Integrating Multi-Omics Data to Identify Novel Disease Genes and Single-Neucleotide Polymorphisms.

ABSTRACT: Stroke ranks the second leading cause of death among people over the age of 60 in the world. Stroke is widely regarded as a complex disease that is affected by genetic and environmental factors. Evidence from twin and family studies suggests that genetic factors may play an important role in its pathogenesis. Therefore, research on the genetic association of susceptibility genes can help understand the mechanism of stroke. Genome-wide association study (GWAS) has found a large number of stroke-related loci, but their mechanism is unknown. In order to explore the function of single-nucleotide polymorphisms (SNPs) at the molecular level, in this paper, we integrated 8 GWAS datasets with brain expression quantitative trait loci (eQTL) dataset to identify SNPs and genes which are related to fo

SUBMITTER: Zhao S 

PROVIDER: S-EPMC6993083 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature