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Dataset Information

Integrative analysis of transcriptome-wide association study and gene expression profiling identifies candidate genes associated with stroke.


ABSTRACT:

Background

Stroke is a major public health burden worldwide. Although genetic variation is known to play a role in the pathogenesis of stroke, the specific pathogenic mechanisms are still unclear. Transcriptome-wide association studies (TWAS) is a powerful approach to prioritize candidate risk genes underlying complex traits. However, this approach has not been applied in stroke.

Methods

We conducted an integrative analysis of TWAS using data from the MEGASTROKE Consortium and gene expression profiling to identify candidate genes for the pathogenesis of stroke. Gene ontology (GO) enrichment analysis was also conducted to detect functional gene sets.

Results

The TWAS identified 515 transcriptome-wide significant tissue-specific genes, among which SLC25A44 (P<

SUBMITTER: Yang J 

PROVIDER: S-EPMC6673425 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature