An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins

• Published in: Nature communications
• Main Authors: Yuan, Wei, Xia, Yudong, Bell, Christopher G, Yet, Idil, Ferreira, Teresa, Ward, Kirsten J, Gao, Fei, Loomis, A. Katrina, Hyde, Craig L, Wu, Honglong, Lu, Hanlin, Liu, Yuan, Small, Kerrin S, Viñuela, Ana, Morris, Andrew P, Berdasco, María, Esteller, Manel, Brosnan, M. Julia, Deloukas, Panos, McCarthy, Mark I, John, Sally L, Bell, Jordana T, Wang, Jun, Spector, Tim D
• Format: Journal Article
• Language: English
• Published: Nature Publishing Group 12.12.2014
• Subjects: Bessons; Diabetes; Diabetis; Epigenetics; Epigenètica; Twins
• ISSN: 2041-1723

DNA methylation has a great potential for understanding the aetiology of common complex traits such as Type 2 diabetes (T2D). Here we perform genome-wide methylated DNA immunoprecipitation sequencing (MeDIP-seq) in whole-blood-derived DNA from 27 monozygotic twin pairs and follow up results with replication and integrated omics analyses. We identify predominately hypermethylated T2D-related differentially methylated regions(DMRs) and replicate the top signals in 42 unrelated T2D cases and 221 controls. The strongest signal is in the promoter of the MALT1 gene, involved in insulin and glycaemic pathways, and related to taurocholate levels in blood. Integrating the DNA methylome findings with T2D GWAS meta-analysis results reveals a strong enrichment for DMRs in T2D-susceptibility loci. We also detect signals specific to T2D-discordant twins in the GPR61 and PRKCB genes. These replicated T2D associations reflect both likely causal and consequential pathways of the disease. The analysis indicates how an integrated genomics and epigenomics approach, utilizing an MZ twin design, can provide pathogenic insights as well as potential drug targets and biomarkers for T2D and other complex traits.