학술논문
Blood-based epigenome-wide analyses of cognitive abilities
Document Type
article
Author
Daniel L. McCartney; Robert F. Hillary; Eleanor L. S. Conole; Daniel Trejo Banos; Danni A. Gadd; Rosie M. Walker; Cliff Nangle; Robin Flaig; Archie Campbell; Alison D. Murray; Susana Muñoz Maniega; María del C. Valdés-Hernández; Mathew A. Harris; Mark E. Bastin; Joanna M. Wardlaw; Sarah E. Harris; David J. Porteous; Elliot M. Tucker-Drob; Andrew M. McIntosh; Kathryn L. Evans; Ian J. Deary; Simon R. Cox; Matthew R. Robinson; Riccardo E. Marioni
Source
Genome Biology, Vol 23, Iss 1, Pp 1-16 (2022)
Subject
Language
English
ISSN
1474-760X
Abstract
Abstract Background Blood-based markers of cognitive functioning might provide an accessible way to track neurodegeneration years prior to clinical manifestation of cognitive impairment and dementia. Results Using blood-based epigenome-wide analyses of general cognitive function, we show that individual differences in DNA methylation (DNAm) explain 35.0% of the variance in general cognitive function (g). A DNAm predictor explains ~4% of the variance, independently of a polygenic score, in two external cohorts. It also associates with circulating levels of neurology- and inflammation-related proteins, global brain imaging metrics, and regional cortical volumes. Conclusions As sample sizes increase, the ability to assess cognitive function from DNAm data may be informative in settings where cognitive testing is unreliable or unavailable.