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DNA methylation-based predictors of metabolic traits in Scottish and Singaporean cohorts

Year: 2024
Type: article
Study design: Observational Study
Abstract: ] < 0.05). Accounting for the correlation structure across the methylome can vastly affect the number of lead findings in EWASs. The EpiScores of metabolic traits are broadly applicable across populations and can reflect differences in cognition.
DOI: 10.1016/j.ajhg.2024.11.012
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
Institutions: Institute of Genetics and Cancer, University of Edinburgh, Nanyang Technological University, Institute of Science and Technology Austria, Imperial College London, Agency for Science, Technology and Research, Genome Institute of Singapore
Language: English
Open Access status: hybrid
Estimated APC paid: $5,150
Funders: Wellcome Trust, Alzheimer's Research Trust, Scottish Funding Council, Age UK, Alzheimer’s Research UK, National Institutes of Health, Medical Research Council, Philippine Council for Industry, Energy, and Emerging Technology Research and Development
OpenAlex ID: W4405567715
FWCI: 1.155
Cites: 66
Cited by: 10
Related to: 10