{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["3(11)"],"submitter":["Kain J"],"pubmed_abstract":["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"],"journal":["Cell reports. Medicine"],"pagination":["100805"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9729823"],"repository":["biostudies-literature"],"pubmed_title":["Mendelian randomization and pathway analysis demonstrate shared genetic associations between lupus and coronary artery disease."],"pmcid":["PMC9729823"],"pubmed_authors":["Langefeld CD","Marion MC","Kain J","Lipsky PE","Owen KA","Grammer AC"],"additional_accession":[]},"is_claimable":false,"name":"Mendelian randomization and pathway analysis demonstrate shared genetic associations between lupus and coronary artery disease.","description":"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","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2026-05-28T02:58:00.091Z","creation":"2025-04-19T12:11:14.451Z"},"accession":"S-EPMC9729823","cross_references":{"pubmed":["36334592"],"doi":["10.1016/j.xcrm.2022.100805"]}}