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


ABSTRACT: 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).

SUBMITTER: Lu AT 

PROVIDER: S-EPMC5454371 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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

Lu Ake T AT   Hannon Eilis E   Levine Morgan E ME   Crimmins Eileen M EM   Lunnon Katie K   Mill Jonathan J   Geschwind Daniel H DH   Horvath Steve S  

Nature communications 20170518


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<sup>-9</sup>) with the ageing rate across five brain regions and harbours a cis-expression quantitative trait locus for EFCA  ...[more]

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