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 in | Nature communications Vol. 8; no. 1; p. 15353 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
18.05.2017
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/ncomms15353 |