Amena Keshawarz, Helena Bui, Roby Joehanes, Jiantao Ma, Chunyu Liu, Tianxiao Huan, Shih-Jen Hwang, Brandon Tejada, Meera Sooda, Paul Courchesne, Peter J Munson, Cumhur Y Demirkale, Chen Yao, Nancy L Heard-Costa, Achilleas N Pitsillides, Honghuang Lin, Ching-Ti Liu, Yuxuan Wang, Gina M Peloso, Jessica Lundin, Jeffrey Haessler, Zhaohui Du, Michael Cho, Craig P Hersh, Peter Castaldi, Laura M Raffield, Jia Wen, Yun Li, Alexander P Reiner, Mike Feolo, Nataliya Sharopova, Ramachandran S Vasan, Dawn L DeMeo, April P Carson, Charles Kooperberg, Daniel Levy
Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.e., gene transcripts associated with a CpG) were enriched in biological pathways related to cell signaling, and for 1208 clinical traits (enrichment false discovery rate [FDR] ≤ 0...
August 10, 2023: Scientific Reports