Genetic architecture of epigenetic and neuronal ageing rates in human brain regions

Identifying genes regulating the pace of epigenetic ageing represents a new frontier in genome-wide association studies (GWASs). Here using 1,796 brain samples from 1,163 individuals, we carry out a GWAS of two DNA methylation-based biomarkers of brain age: the epigenetic ageing rate and estimated p...

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Published inNature communications Vol. 8; no. 1; p. 15353
Main Authors Lu, Ake T., Hannon, Eilis, Levine, Morgan E., Crimmins, Eileen M., Lunnon, Katie, Mill, Jonathan, Geschwind, Daniel H., Horvath, Steve
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.05.2017
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Summary:Identifying genes regulating the pace of epigenetic ageing represents a new frontier in genome-wide association studies (GWASs). Here using 1,796 brain samples from 1,163 individuals, we carry out a GWAS of two DNA methylation-based biomarkers of brain age: the epigenetic ageing rate and estimated proportion of neurons. Locus 17q11.2 is significantly associated ( P =4.5 × 10 −9 ) with the ageing rate across five brain regions and harbours a cis -expression quantitative trait locus for EFCAB5 ( P =3.4 × 10 −20 ). Locus 1p36.12 is significantly associated ( P =2.2 × 10 −8 ) with epigenetic ageing of the prefrontal cortex, independent of the proportion of neurons. Our GWAS of the proportion of neurons identified two genome-wide significant loci (10q26 and 12p13.31) and resulted in a gene set that overlaps significantly with sets found by GWAS of age-related macular degeneration ( P =1.4 × 10 −12 ), ulcerative colitis ( P <1.0 × 10 −20 ), type 2 diabetes ( P =2.8 × 10 −13 ), hip/waist circumference in men ( P =1.1 × 10 −9 ), schizophrenia ( P =1.6 × 10 −9 ), cognitive decline ( P =5.3 × 10 −4 ) and Parkinson’s disease ( P =8.6 × 10 −3 ). Studies on the ‘epigenetic clock’, a recently identified ageing biomarker, suggest that pathology might be linked to tissue-specific accelerated ageing. Here, the authors investigate ageing in the human brain and identify genetic loci associated with accelerated ageing in different brain regions.
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ISSN:2041-1723
2041-1723
DOI:10.1038/ncomms15353