0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract 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.
Yuan Wei, Yudong Xia, Christopher G. Bell, İdil Yet, Teresa Ferreira, Kirsten Ward, Fei Gao, A. Katrina Loomis, Craig Hyde, Honglong Wu, Hanlin Lu, Yuan Liu, Kerrin S. Small, Ana Viñuela, Andrew P. Morris, María Berdasco, Manel Esteller, M. Julia Brosnan, Panos Deloukas, Mark I. McCarthy, Sally John, Jordana T. Bell, Jun Wang, Tim D. Spector (2014). An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins. , 5(1), DOI: https://doi.org/10.1038/ncomms6719.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2014
Authors
24
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/ncomms6719
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access