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

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Publisher Hindawi
Date 2021 Aug 27
PMID 34447459
Citations 24
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Abstract

Significant 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, and . In stage 2, we carried out meta-analyses for the population-specific variants. rs599839 () represented a protective variant for CAD in East Asian populations (OR = 0.72. 95% CI: 0.63-0.81) but a risk factor in European populations (OR = 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 and were population-specific pleiotropic/causal genes. Although some potential mutations and risk genes of CAD are shared, it is still of great significance to elucidate the genetic differences among different populations. Our analysis provides a better understanding of the pathogenic mechanisms and potential therapeutic targets for CAD.

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References
1.
Hixson J, Jun G, Shimmin L, Wang Y, Yu G, Mao C . Whole Exome Sequencing to Identify Genetic Variants Associated with Raised Atherosclerotic Lesions in Young Persons. Sci Rep. 2017; 7(1):4091. PMC: 5481334. DOI: 10.1038/s41598-017-04433-x. View

2.
Khera A, Kathiresan S . Genetics of coronary artery disease: discovery, biology and clinical translation. Nat Rev Genet. 2017; 18(6):331-344. PMC: 5935119. DOI: 10.1038/nrg.2016.160. View

3.
Liu J, McRae A, Nyholt D, Medland S, Wray N, Brown K . A versatile gene-based test for genome-wide association studies. Am J Hum Genet. 2010; 87(1):139-45. PMC: 2896770. DOI: 10.1016/j.ajhg.2010.06.009. View

4.
Buniello A, MacArthur J, Cerezo M, Harris L, Hayhurst J, Malangone C . The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2018; 47(D1):D1005-D1012. PMC: 6323933. DOI: 10.1093/nar/gky1120. View

5.
Schunkert H, Konig I, Kathiresan S, Reilly M, Assimes T, Holm H . Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet. 2011; 43(4):333-8. PMC: 3119261. DOI: 10.1038/ng.784. View