Blood-based epigenome-wide analyses on the prevalence and incidence of nineteen common disease states

Epigenome-wide association studies (EWAS) were performed using whole-blood methylation and self-report disease data (prevalent disease) for 14 conditions at the study baseline of Generation Scotland. Furthermore, EWAS were performed on 19 incident conditions using electronic health record linkage to ascertain diagnoses following the study baseline. Basic and fully-adjusted models were considered, resulting in 66 models in total. medRxiv 2023.01.10.23284387; doi: https://doi.org/10.1101/2023.01.10.23284387全表观基因组关联研究（Epigenome-wide association studies, EWAS）在苏格兰世代队列（Generation Scotland）的研究基线阶段，针对14种疾病，采用全血甲基化数据与自我报告的现患疾病（prevalent disease）数据完成了分析。此外，为确认研究基线后的疾病诊断结果，本研究借助电子健康记录联动数据，针对19种新发疾病开展了EWAS分析。研究设置了基础模型与完全校正模型两类分析框架，总计生成66个模型。该研究预印本发布于medRxiv 2023.01.10.23284387；DOI：https://doi.org/10.1101/2023.01.10.23284387