Pathogenicity Of Variants Research Articles

BRCAIndica: a resource for ACMG/AMP classified BRCA1 and BRCA2 variants.

As genetic testing becomes increasingly accessible and affordable, the uniform and accurate interpretation of genetic variants becomes essential. The ACMG/AMP joint guidelines provide the basis for systematic and uniform interpretation of pathogenicity of genetic variants. However, the application of these in routine clinical interpretation at-scale has largely been limited by the lack of resources providing harmonized data especially at a population-scale. Here we describe BRCAIndica, a resource for BRCA1 and BRCA2 variants conforming to the ACMG & AMP joint guidelines to aid uniform clinical interpretation of genetic tests with a specific focus on variants reported in the Indian population. We collected and harmonized variants from across several resources including population-scale datasets, literature survey and other variant datasets. We then classified them according to the ACMG/AMP guidelines.We have collected a total of 10,490 unique variants, of which 2261 Pathogenic and 43 Likely Pathogenic variants belong to BRCA1 and 2694 Pathogenic and 20 Likely Pathogenic variants to BRCA2 respectively. BRCAIndica can be accessed at:https://clingen.igib.res.in/brcaindica/ . In conclusion, BRCAIndica is a powerful resource that offers researchers and clinicians with ACMG/AMP annotated BRCA variants.

Ligand distances as key predictors of pathogenicity and function in NMDA receptors.

Genetic variants in the genes GRIN1, GRIN2A, GRIN2B, and GRIN2D, which encode subunits of the N-methyl-D-aspartate receptor (NMDAR), have been associated with severe and heterogeneous neurologic and neurodevelopmental disorders, including early onset epilepsy, developmental and epileptic encephalopathy, intellectual disability, and autism spectrum disorders. Missense variants in these genes can result in gain or loss of the NMDAR function, requiring opposite therapeutic treatments. Computational methods that predict pathogenicity and molecular functional effects of missense variants are therefore crucial for therapeutic applications. We assembled 223 missense variants from patients, 631 control variants from the general population, and 160 missense variants characterized by electrophysiological readouts that show whether they can enhance or reduce the function of the receptor. This includes new functional data from 33 variants reported here, for the first time. By mapping these variants onto the NMDAR protein structures, we found that pathogenic/benign variants and variants that increase/decrease the channel function were distributed unevenly on the protein structure, with spatial proximity to ligands bound to the agonist and antagonist binding sites being a key predictive feature for both variant pathogenicity and molecular functional consequences. Leveraging distances from ligands, we developed two machine-learning based predictors for NMDA variants: a pathogenicity predictor which outperforms currently available predictors and the first molecular function (increase/decrease) predictor. Our findings can have direct application to patient care by improving diagnostic yield for genetic neurodevelopmental disorders and by guiding personalized treatment informed by the knowledge of the molecular disease mechanism.

Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes.

Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ??0 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ?? prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.

Screening for mitochondrial tRNA variants in 200 patients with systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a common autoimmune disease with unknown etiology. Recently, a growing number of evidence suggested that mitochondrial dysfunctions played active roles in the pathogenesis of SLE, but its detailed mechanism remains largely undetermined. The aim of this study was to analysis the frequencies of mitochondrial tRNA (mt-tRNA) variants in Chinese individuals with SLE. We carried out a mutational screening of mt-tRNA variants in a cohort of 200 patients with SLE and 200 control subjects by PCR-Sanger sequencing. The potential pathogenicity of mt-tRNA variants were evaluated by phylogenetic conservation and haplogroup analyses. In addition, trans-mitochondrial cybrid cell lines were established, mitochondrial functions including ATP, reactive oxygen species (ROS), mitochondrial DNA (mtDNA) copy number, mitochondrial membrane potential (MMP), superoxide dismutase (SOD) and mt-RNA transcription were analyzed in cybrids with and without these putative pathogenic mt-tRNA variants. We identified five possible pathogenic variants: tRNAVal G1606A, tRNALeu(UUR) A3243G, tRNAIle A4295G, tRNAGly T9997C, and tRNAThr A15924G that only found in SLE patients but were absent in controls. Interestingly, these variants were located at extremely conserved nucleotides of the corresponding tRNAs and may alter tRNAs' structure and function. Furthermore, cells carrying these tRNA variants had much lower levels of ATP, mtDNA copy number, MMP and SOD than controls, by contrast, the levels of ROS increased significantly (p<0.05 for all). Furthermore, a significantly reductions in mt-ND1, ND2, ND3, ND5 and A6 mRNA expression were observed in cells with these mt-tRNA variants, while compared with controls. Thus, failures in tRNAs metabolism caused by these variants would impair mitochondrial translation, and subsequently lead to mitochondrial dysfunction that was involved in the progression and pathogenesis of SLE. Our study suggested that mt-tRNA variants were important causes for SLE, screening for mt-tRNA pathogenic variants was recommended for early detection and prevention for this disorder.

Multimodal scanning of genetic variants with base and prime editing.

Mutational scanning connects genetic variants to phenotype, enabling the interrogation of protein functions, interactions and variant pathogenicity. However, current methodologies cannot efficiently engineer customizable sets of diverse genetic variants in endogenous loci across cellular contexts in high throughput. Here, we combine cytosine and adenine base editors and a prime editor to assess the pathogenicity of a broad spectrum of variants in the epithelial growth factor receptor gene (EGFR). Using pooled base editing and prime editing guide RNA libraries, we install tens of thousands of variants spanning the full coding sequence of EGFR in multiple cell lines and assess the role of these variants in tumorigenesis and resistance to tyrosine kinase inhibitors. Our EGFR variant scan identifies important hits, supporting the robustness of the approach and revealing underappreciated routes to EGFR activation and drug response. We anticipate that multimodal precision mutational scanning can be applied broadly to characterize genetic variation in any genetic element of interest at high and single-nucleotide resolution.

Abstract 4136581: Shared Genetic Burden of Ischemic and Non-Ischemic Dilated Cardiomyopathy

Introduction: Ischemic dilated cardiomyopathy (IDCM) is defined as DCM caused by severe stenosis of one or more coronary arteries. Patients with non-ischemic dilated cardiomyopathy (NIDCM) have normal coronary arteries and may possess rare disease-causing variants in cardiac proteins such as TTN . However, IDCM and NIDCM share echocardiographic and pathologic features, possibly suggesting a shared etiology. Hypothesis: There is a similar prevalence of pathogenic (P)/likely pathogenic (LP) variants in patients with IDCM compared to patients with NIDCM. Aims: We compared the prevalence of P/LP genetic variants in DCM-associated genes in a cohort of patients with NIDCM or IDCM who received a heart transplant. Methods: We conducted a retrospective cohort study of patients who received a heart transplant between May 2017 and October 2023 at Cedars Sinai Medical Center in Los Angeles, CA. All subjects had LVEF ≤ 50% and LVEDD ≥ 95 th percentile for sex and height. Whole exome sequencing was performed on explanted heart tissue. We assessed for rare variants (minor allele frequency &lt;0.1%) in genes with a definite, strong, or moderate rating in the ClinGen DCM Gene Curation Expert Panel. Variant pathogenicity was interpreted using the American College of Genetics and Genomics criteria for DCM. Ischemic cardiomyopathy was defined by the Felker criteria (Felker et al., JACC 2002). Results: We included 60 subjects: 16 with IDCM and 44 with NIDCM. There was no difference in LVEF or LVEDD between groups (TABLE). 2/16 (12.5%) patients with IDCM carried a P/LP variant, both of which were in TTN . 11/44 (25.0%) patients with NIDCM carried a P/LP variant: 6 in TTN and 1 each in FLNC, ILK, LMNA, MYH7 , and RBM20 . The prevalence of TTN variants in each group was similar (12.5% in IDCM vs. 13.6% in NIDCM) and higher than the expected frequency in the general population (0.2%). There was no significant difference in the prevalence of P/LP variants between the groups (chi-squared p-value 0.493, Bayes factor 0.45). Conclusion: Patients with IDCM exhibited a similar prevalence of P/LP variants to NIDCM patients, which suggests a shared genetic burden. If further studies confirm our findings, genetic testing for individuals with IDCM may be warranted.

Abstract 4127919: Disease-associated variants in DSP -encoded desmoplakin are common, yet low penetrant alleles associated with development of myocarditis and cardiomyopathy at a population level

Intro: DSP- encoded desmoplakin is implicated in a distinct form of arrhythmic cardiomyopathy (ACM), often involving the LV and characterized by myocardial inflammation. Conventional ACM diagnostic criteria has poor sensitivity for DSP -associated ACM, thus highlighting the need to identify the full spectrum of phenotypic risk associated with disease-associated DSP variants. Objective: To analyze the genotypic and phenotypic spectrum of DSP -mediated disease at a large population level. Methods: UK Biobank participants with exome sequencing (ES) were included. Variants were filtered by gene evidence category, yielding 3 groups: predicted deleterious (pDel); subset with predicted loss of function (LOF); and ultra-filtered subset by ClinVar 2* pathogenic/likely pathogenic (P/LP). Phenotypic penetrance was analyzed with DSP -neg individuals as control. Variant location analysis assessed LOFs by susceptibility to nonsense mediated decay region and missenses by amino acid sequence to identify mutational hotspots where P/LPs localize. Results: Out of 200,580 with ES, 1407 DSP carriers had pDel, 168 with LOF, and 44 with ClinVar 2* P/LP. DSP carriers had higher burden of myocarditis, cardiomyopathy (CM), and heart failure. A progressive enrichment in myocarditis and CM was observed by more stringent variant filtering in DSP carriers compared to control. A higher proportion of DSP carriers had myocarditis – 0.28% (4) of the pDels, 1.8% (3) of LOFs, and 4.5% (2) compared to control 0.07% (p&lt;0.05). A parallel trend noted the proportion of DSP carriers with CM growing from 1.4% (19) to 5.4% (9) and 6.8% (3) in the pDel, LOF, and ClinVar 2* P/LPs respectively compared to 0.6% in the control group (p&lt;0.01). Location analysis of missense variants revealed that P/LPs localized in higher proportions (74%) to key domains compared to non-P/LPs (50%; p&lt;0.001), highlighting prognostic value of predicting pathogenicity of missense DSP variants by mutation hotspots. Conclusions: While DSP variants are relatively common in the population, variant presence is associated with low penetrance. Enhancing clinical penetrance with increasingly stringent filtering of DSP variants emphasizes the importance of variant evaluation in clinical risk assessment. This first-in-kind population study of DSP provides insights into novel risk prediction factors, allowing us to predict pathogenicity by type and location of mutation and using variant filtering strategy to better assess phenotypic penetrance.

Abstract 4120763: Predicting Disease Risk Among Variants in Cardiomyopathy-Associated Genes Across Diverse Genetic Ancestries

Background: Many cases of cardiomyopathy (CM) are genetically inherited, and the expansion of broad genomic sequencing has opened the door for predicting those at risk for developing disease. However, genetic tools that help determine variant pathogenicity employ genetic data from predominantly European genetic ancestries. Understanding the full diversity of genetic variants in cardiomyopathy genes is central to identifying which variants will cause disease. Hypothesis: Participants of non-European genetic ancestry will have a higher burden of cardiomyopathy gene variants with "VUS" designation in ClinVar but will have equivalent/less penetrance of clinical cardiomyopathy compared to a European ancestry group. Methods: Participants in the AllofUs database with exome sequencing (ES) were queried and a cohort of 230,013 participants were retained after sample quality control filters. Participant genetic ancestry was based on the designated ancestry group determined via AllofUs as previously described (1). Participants were queried for variants in genes with definitive or moderate evidence of hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and arrhythmogenic cardiomyopathy (ACM) in ClinGen. Variants were filtered by ClinVar status (1* and above P/LP, 1* and above B/LB, and VUS). Participant CM disease status was determined via ICD-9/10 code. Results: For each ancestry group, prevalence of cardiomyopathy ranged from 0.34% in the Latino/admixed American ancestry group to 1.09% in the African group, with an average prevalence of 0.91% across all groups. The European group had a statistically significant lower percentage of ClinVar VUS variants at 26%, while all other non-European ancestry groups had a combined VUS prevalence rate of 35% (****p&lt;0.0001). The penetrance of CM in participants with CM VUS variants was lower in combined non-European ancestry groups (0.84%) than European ancestry (1.02%) (*p=0.0156). Conclusion: Prevalence of ClinVar VUS variants varies across different genetic ancestry groups, with European ancestry having a lower burden of VUS variants compared to non-European groups. However, non-European ancestry groups with increased burden of VUS variants have lower disease penetrance. Citations: (1) The All of Us Research Program Genomics Investigators. Genomic data in the All of Us Research Program. Nature 627 , 340–346 (2024). https://doi.org/10.1038/s41586-023-06957-x

Clinical and genetic analysis of a patient with Ataxia and vitamin E deficiency due to homozygous variant of TTPA gene

To explore the clinical phenotype and genetic characteristics of a patient with Ataxia and vitamin E deficiency syndrome (AVED) due to a variant of TTPA gene. A patient diagnosed with AVED (proband), intended for assisted reproductive technology for pregnancy in Zhongnan Hospital of Wuhan University in July 2023, was selected as research subject. Clinical data of the proband were collected, and 2 mL of peripheral venous blood samples were collected from the proband and her father and siblings for serum vitamin E level testing. Whole exome sequencing (WES) was carried out. Pathogenic variants were selected based on American public archive of interpretations of clinically relevant variants (ClinVar). Sanger sequencing was performed to validate the candidate variants detected by WES. Pathogenicity of variants was classified based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and the impact of variants was analyzed using multiple bioinformatics tools including SIFT, Mutation Taster, CADD, and SpliceAI. Information on the protein domains was obtained from ClinVar and dbSNP databases, and a hotspot map for the variants of protein-coding region was constructed. This study was approved by the Medical Ethics Committee of Zhongnan Hospital of Wuhan University (No. 2023068K). The proband has a significantly low serum level of vitamin E (5.186 μg/mL), while her father and siblings were normal. WES revealed that she has harbored a homozygous missense c.2T>A (p.0?) variant of the TTPA gene, for which her father and younger sister were heterozygous carriers. Based on the guidelines from the ACMG, the missense c.2T>A (p.0?) variant of the TTPA gene was classified as pathogenic (PVS1+PM2+PM3). Multiple bioinformatics tools had predicted this variant to be located in the initiation codon region and may lead to abnormal synthesis of the TTPA protein, indicating it was deleterious. The hotspot map based on ClinVar and dbSNP databases showed an even distribution of variants across 5 structural domains of the TTPA protein, with high conservation of the first amino acid residue across various species. The homozygous c.2T>A (p.0?) variant of the TTPA gene probably underlie the AVED in the proband. Above discovery has enriched the mutational spectrum of AVED and provided a basis for the diagnosis, genetic counseling, and assisted reproductive strategies for this family.

Assessing the Utility of ColabFold and AlphaMissense in Determining Missense Variant Pathogenicity for Congenital Myasthenic Syndromes

Background/Objectives: Congenital myasthenic syndromes (CMSs) are caused by variants in &gt;30 genes with increasing numbers of variants of unknown significance (VUS) discovered by next-generation sequencing. Establishing VUS pathogenicity requires in vitro studies that slow diagnosis and treatment initiation. The recently developed protein structure prediction software AlphaFold2/ColabFold has revolutionized structural biology; such predictions have also been leveraged in AlphaMissense, which predicts ClinVar variant pathogenicity with 90% accuracy. Few reports, however, have tested these tools on rigorously characterized clinical data. We therefore assessed ColabFold and AlphaMissense as diagnostic aids for CMSs, using variants of the CHRN genes that encode the nicotinic acetylcholine receptor (nAChR). Methods: Utilizing a dataset of 61 clinically validated CHRN variants, (1) we evaluated the possibility of a ColabFold metric (either predicted structural disruption, prediction confidence, or prediction quality) that distinguishes variant pathogenicity; (2) we assessed AlphaMissense’s ability to differentiate variant pathogenicity; and (3) we compared AlphaMissense to the existing pathogenicity prediction programs AlamutVP and EVE. Results: Analyzing the variant effects on ColabFold CHRN structure prediction, prediction confidence, and prediction quality did not yield any reliable pathogenicity indicative metric. However, AlphaMissense predicted variant pathogenicity with 63.93% accuracy in our dataset—a much greater proportion than AlamutVP (27.87%) and EVE (28.33%). Conclusions: Emerging in silico tools can revolutionize genetic disease diagnosis—however, improvement, refinement, and clinical validation are imperative prior to practical acquisition.

Whole exome sequencing: the search for mutations associated with hereditary breast cancer in ethnic groups of Siberia

Hereditary breast cancer (HBC) is a heterogeneous disease caused by mutations in genes characterized by ethnic specifcity. The clinical heterogeneity of this disease signifcantly complicates its diagnosis. The use of high-throughput sequencing is one of the approaches that allow the search for genes and their variants associated with the development of HBC. The purpose of the study was to search for new genes associated with HBC in the understudied ethnic groups of Siberia by using whole exome sequencing (WES).Material and Methods. WES was performed on a cohort of 16 probands with BC (Tuvan, Yakut, Altai ethnos). The study material was genomic DNA isolated from peripheral blood leukocytes. Libraries were prepared using a BGI Optimal DNA Library Prep kit. An Agilent SureSelect Human All Exon V6 kit was used for hybridization. High-throughput sequencing was performed on a DNA nanoball sequencing platform (DNBSeq-G400).Results. In the overall group of patients with signs of HBC, pathogenic variants were detected in 12.5 % of cases (2/16). For the frst time, BRCA1 (rs80357635) pathogenic variant was identified in a young patient with metachronous BC (Yakut ethnic group). A pathogenic variant of the ATM gene (rs780619951 NM_000051:exon16:c.C2413T:p.R805X) was identified in a young patient with BC (Tuvinian ethnic group). A pathogenic variant of the TDP2 c.G4T:p.E2X, rs770844602 gene (DNA repair gene) was identified for the frst time in a Tuvan BC patient (metachronous) with a family history, but its contribution to HBC remains to be proven. The TDG gene variant (rs764159587 NM_001363612:exon7:c.536dupA:p.E179fs) found in the Tuvan ethnic group and affecting splicing (SpliceAI: 0.580) requires special attention.Conclusion. This report is the frst to describe the germinal variant in the BRCA1 (rs80357635) gene in the Yakut ethnic group. Further studies are required to confrm pathogenicity of germinal variants in non-well studied genes TDP2, TDG in ethnic BC patients.

Investigating the role of non-synonymous variant D67N of ADGRE2 in chronic myeloid leukemia

BackgroundChronic myeloid leukaemia (CML) is a type of blood cancer that begins in the hematopoietic stem cells. It is primarily characterized by a specific chromosomal aberration, the Philadelphia chromosome. While the fusion gene is a major contributor to CML, several other genes including ADGRE2, that are reported as highly expressed in hematopoietic stem cells and could be utilized as a therapeutic marker in leukemic patients are implicated in the disease’s progression. Until recently, little research had been conducted to identify single nucleotide polymorphisms (SNPs) associated with CML. Therefore, this study aims to investigate the influence of non-synonymous variants on the structure and function of the gene encoding adhesion G protein-coupled receptor E2, ADGRE2, and to evaluate their association with CML and its clinical and pathological characteristics.MethodsNon-synonymous SNPs of ADGRE2 were retrieved from the ENSEMBL, COSMIC, and gnomAD genome browsers, and the pathogenicity of deleterious variants was assessed using several established computational tools, including SIFT, CADD, REVEL, PolyPhen, and MetaLR.ResultsVarious in silico analyses explored the impact of damaging SNP on the function, stability, and structure of EGF-like modules containing mucin-like hormone receptor-like2 (EMR2) protein encoded by the ADGRE2 gene. Genotype analysis was performed on collected blood samples, revealing that altered genotype TT of variant rs765071211 (C/T) was associated significantly with CML patients compared to the control. Further in vitro and in vivo analyses suggest that this SNP holds potential for clinical translation.

Molecular and Functional Assessment of TSC1 and TSC2 in Individuals with Tuberous Sclerosis Complex

Tuberous sclerosis complex (TSC) is an autosomal dominant neurodevelopmental disorder and multisystem disease caused by pathogenic DNA alterations in the TSC1 and TSC2 tumor suppressor genes. A molecular genetic diagnosis of TSC confirms the clinical diagnosis, facilitating the implementation of appropriate care and surveillance. TSC1 and TSC2 encode the core components of the TSC, a negative regulator of the mechanistic target of rapamycin (MTOR) complex 1 (TORC1). Functional analysis of the effects of TSC1 and TSC2 variants on TORC1 activity can help establish variant pathogenicity. We searched for pathogenic alterations to TSC1 and TSC2 in DNA isolated from 116 individuals with a definite clinical diagnosis of TSC. Missense variants and in-frame deletions were functionally assessed. Pathogenic DNA alterations were identified in 106 cases (91%); 18 (17%) in TSC1 and 88 (83%) in TSC2. Of these, 35 were novel. Disruption of TSC activity was demonstrated for seven TSC2 variants. Molecular diagnostics confirms the clinical diagnosis of TSC in a large proportion of cases. Functional assessment can help establish variant pathogenicity and is a useful adjunct to DNA analysis.

The cumulative effect of compound heterozygous variants in TRPV3 caused Olmsted syndrome

BackgroundOlmsted syndrome (OS) is a rare genodermatosis predominantly inherited in an autosomal dominant manner, typically arising from gain-of-function (GOF) variants in the transient receptor potential channel vanilloid 3 (TRPV3). ObjectiveThis study aims to investigate potential mechanisms underlying OS in two cases presenting with an autosomal recessive inheritance pattern. MethodsNext-generation sequencing panel was employed to identify TRPV3 variants. TRPV3 plasmids carrying specific point variations were generated and transiently transfected into HEK293T cells. Electrophysiological patch-clamp techniques were utilized to record voltage-activated and ligand-activated currents. Celltiter-Glo luminescent assay was employed to analyze the cell viabilities. ResultsCompound heterozygous variants, c.1563G>C (p.W521C) and c.1376C>T (p.S459L), as well as c.1773G>C (p.L591F) and c.2186G>A (p.R729Q), were identified in the two OS patients respectively. Electrophysiological analysis of ligand-induced activation of TRPV3 variants demonstrated the closest correlation with clinical manifestations. All four variants displayed GOF channel activity characterized by increased sensitivity. Notably, W521C and L591F exhibited both heightened sensitivity and lower EC50 values for the TRPV3 agonist. Co-transfection with wild-type TRPV3 plasmids significantly rescued these effects. Cells co-transfected with the corresponding compound heterozygous variants exhibited intermediate electrophysiological characteristics. ConclusionsIn this study, we present two cases of OS by autosomal-recessive inheritance of TPRV3 variants. This study presents a notable observation of compound heterozygous GOF variants in TRPV3, highlighting their cumulative impact on clinical manifestations. Additionally, we advocate for the use of ligand-dependent ion channel activity assays to assess the pathogenicity of TRPV3 variants in OS.

Updating probability of pathogenicity for RYR1 and CACNA1S exon variants in individuals without malignant hyperthermia after exposure to triggering anesthetics

Objectives We aimed to classify genetic variants in RYR1 and CACNA1S associated with malignant hyperthermia using biobank genotyping data in patients exposed to triggering anesthetics without malignant hyperthermia phenotype. Methods We identified individuals who underwent surgery and were exposed to triggering anesthetics without malignant hyperthermia phenotype and who had RYR1 or CACNA1S genotyping data available in our biobank. We classified all variants in the cohort using a Bayesian framework of the American College of Medical Genetics and Genomics and the Association of Molecular Pathologists guidelines for variant classification and updated the posterior probabilities from this model with the new information from our biobank cohort. Results We identified 253 patients with 95 RYR1 variants and 12 CACNA1S variants. After applying a Bayesian framework, we classified 17 variants as benign (B), 31 as likely benign (LB), 57 as uncertain (VUS), and 2 as likely pathogenic (LP). When we incorporated evidence about unique exposures to malignant hyperthermia triggering anesthetic agents, 48 of 107 (45%) variants were downgraded (9 to B, 37 to LB, and 2 to VUS). Notably, 41 (72%) of 57 VUSs were downgraded to B or LB. When repeat anesthetics in the same individual were counted as one exposure, 42 of 107 (39%) of variants were downgraded (5 to B, 35 to LB, and 2 to VUS). Specifically, 37 (65%) of 57 VUSs were downgraded to LB. Conclusion Deidentified biorepositories linked with anesthetic data offer a new method of integrating clinical evidence into the assessment of variant probability of pathogenicity.

Cardiovascular Disease Pathogenicity Predictor (CVD-PP): A Tissue-Specific In Silico Tool for Discriminating Pathogenicity of Variants of Unknown Significance in Cardiovascular Disease Genes.

Interpretation of variants of uncertain significance (VUSs) remains a challenge in the care of patients with inherited cardiovascular diseases (CVDs); 56% of variants within CVD risk genes are VUS, and machine learning algorithms trained upon large data resources can stratify VUS into higher versus lower probability of contributing to a CVD phenotype. We used ClinVar pathogenic/likely pathogenic and benign/likely benign variants from 47 CVD genes to build a predictive model of variant pathogenicity utilizing measures of evolutionary constraint, deleteriousness, splicogenicity, local pathogenicity, cardiac-specific expression, and population allele frequency. Performance was validated using variants for which the ClinVar pathogenicity assignment changed. Functional validation was assessed using prior studies in >900 identified VUS. The model utility was demonstrated using the Catheterization Genetics cohort. We identified a top-ranked model that accurately prioritized variants for which ClinVar clinical significance had changed (n=663; precision-recall area under the curve, 0.97) and performed well compared with conventional in silico methods. This model (CVD pathogenicity predictor) also had high accuracy in prioritizing VUS with functional effects in vivo (precision-recall area under the curve, 0.58). In Catheterization Genetics, there was a greater burden of higher CVD pathogenicity predictor scored VUS in individuals with dilated cardiomyopathy compared with controls (P=8.2×10-15). Of individuals in Catheterization Genetics who harbored highly ranked CVD pathogenicity predictor VUS meeting clinical pathogenicity criteria, 27.6% had clinical evidence of disease. Variant prioritization using this model increased genetic diagnosis in Catheterization Genetics participants with a known clinical diagnosis of hypertrophic cardiomyopathy (7.8%-27.2%). We present a cardiac-specific model for prioritizing variants underlying CVD syndromes with high performance in discriminating the pathogenicity of VUS in CVD genes. Variant review and phenotyping of individuals carrying VUS of pathogenic interest support the clinical utility of this model. This model could also have utility in filtering variants as part of large-scale genomic sequencing studies.

Prognostic role of gene variants in sudden cardiac death risk associated to paediatric hypertrophic cardiomyopathy

Abstract Introduction Genetic testing plays an important role in diagnosis of hypertrophic cardiomyopathy (HCM), being sarcomeric genes commonly involved, particularly MYBPC3. However, arrhythmic risk related to genotype remains unclear in adults and almost unexplored in children. Hence, current sudden cardiac death (SCD) risk calculators do not include genetic information. Purpose To analyse risk of arrhythmic events associated with causal variants in MYBPC3 respecting to other genes in a paediatric cohort with non-syndromic HCM from a cardiomyopathy referral centre. Methods This retrospective study included patients with non-syndromic HCM 0-18 years old between 2009-2022. Demographic, clinical, and genetic data were collected. Genetic variants pathogenicity followed American College of Medical Genetics criteria. A positive genetic test was considered if a likely pathogenic or pathogenic variant in HCM related genes was found. Considered outcomes were SCD or a major arrhythmic cardiac event (MACE) within 5 years follow-up: recovered SCD, appropriate ICD therapy, or sustained ventricular tachycardia. Some SCD-risk estimation models (in 5 years) as HCM Risk-SCD model for patients &amp;gt;=15 y.o and/or 55 kg, ESC Guidelines paediatric algorithm, and HCM Risk-Kids model were applied. Results 77 patients were diagnosed with non-syndromic HCM. A causal variant was found in 45/73 (62%). No significant differences in cardiac phenotype were found related to genes. 10/77 patients (13%) presented a MACE in 5 years follow-up. A positive genetic study was significantly associated with having an event (p=0.011). Most patients with a positive genetic test harboured MYBPC3 variants (21/45, 47%), however only 2 patients who suffered a MACE had a causal variant in MYBPC3. Those with causal variants in genes other than MYBPC3 presented more and earlier events (p=0.022). Risk of having a MACE during follow-up was higher when presenting causal variants in genes other than MYBPC3: Hazard Ratio 18.5 (95% CI 2.31, 148), p=0.006. Applying HCM Risk-SCD calculator, model had better predictive discrimination when variable "causal variant in gene other than MYBPC3" was added in multivariate analysis, with high-risk category &amp;gt;=6% (C-statistic =0.931 vs 0.844) and intermediate-risk category 4-6% (C-statistic =0.845 vs 0.514). Same occurred with ESC Guidelines algorithm, adding that variable to 2 risk factors category (C-statistic =0.881 vs 0.742) or 1 risk factor (C-statistic =0.844 vs 0.635). HCM Risk-Kids also improved its predictive discrimination adding the genetic value to high-risk category &amp;gt;=6% (C-statistic =0.896 vs 0.796) and intermediate-risk (C-statistic =0.821 vs 0.506). Conclusions Genotype may have prognostic value in SCD risk in HCM in children. Our results suggests that causal genetic variants in genes other than MYBPC3 can lead to higher risk of SCD. Genetic information might be considered for future models of arrhythmic risk in children with HCM.

Phenotype in Individuals with Heterozygous Rare Variants in LIPC Encoding Hepatic Lipase.

Hepatic lipase deficiency is a rare genetic condition caused by biallelic loss-of-function variants in the LIPC gene encoding hepatic lipase. These variants reduce or abolish the protein's lipolytic activity, resulting in elevated plasma lipids. The condition is classified as autosomal recessive, since dyslipidemia is inconsistently observed in heterozygous patients with only one LIPC variant. However, this has been concluded from historical studies encompassing a few families and having very small sample sizes. Here, we conduct a retrospective chart review of 46 heterozygous subjects, each harboring one rare pathogenic LIPC variant. We compare plasma levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and apolipoprotein B to those of matched controls without LIPC variants. Variant pathogenicity is classified according to the guidelines of the American College of Medical Genetics and Genomics. We observe that levels of total cholesterol, LDL-C, and triglycerides are significantly elevated in the LIPC variant heterozygotes, but HDL-C and apolipoprotein B are not. When filtering solely with respect to pathogenic or likely pathogenic variants, all lipid variables emerge as significantly elevated compared to controls. Thus, hepatic lipase deficiency may not necessarily be a recessive condition, but perhaps semi-dominant since individuals with one variant are phenotypically distinct from the controls. These hypothesis-generating findings regarding LIPC genetic variations observed in a clinical cohort should be evaluated in larger populations and databases.

Evaluating novel in silico tools for accurate pathogenicity classification in epilepsy-associated genetic missense variants.

Determining the pathogenicity of missense variants in clinical genetic tests for individuals with epilepsy is crucial for guiding personalized treatment. However, achieving a definitive pathogenic classification remains challenging, with most missense variants still classified as variants of uncertain significance (VUS) and with the availability of many computational tools which may provide conflicting predictions. Here, we aim to evaluate the performance of state-of-the-art computational tools in pathogenicity prediction of missense variants in epilepsy-associated genes. This will assist in selecting the most appropriate tool and critically assess their use in clinical setting. We assessed the performance of nine in silico pathogenicity prediction tools for missense variants in epilepsy-associated genes on three carefully curated data sets. The first two data sets comprise missense variants in epilepsy associated genes that have been uploaded to ClinVar in the last year and were, therefore, not part of the training set of any of the nine considered tools. These two data sets are based on two different lists of epilepsy-associated genes and comprise ~700 and ~ 250 missense variants, respectively. The third data set includes ~400 missense variants within epilepsy-associated genes for which the functional effects have been determined experimentally and are therefore used here to infer pathogenicity. These three data sets represent the best available approximation to blind and independent test sets. Among the nine assessed tools, AlphaMissense (area under the curve [AUC]: .93, .88, and .95) and REVEL (AUC: .93, .88, and .93) showed the best classification performance, also outperforming other tools in the number of classified variants. We show which recently developed prediction tools achieve higher performance in epilepsy-associated genes and should be integrated, therefore, into the American College of Medical Genetics and Genomics/Association of Molecular Pathology (AGMC/AMP) variant classification process. Periodic reevaluation of genetic test results with newly developed or updated tools should be incorporated into standard clinical practice to improve diagnostic yield and better inform precision medicine.

Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.

Deep learning models for predicting variant pathogenicity have not been thoroughly evaluated on real-world clinical phenotypes. Here, we apply state-of-the-art pathogenicity prediction models to hereditary breast cancer gene variants in UK Biobank participants. Model predictions for missense variants in BRCA1, BRCA2 and PALB2, but not ATM and CHEK2, were associated with breast cancer risk. However, deep learning models had limited clinical utility when specifically applied to variants of uncertain significance.