医学
肥厚性心肌病
遗传建筑学
心脏病学
内科学
心肌病
心力衰竭
人口
环境卫生
数量性状位点
作者
Soledad García-Hernández,Luis de la Higuera Romero,Adrián Fernández,María Luisa Peña‐Peña,Nerea Mora Ayestarán,María Teresa Basurte-Elorz,José M. Larrañaga‐Moreira,I Cardenas Reyes,Eduardo Villacorta,María Valverde-Gómez,A Bautista-Paves,Elena Villanueva,Martín Ortiz-Genga,Alex Lipov,Noël Brögger,María Sabater‐Molina,Eduardo Moreno Escobar,Luis Ruiz-Guerrero,Petros Syrris,Xusto Fernández
出处
期刊:Circulation
[Lippincott Williams & Wilkins]
日期:2025-08-29
卷期号:152 (15): 1060-1075
被引量:14
标识
DOI:10.1161/circulationaha.125.074529
摘要
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a genetically heterogeneous disorder linked primarily to rare variants in sarcomeric genes, although recently certain nonsarcomeric genes have emerged as important contributors. Nonmendelian genetic variants with reproducible moderate-effect sizes and low penetrance, intermediate-effect variants (IEVs), can play a crucial role in modulating disease expression. Understanding the clinical impact of IEVs is crucial to unravel the complex genetic architecture of HCM. METHODS: ). Enrichment of intermediate frequency missense variants was evaluated in 10 981 patients with HCM, 4030 internal controls of European-ancestry, and 590 000 external controls from gnomAD non-Finnish Europeans. The population-attributable fraction was calculated to assess contribution of IEVs to HCM. Age-related disease penetrance, phenotypic severity (left ventricular maximum wall thickness), and major adverse cardiac events were analyzed in 11 991 HCM cases of the whole cohort according to 5 genetic groups: genotype negative, isolated IEV, monogenic, monogenic+IEV, and double monogenic. RESULTS: <0.0001). CONCLUSIONS: IEVs are present in 6.1% of HCM cases and account for 4.8% of HCM genetic burden. IEVs also influence disease severity and outcomes, particularly when combined with monogenic disease-causing variants. Evaluation of IEVs should be considered when HCM genetic testing is performed.
科研通智能强力驱动
Strongly Powered by AbleSci AI