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,André Franke,Rik Vandenberghe,Jolien Schaeverbeke,Yvonne Freund‐Levi,Lutz Frölich,Philip Scheltens,Charlotte E. Teunissen,Giovanni B. Frisoni,Olivier Blin,Jill Richardson,Régis Bordet,Sebastiaan Engelborghs,Ellen De Roeck,Pablo Martínez‐Lage,Mikel Tainta,Alberto Lleó,Isabel Sala,Julius Popp,Gwedoline Peyratout,Frans R.J. Verhey,Magda Tsolaki,Ulf Andréasson,Kaj Blennow,Henrik Zetterberg,Johannes Streffer,Stephanie J.B. Vos,Simon Lovestone,Pieter Jelle Visser,Lars Bertram,Katie Lunnon,Ehsan Pishva
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.