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Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of consortium disease cohorts and population controls
File | Description | Size | Format | |
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s41436-020-00946-5.pdf | Published version | 2.23 MB | Adobe PDF | View/Open |
Title: | Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of consortium disease cohorts and population controls |
Authors: | Ware, J Mazzarotto, F |
Item Type: | Journal Article |
Abstract: | PURPOSE:Stringent variant interpretation guidelines can lead to high rates of variants of uncertain significance (VUS) for genetically heterogeneous disease like long QT syndrome (LQTS) and Brugada syndrome (BrS). Quantitative and disease-specific customization of American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines can address this false negative rate. METHODS:We compared rare variant frequencies from 1847 LQTS (KCNQ1/KCNH2/SCN5A) and 3335 BrS (SCN5A) cases from the International LQTS/BrS Genetics Consortia to population-specific gnomAD data and developed disease-specific criteria for ACMG/AMP evidence classes-rarity (PM2/BS1 rules) and case enrichment of individual (PS4) and domain-specific (PM1) variants. RESULTS:Rare SCN5A variant prevalence differed between European (20.8%) and Japanese (8.9%) BrS patients (p = 5.7 × 10-18) and diagnosis with spontaneous (28.7%) versus induced (15.8%) Brugada type 1 electrocardiogram (ECG) (p = 1.3 × 10-13). Ion channel transmembrane regions and specific N-terminus (KCNH2) and C-terminus (KCNQ1/KCNH2) domains were characterized by high enrichment of case variants and >95% probability of pathogenicity. Applying the customized rules, 17.4% of European BrS and 74.8% of European LQTS cases had (likely) pathogenic variants, compared with estimated diagnostic yields (case excess over gnomAD) of 19.2%/82.1%, reducing VUS prevalence to close to background rare variant frequency. CONCLUSION:Large case-control data sets enable quantitative implementation of ACMG/AMP guidelines and increased sensitivity for inherited arrhythmia genetic testing. |
Issue Date: | 7-Sep-2020 |
Date of Acceptance: | 11-Aug-2020 |
URI: | http://hdl.handle.net/10044/1/82315 |
DOI: | 10.1038/s41436-020-00946-5 |
ISSN: | 1098-3600 |
Publisher: | American College of Medical Genetics and Genomics |
Start Page: | 47 |
End Page: | 58 |
Journal / Book Title: | Genetics in Medicine |
Volume: | 23 |
Copyright Statement: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
Sponsor/Funder: | Wellcome Trust Rosetrees Trust British Heart Foundation |
Funder's Grant Number: | 107469/Z/15/Z M735 RE/18/4/34215 |
Keywords: | Science & Technology Life Sciences & Biomedicine Genetics & Heredity variant interpretation LQTS Brugada ACMG/AMP guidelines MUTATIONS ACMG/AMP guidelines Brugada LQTS variant interpretation Nantes Referral Center for inherited cardiac arrhythmia Genetics & Heredity 0604 Genetics 1103 Clinical Sciences |
Publication Status: | Published |
Online Publication Date: | 2020-09-07 |
Appears in Collections: | National Heart and Lung Institute Institute of Clinical Sciences Faculty of Medicine |
This item is licensed under a Creative Commons License