DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts
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https://zenodo.org/record/13998834
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Epigenome-wide association studies (EWASs) of six metabolic traits were performed using whole-blood DNA methylation (DNAm) in Generation Scotland with N > 17,000 participants. The first set of EWAS models were adjusted for estimated white blood cells, and an epigenetic smoking score. The second set of EWAS models were further adjusted for the first 20 DNAm principal components. A total of 12 EWAS models were run (2 models per metabolic trait).
Authors: Hannah M. Smith, Hong Kiat Ng, Joanna E. Moodie, Danni A. Gadd, Daniel L. McCartney, Elena Bernabeu, Archie Campbell, Paul Redmond, Adele Taylor, Danielle Page, Janie Corley, Sarah E. Harris, Darwin Tay, Ian J. Deary, Kathryn L. Evans, Matthew R. Robinson, John C. Chambers, Marie Loh, Simon R. Cox, Riccardo E. Marioni, Robert F. Hillary
medRxiv 2024.05.29.24308103
Contact: Riccardo E. Marioni, riccardo.marioni@ed.ac.uk
创建时间：
2024-10-27
