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

Lu, AT; Hannon, E; Levine, ME; et al.Crimmins, EM; Lunnon, K; Mill, J; Geschwind, DH; Horvath, S
Date: 18 May 2017
Journal
Nature Communications
Publisher
Springer Nature
Publisher DOI
https://doi.org/10.1038/ncomms15353
Related links
https://www.ncbi.nlm.nih.gov/pubmed/28516910
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 ...
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)).
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© The Author(s) 2017. Open access. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2017. Open access. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/