痴呆
DNA甲基化
甲基化
肿瘤科
认知
疾病
多元分析
多元统计
内科学
全血
心理学
生物信息学
医学
临床心理学
生物
精神科
DNA
遗传学
基因
计算机科学
机器学习
基因表达
作者
J.C. Koetsier,Rachel Cavill,Rick A. Reijnders,Joshua Harvey,Kay Deckers,Sebastian Köhler,Lars Eijssen,Rebecca G. Smith,Adam R. Smith,Joe Burrage,Emma Walker,Gemma Shireby,Eilís Hannon,Emma Dempster,Timothy M. Frayling,Jonathan Mill,Valerija Dobričić,Yasmine Sommerer,Peter Johannsen,Michael Wittig
出处
期刊:Cold Spring Harbor Laboratory - medRxiv
日期:2023-09-28
被引量:1
标识
DOI:10.1101/2023.09.27.23296143
摘要
ABSTRACT INTRODUCTION Given the established association between DNA methylation and the pathophysiology of dementia and its plausible role as a molecular mediator of lifestyle and environment, blood-derived DNA methylation data could enable early detection of dementia risk. METHODS In conjunction with an extensive array of machine learning techniques, we employed whole blood genome-wide DNA methylation data as a surrogate for 14 modifiable and non-modifiable factors in the assessment of dementia risk in two independent cohorts of Alzheimer’s disease (AD) and Parkinson’s disease (PD). RESULTS We established a multivariate methylation risk score (MMRS) to identify the status of mild cognitive impairment (MCI) cross-sectionally, independent of age and sex. We further demonstrated significant predictive capability of this score for the prospective onset of cognitive decline in AD and PD. DISCUSSION Our work shows the potential of employing blood-derived DNA methylation data in the assessment of dementia risk.
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