<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bernabeu E</submitter><funding>Swiss National Science Foundation</funding><funding>Medical Research Council</funding><funding>Alzheimer's Society</funding><funding>Wellcome Trust</funding><funding>Biotechnology and Biological Sciences Research Council</funding><pagination>14</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11762500</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(1)</volume><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</pubmed_abstract><journal>Clinical epigenetics</journal><pubmed_title>Blood-based epigenome-wide association study and prediction of alcohol consumption.</pubmed_title><pmcid>PMC11762500</pmcid><funding_grant_id>104036/Z/14/Z</funding_grant_id><funding_grant_id>AS-PG-19b-010</funding_grant_id><funding_grant_id>221890/Z/20/Z</funding_grant_id><funding_grant_id>BB/F019394/1</funding_grant_id><funding_grant_id>PCEGP3-181181</funding_grant_id><funding_grant_id>BB/W008793/1</funding_grant_id><funding_grant_id>181181</funding_grant_id><funding_grant_id>220857/Z/20/Z</funding_grant_id><funding_grant_id>010</funding_grant_id><funding_grant_id>MC_UU_00011/5</funding_grant_id><pubmed_authors>Taylor JA</pubmed_authors><pubmed_authors>Valdes-Hernandez MDC</pubmed_authors><pubmed_authors>Kresovich JK</pubmed_authors><pubmed_authors>Yousefi P</pubmed_authors><pubmed_authors>McCartney DL</pubmed_authors><pubmed_authors>Vallejos CA</pubmed_authors><pubmed_authors>Bernabeu E</pubmed_authors><pubmed_authors>Corley J</pubmed_authors><pubmed_authors>Sandler DP</pubmed_authors><pubmed_authors>Maniega SM</pubmed_authors><pubmed_authors>Wardlaw JM</pubmed_authors><pubmed_authors>Suderman M</pubmed_authors><pubmed_authors>Hillary RF</pubmed_authors><pubmed_authors>Harris SE</pubmed_authors><pubmed_authors>Cox SR</pubmed_authors><pubmed_authors>Chybowska AD</pubmed_authors><pubmed_authors>Evans KL</pubmed_authors><pubmed_authors>Marioni RE</pubmed_authors><pubmed_authors>McIntosh AM</pubmed_authors><pubmed_authors>Campbell A</pubmed_authors><pubmed_authors>Bastin ME</pubmed_authors><pubmed_authors>Robinson MR</pubmed_authors><pubmed_authors>Xu Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Blood-based epigenome-wide association study and prediction of alcohol consumption.</name><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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan</publication><modification>2025-04-04T22:08:13.534Z</modification><creation>2025-04-04T22:08:13.534Z</creation></dates><accession>S-EPMC11762500</accession><cross_references><pubmed>39863868</pubmed><doi>10.1186/s13148-025-01818-y</doi></cross_references></HashMap>