Projects per year
Abstract
The influence of genetic variation on complex diseases is potentially mediated through a range of highly dynamic epigenetic processes exhibiting temporal variation during development and later life. Here we present a catalogue of the genetic influences on DNA methylation (methylation quantitative trait loci (mQTL)) at five different life stages in human blood: children at birth, childhood, adolescence and their mothers during pregnancy and middle age.
Results
We show that genetic effects on methylation are highly stable across the life course and that developmental change in the genetic contribution to variation in methylation occurs primarily through increases in environmental or stochastic effects. Though we map a large proportion of the cis-acting genetic variation, a much larger component of genetic effects influencing methylation are acting in trans. However, only 7 % of discovered mQTL are trans-effects, suggesting that the trans component is highly polygenic. Finally, we estimate the contribution of mQTL to variation in complex traits and infer that methylation may have a causal role consistent with an infinitesimal model in which many methylation sites each have a small influence, amounting to a large overall contribution.
Conclusions
DNA methylation contains a significant heritable component that remains consistent across the lifespan. Our results suggest that the genetic component of methylation may have a causal role in complex traits. The database of mQTL presented here provide a rich resource for those interested in investigating the role of methylation in disease.
Original language | English |
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Article number | 61 |
Number of pages | 14 |
Journal | Genome Biology |
Volume | 17 |
DOIs | |
Publication status | Published - 31 Mar 2016 |
Keywords
- Methylation quantitative trait loci
- mQTL
- Cohort
- Genetic association
- DNA methylation
Fingerprint
Dive into the research topics of 'Systematic identification of genetic influences on methylation across the human life course'. Together they form a unique fingerprint.Projects
- 5 Finished
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MRC UoB UNITE Unit - Programme 1
Davey Smith, G. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
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IEU Theme 2
Flach, P. A. (Principal Investigator), Gaunt, T. R. (Principal Investigator) & Gaunt, T. R. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
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MRC UoB UNITE Unit - Programme 2
Relton, C. L. (Principal Investigator) & Relton, C. L. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
Datasets
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ARIES mQTL results
Shihab, H. A. (Creator), Gaunt, T. R. (Creator), Relton, C. L. (Creator), Hemani, G. (Creator), Smith, G. D. (Creator), Woodward, G. (Contributor), McArdle, W. L. (Contributor), Evans, D. M. (Contributor), Zheng, J. (Contributor), Min, J. L. (Contributor), Ho, K. (Contributor), Ring, S. M. (Contributor), Lyttleton, O. (Contributor), Duggirala, A. (Contributor) & Gaunt, T. (Data Manager), University of Bristol, 9 Mar 2016
DOI: 10.5523/bris.r9bxayo5mmk510dczq6golkmb, http://data.bris.ac.uk/data/dataset/r9bxayo5mmk510dczq6golkmb
Dataset
Equipment
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Illumina Array
Ring, S. M. (Manager)
Bristol Population Health Science InstituteFacility/equipment: Facility
Profiles
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Professor Tom R Gaunt
- Bristol Medical School (PHS) - Professor of Health and Biomedical Informatics and MRC Investigator
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit - Programme lead
Person: Academic , Member
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Professor Gibran Hemani
- Bristol Medical School (PHS) - Professor in Statistical Genetics
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
Person: Academic , Member