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

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 () and Xiaoping Miao ()
Additional contact information
Caibo Ning: Wuhan University
Linyun Fan: Wuhan University
Meng Jin: Huazhong University of Science and Technology
Wenji Wang: SenseTime Research
Zhiqiang Hu: SenseTime Research
Yimin Cai: Wuhan University
Liangkai Chen: Huazhong University of Science and Technology
Zequn Lu: Wuhan University
Ming Zhang: Wuhan University
Can Chen: Wuhan University
Yanmin Li: Wuhan University
Fuwei Zhang: Wuhan University
Wenzhuo Wang: Wuhan University
Yizhuo Liu: Wuhan University
Shuoni Chen: Wuhan University
Yuan Jiang: Wuhan University
Chunyi He: Wuhan University
Zhuo Wang: Wuhan University
Xu Chen: Wuhan University
Hanting Li: Wuhan University
Gaoyuan Li: Wuhan University
Qianying Ma: Wuhan University
Hui Geng: Wuhan University
Wen Tian: Wuhan University
Heng Zhang: Wuhan University
Bo Liu: Huazhong University of Science and Technology
Qing Xia: SenseTime Research
Xiaojun Yang: Zhongnan Hospital of Wuhan University, Wuhan University
Zhongchun Liu: Renmin Hospital of Wuhan University
Bin Li: Wuhan University
Ying Zhu: Wuhan University
Xiangpan Li: Renmin Hospital of Wuhan University
Shaoting Zhang: SenseTime Research
Jianbo Tian: Wuhan University
Xiaoping Miao: Wuhan University

Nature Communications, 2023, vol. 14, issue 1, 1-15

Abstract: 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 individuals from the UK Biobank with cardiac magnetic resonance (CMR) imaging. Genome-wide association studies of CMR-derived 12 LVRWTs identified 72 significant genetic loci associated with at least one LVRWT phenotype (P

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-43771-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43771-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-43771-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().