The penetrance of rare variants in cardiomyopathy-associated genes: A cross-sectional approach to estimating penetrance for secondary findings

外显率 遗传学 肥厚性心肌病 等位基因 生物 基因检测 基因 医学 表型 内科学
作者
Kathryn A. McGurk,Xiaolei Zhang,Pantazis Theotokis,Kate Thomson,Andrew Harper,Rachel Buchan,Erica Mazaika,Elizabeth Ormondroyd,W. Wright,Daniela Macaya,Chee Jian Pua,Birgit Funke,Daniel G. MacArthur,Sanjay K. Prasad,Stuart A. Cook,Mona Allouba,Yasmine Aguib,Magdi H. Yacoub,Declan P. O’Regan,Paul Barton,Hugh Watkins,Leonardo Bottolo,James S. Ware
出处
期刊:American Journal of Human Genetics [Elsevier]
卷期号:110 (9): 1482-1495 被引量:4
标识
DOI:10.1016/j.ajhg.2023.08.003
摘要

Understanding the penetrance of pathogenic variants identified as secondary findings (SFs) is of paramount importance with the growing availability of genetic testing. We estimated penetrance through large-scale analyses of individuals referred for diagnostic sequencing for hypertrophic cardiomyopathy (HCM; 10,400 affected individuals, 1,332 variants) and dilated cardiomyopathy (DCM; 2,564 affected individuals, 663 variants), using a cross-sectional approach comparing allele frequencies against reference populations (293,226 participants from UK Biobank and gnomAD). We generated updated prevalence estimates for HCM (1:543) and DCM (1:220). In aggregate, the penetrance by late adulthood of rare, pathogenic variants (23% for HCM, 35% for DCM) and likely pathogenic variants (7% for HCM, 10% for DCM) was substantial for dominant cardiomyopathy (CM). Penetrance was significantly higher for variant subgroups annotated as loss of function or ultra-rare and for males compared to females for variants in HCM-associated genes. We estimated variant-specific penetrance for 316 recurrent variants most likely to be identified as SFs (found in 51% of HCM- and 17% of DCM-affected individuals). 49 variants were observed at least ten times (14% of affected individuals) in HCM-associated genes. Median penetrance was 14.6% (±14.4% SD). We explore estimates of penetrance by age, sex, and ancestry and simulate the impact of including future cohorts. This dataset reports penetrance of individual variants at scale and will inform the management of individuals undergoing genetic screening for SFs. While most variants had low penetrance and the costs and harms of screening are unclear, some individuals with highly penetrant variants may benefit from SFs.
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