High prevalence of genetic variants previously associated with LQT syndrome in new exome data

To date, hundreds of variants in 13 genes have been associated with long QT syndrome (LQTS). The prevalence of LQTS is estimated to be between 1:2000 and 1:5000. The knowledge of genetic variation in the general population has until recently been limited, but newly published data from NHLBI GO Exome Sequencing Project (ESP) has provided important knowledge on this topic. We aimed to investigate the prevalence of previously LQTS-associated variants in ESP (5400 individuals), in order to identify possible false-positive LQTS variants. With this aim, we performed a search for previously published LQTS-associated variants in ESP. In addition, a PolyPhen-2 prediction was conducted, and the four most prevalent LQTS-associated variants with significant functional effects present in ESP were genotyped in a second control population. We identified 33 missense variants previously associated with LQTS in ESP. These 33 variants affected 173 alleles and this corresponded to a LQTS prevalence of 1:31 in the ESP population. PolyPhen-2 predicted 30% of the 33 variants present in ESP to be benign compared with 13% among LQTS-associated variants not present in ESP (P=0.019). Genotyping of the four variants KCNH2 P347S; SCN5A: S216L, V1951L; and CAV3 T78M in the control population (n=704) revealed prevalences comparable to those of ESP. Thus, we identified a much higher prevalence of previously LQTS-associated variants than expected in exome data from population studies. Great caution regarding the possible disease causation of some of these variants has to be taken, especially when used for risk stratification in family members.     

Reevaluation of genetic variants previously associated with arrhythmogenic right ventricular cardiomyopathy integrating population-based cohorts and proteomics data

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is one of the most common causes of sudden cardiac death in young people. Patients diagnosed with ARVC may experience increased likelihood of development of anxiety and depression, emphasizing the need for accurate diagnosis. To assist future genetic diagnosis and avoidance of misdiagnosis, we evaluated the reported monogenic disease-causing variants in ARVD/C Genetic Variants Database, Human Gene Mutation Database, and ClinVar. Within the aforementioned databases, 630 monogenic disease-causing variants from 18 genes were identified. In the genome Aggregation Database, 226 of these were identified; 68 of which were found at greater than expected prevalence. Furthermore, 37/226 genetic variants were identified amongst the 409 000 UK biobank participants, 23 were not associated with ARVC. Among the 14 remaining variants, 13 were previously found with greater than expected prevalence for a monogenic variant. Nevertheless, they were associated with serious cardiac phenotypes, suggesting that these 13 variants may be disease-modifiers of ARVC, rather than monogenic disease-causing. In summary, more than 10% of variants previously reported to cause ARVC were found unlikely to be associated with highly penetrant monogenic forms of ARVC. Notably, all variants in OBSCN and MYBPC3 were found, making these unlikely to be monogenic causes of ARVC.     

A novel heterozygous variant p.(Trp538Arg) of SYNM is identified by whole‐exome sequencing in a Chinese family with dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is a relatively frequent myocardial disease that may lead to heart failure, syncope, and sudden cardiac death. Genetic factors play important roles in the etiology of the disease. To date, at least 50 genes have been identified in patients with DCM, among them, only three mutations have been reported in Synemin (SYNM) gene. In this study, we investigate a Chinese family of three generations with four patients with DCM. Employing whole‐exome sequencing (WES) and bioinformatics strategies, a novel heterozygous missense mutation p.(Trp538Arg) of SYNM was identified and cosegregated with the affected family members. The missense mutation locates in the C‐terminal domain of SYNM and leads to a substitution of tryptophan by arginine and may cause the structure change of synemin protein. In conclusion, we employed WES to detect the mutations of DCM patients and identified a novel likely pathogenic mutation in SYNM gene. Our study not only expands the spectrum of SYNM mutations, it further confirms that mutations in SYMN may underlie nonfamilial DCM, and offers genetic testing information to additional DCM patients.     

Osteogenesis imperfecta: Novel genetic variants and clinical observations from a clinical exome study of 54 Indian patients

Osteogenesis imperfecta (OI) is a group of inherited disorders with increased bone fragility and wide genetic heterogeneity. We report the outcome of clinical exome sequencing validated by Sanger sequencing in clinically diagnosed 54 OI patients in Indian population. In 52 patients, we report 20 new variants involving both dominant and recessive OI‐specific genes and correlate these with phenotypes. COL1A1 and COL1A2 gene variants were identified in 44.23%, of which 28.84% were glycine substitution abnormalities. Two novel compound heterozygous variants in the FKBP10 gene were seen in two unrelated probands. A novel heterogeneous duplication of chromosomal region chr17: 48268168–48278884 from exons 1–33 of the COL1A1 gene was found in one proband. In five probands, there were additional variants in association with OI. These were ANO5 in association with CRTAP in two probands of the same family causing gnathodiaphyseal dysplasia, COL5A2 with LEPRE1 causing Ehlers Danlos syndrome, COL11A1 in addition to COL1A1 causing Stickler syndrome, and a previously unreported combination of SLC34A1 gene variant with FKBP10 leading to Fanconi renal tubular syndrome type II. Our findings demonstrate the efficacy of clinical exome sequencing in screening OI patients, classifying its subtypes, and identifying associated disorders in consanguineous populations.     

The best of both worlds: Blending cutting-edge research with clinical processes for a productive exome clinic

Genomic medicine has been transformed by next-generation sequencing (NGS), inclusive of exome sequencing (ES) and genome sequencing (GS). Currently, ES is offered widely in clinical settings, with a less prevalent alternative model consisting of hybrid programs that incorporate research ES along with clinical patient workflows. We were among the earliest to implement a hybrid ES clinic, have provided diagnoses to 45% of probands, and have identified several novel candidate genes. Our program is enabled by a cost-effective investment by the health system and is unique in encompassing all the processes that have been variably included in other hybrid/clinical programs. These include careful patient selection, utilization of a phenotype-agnostic bioinformatics pipeline followed by manual curation of variants and phenotype integration by clinicians, close collaborations between the clinicians and the bioinformatician, pursuit of interesting variants, communication of results to patients in categories that are predicated upon the certainty of a diagnosis, and tracking changes in results over time and the underlying mechanisms for such changes. Due to its effectiveness, scalability to GS and its resource efficiency, specific elements of our paradigm can be incorporated into existing clinical settings, or the entire hybrid model can be implemented within health systems that have genomic medicine programs, to provide NGS in a scientifically rigorous, yet pragmatic setting.     

Detection of copy number variations in epilepsy using exome data

Epilepsies are common neurological disorders and genetic factors contribute to their pathogenesis. Copy number variations (CNVs) are increasingly recognized as an important etiology of many human diseases including epilepsy. Whole‐exome sequencing (WES) is becoming a standard tool for detecting pathogenic mutations and has recently been applied to detecting CNVs. Here, we analyzed 294 families with epilepsy using WES, and focused on 168 families with no causative single nucleotide variants in known epilepsy‐associated genes to further validate CNVs using 2 different CNV detection tools using WES data. We confirmed 18 pathogenic CNVs, and 2 deletions and 2 duplications at chr15q11.2 of clinically unknown significance. Of note, we were able to identify small CNVs less than 10 kb in size, which might be difficult to detect by conventional microarray. We revealed 2 cases with pathogenic CNVs that one of the 2 CNV detection tools failed to find, suggesting that using different CNV tools is recommended to increase diagnostic yield. Considering a relatively high discovery rate of CNVs (18 out of 168 families, 10.7%) and successful detection of CNV with <10 kb in size, CNV detection by WES may be able to surrogate, or at least complement, conventional microarray analysis.     

A child cohort study from southern Italy enlarges the genetic spectrum of hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is the most frequent genetic cardiovascular disorder worldwide. It is the leading cause of sudden cardiac-related death in young people and a major cause of cardiac failure and death in elderly people. However, HCM frequently goes undiagnosed until the appearance of overt signs and symptoms, thereby delaying prophylactic and therapeutic measures. We screened patients for sarcomeric genes associated with HCM to obtain information that could be useful for an early diagnosis and so limit the severe consequences of silent HCM. We recruited 39 families with HCM from southern Italy and found mutations in 41% of families (12 with familial HCM and 4 with sporadic HCM). The remaining 23 families (59%) were negative for myofilament gene mutations. Of the 12 mutations identified, 8 were novel. Screening of the other family members available revealed that 27 had mutations; 11 of these individuals had no signs or symptoms suggestive of HCM. This study, besides characterizing the spectrum of mutations in another childhood population, and revealing an even greater genetic heterogeneity than formerly recognized, may increase genotype-phenotype correlations, and thus may help to identify asymptomatic candidates for early preventive or therapeutic measures.     

Disclosure of cardiac variants of uncertain significance results in an exome cohort

This study examined the impact of disclosing subclassifications of genetic variants of uncertain significance (VUS) on behavioral intentions. We studied return of VUS results to 79 individuals with a cardiomyopathy‐associated VUS, subclassified into VUS‐high or VUS‐low. Primary outcomes were perceived risk (absolute and comparative), perceived severity, perceived value of information, self‐efficacy, decision regret, and behavioral intentions to share results and change behaviors. There was no significant difference between the 2 subclasses in overall behavioral intentions (t = 0.023, P = .982) and each of the individual items on the behavioral intentions scale; absolute (t = ?1.138, P = .259) or comparative (t = ?0.463, P = .645) risk perceptions; perceived value of information (t = 0.582, P = .563) and self‐efficacy (t = ?0.733, P = .466). Decision regret was significantly different (t = 2.148, P = .035), with VUS‐low (mean = 17.24, SD = 16.08) reporting greater regret. Combining the subclasses, perceived value of information was the strongest predictor of behavioral intentions (β = 0.524, P < .001). Participants generally understood the meaning of a genetic VUS result classification and reported satisfaction with result disclosure. No differences in behavioral intentions were found, but differences in decision regret suggest participants distinguish subclasses of VUS results. The perceived value of VUS may motivate recipients to pursue health‐related behaviors.     

Robust identification of deletions in exome and genome sequence data based on clustering of Mendelian errors

Multiple tools have been developed to identify copy number variants (CNVs) from whole exome (WES) and whole genome sequencing (WGS) data. Current tools such as XHMM for WES and CNVnator for WGS identify CNVs based on changes in read depth. For WGS, other methods to identify CNVs include utilizing discordant read pairs and split reads and genome‐wide local assembly with tools such as Lumpy and SvABA, respectively. Here, we introduce a new method to identify deletion CNVs from WES and WGS trio data based on the clustering of Mendelian errors (MEs). Using our Mendelian Error Method (MEM), we identified 127 deletions (inherited and de novo) in 2,601 WES trios from the Pediatric Cardiac Genomics Consortium, with a validation rate of 88% by digital droplet PCR. MEM identified additional de novo deletions compared with XHMM, and a significant enrichment of 15q11.2 deletions compared with controls. In addition, MEM identified eight cases of uniparental disomy, sample switches, and DNA contamination. We applied MEM to WGS data from the Genome In A Bottle Ashkenazi trio and identified deletions with 97% specificity. MEM provides a robust, computationally inexpensive method for identifying deletions, and an orthogonal approach for verifying deletions called by other tools.     

Identification of pathogenic variants of ERLEC1 in individuals with Class III malocclusion by exome sequencing

Class III malocclusion is a common dentofacial deformity. The underlying genetic alteration is largely unclear. In this study, we sought to determine the genetic etiology for Class III malocclusion. A four‐generation pedigree of Class III malocclusion was recruited for exome sequencing analyses. The likely causative gene was verified via Sanger sequencing in an additional 90 unrelated sporadic Class III malocclusion patients. We identified a rare heterozygous variant in endoplasmic reticulum lectin 1 (ERLEC1; NM_015701.4(ERLEC1_v001):c.1237C>T, p.(His413Tyr), designated as ERLEC1‐m in this article) that cosegregated with the deformity in pedigree members and three additional rare missense heterozygous variants (c.419C>G, p.(Thr140Ser), c.419C>T, p.(Thr140Ile), and c.1448A>G, p.(Asn483Ser)) in 3 of 90 unrelated sporadic subjects. Our results showed that ERLEC1 is highly expressed in mouse jaw osteoblasts and inhibits osteoblast proliferation. ERLEC1‐m significantly enhanced this inhibitory effect of osteoblast proliferation. Our results also showed that the proper level of ERLEC1 expression is crucial for proper osteogenic differentiation. The ERLEC1 variant identified in this study is likely a causal mutation of Class III malocclusion. Our study reveals the genetic basis of Class III malocclusion and provides insights into the novel target for clinical management of Class III malocclusion, in addition to orthodontic treatment and orthodontic surgery.     

Identification of recurrent pathogenic alleles using exome sequencing data: Proof-of-concept study of Russian subjects

Whole exome sequencing (WES) is a powerful tool for the cataloguing of population-specific genetic diseases. Within this proof-of-concept study we evaluated whether analysis of a small number of individual exomes is capable of identifying recurrent pathogenic alleles. We considered 106 exomes of subjects of Russian origin and revealed 13 genetic variants, which occurred more than twice and fulfilled the criteria for pathogenicity. All these alleles turned out to be indeed recurrent, as revealed by the analysis of 1045 healthy Russian donors. Eight of these variants (NAGA c.973G>A, ACADM c.985A>C, MPO c.2031-2A>C, SLC3A1 c.1400T>C, LRP2 c.6160G>A, BCHE c.293A>G, MPO c.752T>C, FCN3 c.349delC) are non-Russian-specific, as their high prevalence was previously demonstrated in other European populations. The remaining five disease-associated alleles appear to be characteristic for subjects of Russian origin and include CLCN1 c.2680C>T (myotonia congenita), DHCR7 c.453G>A (Smith-Lemli-Opitz syndrome), NUP93 c.1162C>T (steroid-resistant nephrotic syndrome, type 12), SLC26A2 c.1957T>A (multiple epiphyseal dysplasia) and EIF3F c.694T>G (mental retardation). These recessive disease conditions may be of particular relevance for the Russian Federation and other countries with a significant Slavic population.     

Evaluation of exome filtering techniques for the analysis of clinically relevant genes

A significant challenge facing clinical translation of exome sequencing is meaningful and efficient variant interpretation. Each exome contains ～500 rare coding variants; laboratories must systematically and efficiently identify which variant(s) contribute to the patient's phenotype. In silico filtering is an approach that reduces analysis time while decreasing the chances of incidental findings. We retrospectively assessed 55 solved exomes using available datasets as in silico filters: Online Mendelian Inheritance in Man (OMIM), Orphanet, Human Phenotype Ontology (HPO), and Radboudumc University Medical Center curated panels. We found that personalized panels produced using HPO terms for each patient had the highest success rate (100%), while producing considerably less variants to assess. HPO panels also captured multiple diagnoses in the same individual. We conclude that custom HPO‐derived panels are an efficient and effective way to identify clinically relevant exome variants.     

Mutations of ANK3 identified by exome sequencing are associated with autism susceptibility

Autism spectrum disorders (ASDs) are common neurodevelopmental disorders with a strong genetic etiology. However, due to the extreme genetic heterogeneity of ASDs, traditional approaches for gene discovery are challenging. Next‐generation sequencing technologies offer an opportunity to accelerate the identification of the genetic causes of ASDs. Here, we report the results of whole‐exome sequence in a cohort of 20 ASD patients. By extensive bioinformatic analysis, we identified novel mutations in seven genes that are implicated in synaptic function and neurodevelopment. After sequencing an additional 47 ASD samples, we identified three different missense mutations in ANK3 in four unrelated ASD patients, one of which, c.4705T>G (p.S1569A), is a de novo mutation. Given the fact that ANK3 has been shown to strongly associate with schizophrenia and bipolar disorder, our findings support an association between ANK3 mutations and ASD susceptibility and imply a shared molecular pathophysiology between ASDs and other neuropsychiatric disorders. Hum Mutat 33:1635–1638, 2012. © 2012 Wiley Periodicals, Inc.     

Using whole‐exome sequencing to investigate the genetic bases of lysosomal storage diseases of unknown etiology

Lysosomes are membrane‐bound, acidic eukaryotic cellular organelles that play important roles in the degradation of macromolecules. Mutations that cause the loss of lysosomal protein function can lead to a group of disorders categorized as the lysosomal storage diseases (LSDs). Suspicion of LSD is frequently based on clinical and pathologic findings, but in some cases, the underlying genetic and biochemical defects remain unknown. Here, we performed whole‐exome sequencing (WES) on 14 suspected LSD cases to evaluate the feasibility of using WES for identifying causal mutations. By examining 2,157 candidate genes potentially associated with lysosomal function, we identified eight variants in five genes as candidate disease‐causing variants in four individuals. These included both known and novel mutations. Variants were corroborated by targeted sequencing and, when possible, functional assays. In addition, we identified nonsense mutations in two individuals in genes that are not known to have lysosomal function. However, mutations in these genes could have resulted in phenotypes that were diagnosed as LSDs. This study demonstrates that WES can be used to identify causal mutations in suspected LSD cases. We also demonstrate cases where a confounding clinical phenotype may potentially reflect more than one lysosomal protein defect.