Transcriptomics

Dataset Information

0

Genetic regulatory mechanisms of smooth muscle cells map to coronary artery disease risk loci


ABSTRACT: Coronary artery disease (CAD) is the leading cause of death globally. Genome-wide association studies (GWAS) have identified more than 130 independent loci that influence CAD risk, most of which reside in non-coding regions of the genome. To interpret these loci, we generated transcriptome and whole-genome datasets using human coronary artery smooth muscle cells (HCASMC) from 52 unrelated donors, as well as ATAC-seq epigenomic datasets on a subset of 8 donors. Through systematic comparison with publicly available datasets from GTEx and ENCODE projects, we identify transcriptomic, epigenetic, and genetic regulatory mechanisms specific to HCASMC. We validate the relevance of HCASMC to CAD risk using transcriptomic and epigenomic level analyses. By jointly modeling eQTL and GWAS datasets, we identified five genes (SIPA1, TCF21, SMAD3, FES, and PDGFRA) that modulate CAD risk through HCASMC, all of which have biologically relevant functional roles in vascular remodeling. Comparison with GTEx data suggests that SIPA1 appears to influence CAD risk predominantly through HCASMC, while other annotated genes may have multiple cell targets. Together, these results provide new biological insights into the regulation of a critical vascular cell type associated with CAD in human populations.

ORGANISM(S): Homo sapiens

PROVIDER: GSE113348 | GEO | 2018/08/09

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-07-06 | E-GEOD-72696 | biostudies-arrayexpress
2023-11-14 | GSE225650 | GEO
2016-07-06 | GSE72696 | GEO
2015-04-12 | E-GEOD-61369 | biostudies-arrayexpress
2018-09-11 | GSE115317 | GEO
2017-04-12 | GSE85565 | GEO
2021-12-14 | GSE175621 | GEO
2022-01-24 | GSE188422 | GEO
2019-01-16 | GSE117676 | GEO
2019-07-29 | GSE131779 | GEO