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

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 individua...

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Detalles Bibliográficos
Autores principales: Ning, Caibo, Fan, Linyun, Jin, Meng, Wang, Wenji, Hu, Zhiqiang, Cai, Yimin, Chen, Liangkai, Lu, Zequn, Zhang, Ming, Chen, Can, Li, Yanmin, Zhang, Fuwei, Wang, Wenzhuo, Liu, Yizhuo, Chen, Shuoni, Jiang, Yuan, He, Chunyi, Wang, Zhuo, Chen, Xu, Li, Hanting, Li, Gaoyuan, Ma, Qianying, Geng, Hui, Tian, Wen, Zhang, Heng, Liu, Bo, Xia, Qing, Yang, Xiaojun, Liu, Zhongchun, Li, Bin, Zhu, Ying, Li, Xiangpan, Zhang, Shaoting, Tian, Jianbo, Miao, Xiaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689443/
https://www.ncbi.nlm.nih.gov/pubmed/38036550
http://dx.doi.org/10.1038/s41467-023-43771-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689443/
https://www.ncbi.nlm.nih.gov/pubmed/38036550
http://dx.doi.org/10.1038/s41467-023-43771-5

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