Genome‐Wide Assessment of Shared Genetic Architecture Between Rheumatoid Arthritis and Cardiovascular Diseases

作者：Yanjun Guo, Wonil Chung, Zhilei Shan, Zhaozhong Zhu, Karen H. Costenbader, Liming Liang · 发表于：Journal of the American Heart Association · 年份：2023 · DOI：10.1161/jaha.123.030211 · 被引用次数：10 · 研究领域：Rheumatoid Arthritis Research and Therapies、Genetic Associations and Epidemiology、Bioinformatics and Genomic Networks

Background Patients with rheumatoid arthritis (RA) have a 2‐ to 10‐fold increased risk of cardiovascular disease (CVD), but the biological mechanisms and existence of causality underlying such associations remain to be investigated. We aimed to investigate the genetic associations and underlying mechanisms between RA and CVD by leveraging large‐scale genomic data and genetic cross‐trait analytic approaches. Methods and Results Within UK Biobank data, we examined the genetic correlation, shared genetics, and potential causality between RA (N cases =6754, N controls =452 384) and cardiovascular diseases (CVD, N cases =44 238, N controls =414 900) using linkage disequilibrium score regression, cross‐trait meta‐analysis, and Mendelian randomization. We observed significant genetic correlations of RA with myocardial infarction (r g :0.40 [95% CI, 0.24–0.56), angina (r g :0.42 [95% CI, 0.28–0.56]), coronary heart diseases (r g :0.41 [95% CI, 0.27–0.55]), and CVD (r g :0.43 [95% CI, 0.29–0.57]) after correcting for multiple testing ( P <0.05/5). When stratified by frequent use of analgesics, we found increased genetic correlation between RA and CVD among participants without aspirin usage (r g :0.54 [95% CI, 0.30–0.78] for angina; P value =6.69×10 −6 ) and among participants with paracetamol usage (r g :0.75 [95% CI, 0.20–1.29] for myocardial infarction; P value =8.90×10 −3 ), whereas others remained similar. Cross‐trait meta‐analysis identified 9 independent shared loci between ...