@article{10702,
  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.},
  author       = {McCartney, Daniel L. and Hillary, Robert F. and Conole, Eleanor L.S. and Banos, Daniel Trejo and Gadd, Danni A. and Walker, Rosie M. and Nangle, Cliff and Flaig, Robin and Campbell, Archie and Murray, Alison D. and Maniega, Susana Muñoz and Valdés-Hernández, María Del C. and Harris, Mathew A. and Bastin, Mark E. and Wardlaw, Joanna M. and Harris, Sarah E. and Porteous, David J. and Tucker-Drob, Elliot M. and McIntosh, Andrew M. and Evans, Kathryn L. and Deary, Ian J. and Cox, Simon R. and Robinson, Matthew Richard and Marioni, Riccardo E.},
  issn         = {1474-760X},
  journal      = {Genome Biology},
  number       = {1},
  publisher    = {Springer Nature},
  title        = {{Blood-based epigenome-wide analyses of cognitive abilities}},
  doi          = {10.1186/s13059-021-02596-5},
  volume       = {23},
  year         = {2022},
}