Chromatin architecture around stroke haplotypes provides evidence that genetic risk is conferred through vascular cells.
Vincent M TutinoCathleen C KuoNaval AvasthiHamid H RaiMuhammed WaqasAdnan H SiddiquiJames N JarvisKerry E PoppenbergPublished in: Epigenomics (2022)
Introduction: Genome-wide association studies (GWAS) have identified numerous stroke-associated SNPs. To understand how SNPs affect gene expression related to increased stroke risk, we studied epigenetic landscapes surrounding 26 common, validated stroke-associated loci. Methods: We mapped the SNPs to linkage disequilibrium (LD) blocks and examined H3K27ac, H3K4me1, H3K9ac, and H3K4me3 histone marks and transcription-factor binding-sites in pathologically relevant cell types (hematopoietic and vascular cells). Hi-C data were used to identify topologically associated domains (TADs) encompassing the LD blocks and overlapping genes. Results: Fibroblasts, smooth muscle, and endothelial cells showed significant enrichment for enhancer-associated marks within stroke-associated LD blocks. Genes within encompassing TADs reflected vessel homeostasis, cellular turnover, and enzymatic activity. Conclusions: Stroke-associated genetic variants confer risk predominantly through vascular cells rather than hematopoietic cell types.
Keyphrases
- genome wide
- atrial fibrillation
- gene expression
- dna methylation
- induced apoptosis
- transcription factor
- genome wide association
- cell cycle arrest
- smooth muscle
- endothelial cells
- cerebral ischemia
- oxidative stress
- stem cells
- cell therapy
- cell death
- endoplasmic reticulum stress
- machine learning
- artificial intelligence
- electronic health record
- big data
- mesenchymal stem cells
- hydrogen peroxide
- cell proliferation
- deep learning
- vascular endothelial growth factor
- subarachnoid hemorrhage
- genome wide identification