing (WES) represents a more effective approach for diagnosis of cases with HCM and DCM. In this study, we performed indirect comparisons of the coverage and diagnostic yield of WES on genes and variants related to HCM and DCM versus 4 different commercial gene panels using 40 HCM and DCM patients, assuming perfect coverage in those panels. We identified 6 pathogenic or likely pathogenic among 14 HCM patients (diagnostic yield 43%). 3 pathogenic or likely pathogenic were found among the 26 DCM patients (diagnostic yield 12%). The coverage was similar to that of four existing commercial gene panels due to the clustering of mutation within MYH7, MYBPC3, TPM1, TNT2, and TTN. Moreover, the coverage of WES appeared inadequate for TNNI3 and PLN. We conclude that most of the pathogenic variants for HCM and DCM can be found within a small number of genes which were covered by all the commercial gene panels, and the application of WES did not increase diagnostic yield.

Diagnostic strategy in segmentation defect of the vertebrae: a retrospective study of 73 patients

BackgroundSegmentation defects of the vertebrae (SDV) are non-specific features found in various syndromes. The molecular bases of SDV are not fully elucidated due to the wide range of phenotypes and...

Clinical validity of phenotype-driven analysis software PhenoVar as a diagnostic aid for clinical geneticists in the interpretation of whole-exome sequencing data.

We sought to determine the diagnostic yield of whole-exome sequencing (WES) combined with phenotype-driven analysis of variants in patients with suspected genetic disorders. WES was performed on a cohort of 51 patients presenting dysmorphisms with or without neurodevelopmental disorders of undetermined etiology. For each patient, a clinical geneticist reviewed the phenotypes and used the phenotype-driven analysis software PhenoVar (http://phenovar.med.usherbrooke.ca/) to analyze WES variants. The prioritized list of potential diagnoses returned was reviewed by the clinical geneticist, who selected candidate variants to be confirmed by segregation analysis. Conventional analysis of the individual variants was performed in parallel. The resulting candidate variants were subsequently reviewed by the same geneticist, to identify any additional potential diagnoses. A molecular diagnosis was identified in 35% of the patients using the conventional analysis, and 17 of these 18 diagnoses were independently identified using PhenoVar. The only diagnosis initially missed by PhenoVar was rescued when the optional "minimal phenotypic cutoff" filter was omitted. PhenoVar reduced by half the number of potential diagnoses per patient compared with the conventional analysis. Phenotype-driven software prioritizes WES variants, provides an efficient diagnostic aid to clinical geneticists and laboratories, and should be incorporated in clinical practice.

Diagnostic yield of whole-exome sequencing in neurological diaseases

Background: Over the past years, whole-exome sequencing (WES) has become a widespread diagnostic tool in a broad spectrum of heterogeneous neurological disorders with a suspected monogenetic (Mendelian) aetiology. To date, several studies have addressed the utility of next-generation sequencing methods, reporting diagnostic yields of approximately 25%.