Multi‐Omic Insight Into the Molecular Networks in the Pathogenesis of Coronary Artery Disease

Our findings provide multi-omics evidence suggesting that <i>TAGLN2</i>, <i>APOB</i>, <i>GIP</i>, <i>DHX58</i>, and <i>SWAP70</i> genes are associated with CAD risk. This work provides novel insights into the molecular mechanisms of CAD and highlights the potential of integrating multi-omics data to uncover potential causal relationships that cannot be fully captured by traditional genome-wide association studies.

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Publication Details

Journal
Journal of the American Heart Association
Published
2025-03-26
DOI
https://doi.org/10.1161/jaha.124.037203
Citations
5
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
9.09
Controls
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article

Multi‐Omic Insight Into the Molecular Networks in the Pathogenesis of Coronary Artery Disease

Hong-Dan Fan, Jianlin Du, Jing Huang, Qinghua Fang et al.
5 citations
Journal of the American Heart Association
Genetic Associations and Epidemiology
9.09
article

Multi‐Omic Insight Into the Molecular Networks in the Pathogenesis of Coronary Artery Disease

Hong-Dan Fan, Jianlin Du, Jing Huang, Qinghua Fang, Qiaoqiao Li, Muzi Zhang, Zhengzhong Zhou
article en
5 citations

Abstract

Our findings provide multi-omics evidence suggesting that <i>TAGLN2</i>, <i>APOB</i>, <i>GIP</i>, <i>DHX58</i>, and <i>SWAP70</i> genes are associated with CAD risk. This work provides novel insights into the molecular mechanisms of CAD and highlights the potential of integrating multi-omics data to uncover potential causal relationships that cannot be fully captured by traditional genome-wide association studies.

Journal of the American Heart AssociationVol. 14(7)
Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 2%
Genetic Associations and Epidemiology
9.09
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