Jun 1, 2020

Identification of pleiotropic genes between risk factors of stroke by multivariate metaCCA analysis

Molecular Genetics and Genomics : MGG
Zun WangHongwen Deng

Abstract

Genome-wide association studies (GWASs) have identified more than 20 genetic loci as risk predictors associated with stroke. However, these studies were generally performed for single-trait and failed to consider the pleiotropic effects of these risk genes among the multiple risk factors for stroke. In this study, we applied a novel metaCCA method followed by gene-based VEGAS2 analysis to identify the risk genes for stroke that may overlap between seven correlated risk factors (including atrial fibrillation, hypertension, coronary artery disease, heart failure, diabetes, body mass index, and total cholesterol level) by integrating seven corresponding GWAS data. We detected 20 potential pleiotropic genes that may be associated with multiple risk factors of stroke. Furthermore, using gene-to-trait pathway analysis, we suggested six potential risk genes (FUT8, GMIP, PLA2G6, PDE3A, SMARCA4, SKAPT) that may affect ischemic or hemorrhage stroke through multiple intermediate factors such as MAPK family. These findings provide novel insight into the genetic determinants contributing to the concurrent development of biological conditions that may influence stroke susceptibility, and also indicate some potential therapeutic targets that ...Continue Reading

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Mentioned in this Paper

Genetic Loci
Disease Susceptibility
Cholesterol
FUT8
Genome-Wide Association Study
Study
Group VI phospholipase A2
Pleiotropic Gene
Atrial Fibrillation
Hypertensive Disease

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