孟德尔随机化
多效性
冠状动脉疾病
遗传关联
全基因组关联研究
SNP公司
单核苷酸多态性
系统性红斑狼疮
疾病
遗传学
生物
候选基因
生物信息学
计算生物学
医学
基因
内科学
遗传变异
表型
基因型
作者
Jessica Kain,Katherine A. Owen,Miranda C. Marion,Carl D. Langefeld,Amrie C. Grammer,Peter E. Lipsky
标识
DOI:10.1016/j.xcrm.2022.100805
摘要
Coronary artery disease (CAD) is a leading cause of death in patients with systemic lupus erythematosus (SLE). Despite clinical evidence supporting an association between SLE and CAD, pleiotropy-adjusted genetic association studies are limited and focus on only a few common risk loci. Here, we identify a net positive causal estimate of SLE-associated non-HLA SNPs on CAD by traditional Mendelian randomization (MR) approaches. Pathway analysis using SNP-to-gene mapping followed by unsupervised clustering based on protein-protein interactions (PPIs) identifies biological networks composed of positive and negative causal sets of genes. In addition, we confirm the casual effects of specific SNP-to-gene modules on CAD using only SNP mapping to each PPI-defined functional gene set as instrumental variables. This PPI-based MR approach elucidates various molecular pathways with causal implications between SLE and CAD and identifies biological pathways likely causative of both pathologies, revealing known and novel therapeutic interventions for managing CAD in SLE.
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