Regulatory mechanisms at common variants

In this set of projects, I integrate information from GWAS with epigenomic data to prioritize causal genes, and get closer to understanding mechanisms through which these genetic loci influence complex traits. I primarily use eQTLs, chromatin interaction, in silico prediction methods, ChIP-Seq data to prioritize GWAS loci and find patterns of enrichment at these loci.

Our work in this domain was recently published/pre-printed:

Ramdas S, Judd J, Graham S, Kanoni S, et al. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. https://doi.org/10.1101/2021.12.07.470215

Vujkovic M, Ramdas S et al. A genome-wide association study for nonalcoholic fatty liver disease identifies novel genetic loci and trait-relevant candidate genes in the Million Veteran Program