Abdominal aortic aneurysm and cardiometabolic traits share strong genetic susceptibility to lipid metabolism and inflammation

被引:15
作者
Zheng, Shufen [1 ,2 ]
Tsao, Philip S. [3 ,4 ,5 ]
Pan, Cuiping [1 ,2 ]
机构
[1] Greater Bay Area Inst Precis Med Guangzhou, Ctr Intelligent Med Res, Guangzhou, Peoples R China
[2] Fudan Univ, Intelligent Med Inst, Ctr Evolutionary Biol, Sch Life Sci, Shanghai, Peoples R China
[3] Stanford Univ, Sch Med, Div Cardiovasc Med, Stanford, CA 94305 USA
[4] Stanford Univ, Stanford Cardiovasc Inst, Stanford, CA 94305 USA
[5] VA Palo Alto Hlth Care Syst, Palo Alto, CA 94304 USA
基金
中国国家自然科学基金;
关键词
GENOME-WIDE ASSOCIATION; CORONARY-ARTERY-DISEASE; MENDELIAN RANDOMIZATION; VARIANTS; LIPOPROTEIN; RISK; CELL; METAANALYSIS; GROWTH; GWAS;
D O I
10.1038/s41467-024-49921-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Abdominal aortic aneurysm has a high heritability and often co-occurs with other cardiometabolic disorders, suggesting shared genetic susceptibility. We investigate this commonality leveraging recent GWAS studies of abdominal aortic aneurysm and 32 cardiometabolic traits. We find significant genetic correlations between abdominal aortic aneurysm and 21 of the cardiometabolic traits investigated, including causal relationships with coronary artery disease, hypertension, lipid traits, and blood pressure. For each trait pair, we identify shared causal variants, genes, and pathways, revealing that cholesterol metabolism and inflammation are shared most prominently. Additionally, we show the tissue and cell type specificity in the shared signals, with strong enrichment across traits in the liver, arteries, adipose tissues, macrophages, adipocytes, and fibroblasts. Finally, we leverage drug-gene databases to identify several lipid-lowering drugs and antioxidants with high potential to treat abdominal aortic aneurysm with comorbidities. Our study provides insight into the shared genetic mechanism between abdominal aortic aneurysm and cardiometabolic traits, and identifies potential targets for pharmacological intervention. Here, the authors identify SNPs, genes, pathways, cells and tissues shared between abdominal aortic aneurysm and 21 cardiometabolic traits, generating a reference for common mechanisms and identifying drugs for comorbid conditions.
引用
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页数:14
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