Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy

Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy

Abstract Left ventricular regional wall thickness (LVRWT) is an independent predictor of morbidity and mortality in cardiovascular diseases (CVDs). To identify specific genetic influences on individual LVRWT, we established a novel deep learning algorithm to calculate 12 LVRWTs accurately in 42,194...

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Bibliographic Details
Main Authors: Caibo Ning, Linyun Fan, Meng Jin, Wenji Wang, Zhiqiang Hu, Yimin Cai, Liangkai Chen, Zequn Lu, Ming Zhang, Can Chen, Yanmin Li, Fuwei Zhang, Wenzhuo Wang, Yizhuo Liu, Shuoni Chen, Yuan Jiang, Chunyi He, Zhuo Wang, Xu Chen, Hanting Li, Gaoyuan Li, Qianying Ma, Hui Geng, Wen Tian, Heng Zhang, Bo Liu, Qing Xia, Xiaojun Yang, Zhongchun Liu, Bin Li, Ying Zhu, Xiangpan Li, Shaoting Zhang, Jianbo Tian, Xiaoping Miao
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-43771-5

Internet

https://doi.org/10.1038/s41467-023-43771-5

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