Blood-based epigenome-wide association study and prediction of alcohol consumption

Blood-based epigenome-wide association study and prediction of alcohol consumption

Abstract Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alc...

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Bibliographic Details
Main Authors: Elena Bernabeu, Aleksandra D. Chybowska, Jacob K. Kresovich, Matthew Suderman, Daniel L. McCartney, Robert F. Hillary, Janie Corley, Maria Del C. Valdés-Hernández, Susana Muñoz Maniega, Mark E. Bastin, Joanna M. Wardlaw, Zongli Xu, Dale P. Sandler, Archie Campbell, Sarah E. Harris, Andrew M. McIntosh, Jack A. Taylor, Paul Yousefi, Simon R. Cox, Kathryn L. Evans, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Clinical Epigenetics
Online Access:https://doi.org/10.1186/s13148-025-01818-y
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