Meiqi Yang, Mei Wang, Xiaoyu Zhao, Feifei Xu, Shuang Liang, Yifan Wang, Nanxi Wang, Muhammed Lamin Sambou, Yue Jiang, Juncheng Dai
{"title":"DNA methylation marker identification and poly-methylation risk score in prediction of healthspan termination.","authors":"Meiqi Yang, Mei Wang, Xiaoyu Zhao, Feifei Xu, Shuang Liang, Yifan Wang, Nanxi Wang, Muhammed Lamin Sambou, Yue Jiang, Juncheng Dai","doi":"10.2217/epi-2023-0343","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> To elucidate the epigenetic consequences of DNA methylation in healthspan termination (HST), considering the current limited understanding. <b>Materials & methods:</b> Genetically predicted DNA methylation models were established (n = 2478). These models were applied to genome-wide association study data on HST. Then, a poly-methylation risk score (PMRS) was established in 241,008 individuals from the UK Biobank. <b>Results:</b> Of the 63,046 CpGs from the prediction models, 13 novel CpGs were associated with HST. Furthermore, people with high PMRSs showed higher HST risk (hazard ratio: 1.18; 95% CI: 1.13-1.25). <b>Conclusion:</b> The study indicates that DNA methylation may influence HST by regulating the expression of genes (e.g., <i>PRMT6</i>, <i>CTSK</i>). PMRSs have a promising application in discriminating subpopulations to facilitate early prevention.</p>","PeriodicalId":11959,"journal":{"name":"Epigenomics","volume":" ","pages":"461-472"},"PeriodicalIF":3.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epigenomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/epi-2023-0343","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To elucidate the epigenetic consequences of DNA methylation in healthspan termination (HST), considering the current limited understanding. Materials & methods: Genetically predicted DNA methylation models were established (n = 2478). These models were applied to genome-wide association study data on HST. Then, a poly-methylation risk score (PMRS) was established in 241,008 individuals from the UK Biobank. Results: Of the 63,046 CpGs from the prediction models, 13 novel CpGs were associated with HST. Furthermore, people with high PMRSs showed higher HST risk (hazard ratio: 1.18; 95% CI: 1.13-1.25). Conclusion: The study indicates that DNA methylation may influence HST by regulating the expression of genes (e.g., PRMT6, CTSK). PMRSs have a promising application in discriminating subpopulations to facilitate early prevention.
期刊介绍：
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.
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