Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease

Comput Math Methods Med. 2021 Aug 17;2021:7036592. doi: 10.1155/2021/7036592. eCollection 2021.ABSTRACTSignificant differences may exist among different descents, but the current studies are mainly based on European populations. In the present study, we analyzed the population-specific differences of coronary artery disease (CAD) between European and East Asian descents. In stage 1, we identified CAD susceptibility genes by gene-based tests in European and East Asian populations. We identified two novel susceptibility genes for CAD, namely, CUX2 and OAS3. In stage 2, we carried out meta-analyses for the population-specific variants. rs599839 (PSRC1) represented a protective variant for CAD in East Asian populations (ORASN = 0.72. 95% CI: 0.63-0.81) but a risk factor in European populations (OREUR = 1.13, 95% CI: 0.93-1.36). In stage 3, we enriched the risk genes and explored the population-specific differences in Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), regulatory element, tissues, and cell types. In stage 4, in order to predict genes that showed pleiotropic/potentially causal association with CAD, we integrated summary-level data from independent genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) by using summary data-based Mendelian randomization (SMR). The results showed that NBEAL1 and FGD6 were population-specific pleiotropic/causal genes. Although some potential mutations and risk genes of CAD are shared, it ...

Source: Computational and Mathematical Methods in Medicine - August 27, 2021 Category: Statistics Authors: Yang Hu Shizheng Qiu Liang Cheng Source Type: research