期刊
GENOME BIOLOGY
卷 23, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13059-021-02596-5
关键词
DNA methylation; EWAS; Cognitive ability; Prediction; Epidemiology
资金
- Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6]
- Scottish Funding Council [HR03006]
- Medical Research Council UK
- Wellcome Trust (Wellcome Trust Strategic Award STratifying Resilience and Depression Longitudinally (STRAD) [104036/Z/14/Z]
- Brain & Behavior Research Foundation [27404]
- Royal College of Physicians of Edinburgh
- Medical Research Council (MRC) [G0701120, G1001245, MR/M013111/1, MR/R024065/1]
- Scottish Funding Council
- Chief Scientist Office
- European Union [PHC.03.15, 666881]
- SVDs@Target
- Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease [16 CVD 05]
- Age UK
- University of Edinburgh
- Centre for Cognitive Ageing and Cognitive Epidemiology (Pilot Fund award)
- Wellcome Trust Institutional Strategic Support Fund
- University of Queensland
- Biotechnology and Biological Sciences Research Council [BB/F019394/1]
- NIH [R01AG054628, R01AG05462802S1, R01MH120219, R01HD083613, P2CHD042849, P30AG066614]
- Row Fogo Charitable Trust [BROD.FID3668413]
- UK Dementia Research Institute from DRI Ltd - UK Medical Research Council
- Alzheimers Society [AS-PG-19b-010]
- Alzheimers Research UK [ARUK/PG2017B/10]
- Wellcome Trust [108890/Z/15/Z]
- Royal Society [221890/Z/20/Z]
- Wellcome [104036/Z/14/Z, 108890/Z/15/Z]
- BBSRC [BB/F019394/1] Funding Source: UKRI
By analyzing blood-based DNA methylation, individual differences in general cognitive function can be explained, which is important for tracking the development of neurodegenerative diseases. Assessing cognitive function using DNAm data may be valuable in environments where reliable or accessible cognitive testing is lacking.
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 similar to 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.
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