Anne Richmond, Jure Mur, Sarah Harris, Janie Corley, Hannah R Elliott, Chris N Foley, Eilis Hannon, Zhana Kuncheva, Josine Min, Mahdi Moqri, Magatte Ndiaye, Benjamin Sun, Catalina Vallejos, Kejun Ying, Vadim N Gladyshev, Simon R Cox, Daniel L. McCartney, Riccardo Marioni
{"title":"Imputed DNA methylation outperforms measured loci associations with smoking and chronological age","authors":"Anne Richmond, Jure Mur, Sarah Harris, Janie Corley, Hannah R Elliott, Chris N Foley, Eilis Hannon, Zhana Kuncheva, Josine Min, Mahdi Moqri, Magatte Ndiaye, Benjamin Sun, Catalina Vallejos, Kejun Ying, Vadim N Gladyshev, Simon R Cox, Daniel L. McCartney, Riccardo Marioni","doi":"10.1101/2024.09.05.611501","DOIUrl":null,"url":null,"abstract":"Multi-locus signatures of blood-based DNA methylation are well-established biomarkers for lifestyle and health outcomes. Here, we focus on two CpGs that are strongly associated with age and smoking behaviour. Imputing these loci via epigenome-wide CpGs results in stronger associations with outcomes in external datasets compared to directly measured CpGs. If extended epigenome-wide, CpG imputation could augment historic arrays and recently-released, inexpensive but lower-content arrays, thereby yielding better-powered association studies.","PeriodicalId":501246,"journal":{"name":"bioRxiv - Genetics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.05.611501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-locus signatures of blood-based DNA methylation are well-established biomarkers for lifestyle and health outcomes. Here, we focus on two CpGs that are strongly associated with age and smoking behaviour. Imputing these loci via epigenome-wide CpGs results in stronger associations with outcomes in external datasets compared to directly measured CpGs. If extended epigenome-wide, CpG imputation could augment historic arrays and recently-released, inexpensive but lower-content arrays, thereby yielding better-powered association studies.
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