{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bernabeu E"],"funding":["Swiss National Science Foundation","Medical Research Council","Alzheimer's Society","Wellcome Trust","Biotechnology and Biological Sciences Research Council"],"pagination":["14"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11762500"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(1)"],"pubmed_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 alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait. Here, we explore the epigenetic architecture of self-reported weekly units of alcohol consumption in the Generation Scotland study. We first create a blood-based epigenetic score (EpiScore) of alcohol consumption using elastic net penalized linear regression. We explore the effect of pre-filtering for CpG features ahead of elastic net, as well as differential patterns by sex and by u"],"journal":["Clinical epigenetics"],"pubmed_title":["Blood-based epigenome-wide association study and prediction of alcohol consumption."],"pmcid":["PMC11762500"],"funding_grant_id":["104036/Z/14/Z","AS-PG-19b-010","221890/Z/20/Z","BB/F019394/1","PCEGP3-181181","BB/W008793/1","181181","220857/Z/20/Z","010","MC_UU_00011/5"],"pubmed_authors":["Taylor JA","Valdes-Hernandez MDC","Kresovich JK","Yousefi P","McCartney DL","Vallejos CA","Bernabeu E","Corley J","Sandler DP","Maniega SM","Wardlaw JM","Suderman M","Hillary RF","Harris SE","Cox SR","Chybowska AD","Evans KL","Marioni RE","McIntosh AM","Campbell A","Bastin ME","Robinson MR","Xu Z"],"additional_accession":[]},"is_claimable":false,"name":"Blood-based epigenome-wide association study and prediction of alcohol consumption.","description":"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 alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait. Here, we explore the epigenetic architecture of self-reported weekly units of alcohol consumption in the Generation Scotland study. We first create a blood-based epigenetic score (EpiScore) of alcohol consumption using elastic net penalized linear regression. We explore the effect of pre-filtering for CpG features ahead of elastic net, as well as differential patterns by sex and by u","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2025-04-04T22:08:13.534Z","creation":"2025-04-04T22:08:13.534Z"},"accession":"S-EPMC11762500","cross_references":{"pubmed":["39863868"],"doi":["10.1186/s13148-025-01818-y"]}}