Identifying DNA methylation sites affecting drug response using electronic health record-derived GWAS summary statistics

Pac Symp Biocomput. 2025:30:457-472.

Abstract

Adverse drug responses (ADRs) result in over 7,000 deaths annually. Pharmacogenomic studies have shown that many ADRs are partially attributable to genetics. However, emerging data suggest that epigenetic mechanisms, such as DNA methylation (DNAm) also contribute to this variance. Understanding the impact of DNA methylation on drug response may minimize ADRs and improve the personalization of drug regimens. In this work, we identify DNA methylation sites that likely impact drug response phenotypes for anticoagulant and cardiometabolic drugs. We use instrumental variable analysis to integrate genome-wide association study (GWAS) summary statistics derived from electronic health records (EHRs) within the U.K. Biobank (UKBB) with methylation quantitative trait loci (mQTL) data from the Genetics of DNA Methylation Consortium (GoDMC). This approach allows us to achieve a robust sample size using the largest publicly available pharmacogenomic GWAS. For warfarin, we find 71 DNAm sites. Of those, 8 are near the gene VKORC1 and 48 are on chromosome 6 near the human leukocyte antigen (HLA) gene family. We also find 2 warfarin DNAm sites near the genes CYP2C9 and CYP2C19. For statins, we identify 17 DNAm sites. Eight are near the APOB gene, which encodes a carrier protein for low-density lipoprotein cholesterol (LDL-C). We find no novel significant epigenetic results for metformin.

MeSH terms

  • Anticoagulants / therapeutic use
  • Computational Biology*
  • DNA Methylation*
  • Drug-Related Side Effects and Adverse Reactions / genetics
  • Electronic Health Records* / statistics & numerical data
  • Epigenesis, Genetic
  • Genome-Wide Association Study* / statistics & numerical data
  • Humans
  • Pharmacogenetics / statistics & numerical data
  • Quantitative Trait Loci*
  • Warfarin* / therapeutic use

Substances

  • Warfarin
  • Anticoagulants