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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454371/ https://www.ncbi.nlm.nih.gov/pubmed/28516910 http://dx.doi.org/10.1038/ncomms15353 |
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author | Lu, Ake T. Hannon, Eilis Levine, Morgan E. Crimmins, Eileen M. Lunnon, Katie Mill, Jonathan Geschwind, Daniel H. Horvath, Steve |
author_facet | Lu, Ake T. Hannon, Eilis Levine, Morgan E. Crimmins, Eileen M. Lunnon, Katie Mill, Jonathan Geschwind, Daniel H. Horvath, Steve |
author_sort | Lu, Ake T. |
collection | PubMed |
description | 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)). |
format | Online Article Text |
id | pubmed-5454371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54543712017-06-07 Genetic architecture of epigenetic and neuronal ageing rates in human brain regions Lu, Ake T. Hannon, Eilis Levine, Morgan E. Crimmins, Eileen M. Lunnon, Katie Mill, Jonathan Geschwind, Daniel H. Horvath, Steve Nat Commun Article 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)). Nature Publishing Group 2017-05-18 /pmc/articles/PMC5454371/ /pubmed/28516910 http://dx.doi.org/10.1038/ncomms15353 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ 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/ |
spellingShingle | Article Lu, Ake T. Hannon, Eilis Levine, Morgan E. Crimmins, Eileen M. Lunnon, Katie Mill, Jonathan Geschwind, Daniel H. Horvath, Steve Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title | Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title_full | Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title_fullStr | Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title_full_unstemmed | Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title_short | Genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
title_sort | genetic architecture of epigenetic and neuronal ageing rates in human brain regions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454371/ https://www.ncbi.nlm.nih.gov/pubmed/28516910 http://dx.doi.org/10.1038/ncomms15353 |
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