Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Systematic identification of genetic influences on methylation across the human life course

Tom R. Gaunt, Hashem A. Shihab, Gibran Hemani, Josine L. Min, Geoff Woodward, Oliver Lyttleton, Jie Zheng, Aparna Duggirala, Wendy L. McArdle, Karen Ho, Susan M. Ring, David M. Evans, George Davey Smith, Caroline L. Relton

Genome biology · 2016

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Summary

This study presents a comprehensive catalogue of genetic influences on DNA methylation across five distinct life stages using human blood samples from birth through middle age. The findings demonstrate that genetic effects on methylation are remarkably stable throughout the lifespan, with developmental changes driven primarily by increases in environmental and stochastic effects rather than genetic variation. The authors estimate that DNA methylation contains a significant heritable component with potential causal roles in complex traits, suggesting that many methylation sites each exert small influences that collectively contribute meaningfully to disease risk.

UK applicability

As a longitudinal UK cohort study (likely ALSPAC-based), findings directly represent UK population patterns of epigenetic variation. The mQTL database provides a resource for UK researchers investigating methylation's role in complex diseases prevalent in the British population, though mechanistic links to food systems or farming are indirect.

Key measures

Methylation quantitative trait loci (mQTL); cis- and trans-acting genetic effects; proportion of heritable methylation variance; contribution to complex trait variation

Outcomes reported

The study catalogued genetic influences on DNA methylation (mQTL) at five life stages in human blood: birth, childhood, adolescence, and maternal pregnancy and middle age. It quantified the stability of genetic effects on methylation across the lifespan and estimated the contribution of methylation to complex disease variation.

Theme
Nutrition & health
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Human clinical
DOI
10.1186/s13059-016-0926-z
Catalogue ID
BFmou2mfu8-s5jsh8

Topic tags

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