Abstract

BackgroundDNA methylation-based biological age (DNAm age) is an important biomarker for adult health. Studies in specific age ranges have found widely varying results about its genetic and environmental causes of variation. However, these studies are not able to provide a comprehensive view of the causes of variation over the lifespan.ResultsIn order to investigate the genetic and environmental causes of DNAm age variation across the lifespan, we pooled genome-wide DNA methylation data for 4217 people aged 0–92 years from 1871 families. DNAm age was calculated using the Horvath epigenetic clock. We estimated familial correlations in DNAm age for monozygotic (MZ) twin, dizygotic (DZ) twin, sibling, parent–offspring, and spouse pairs by cohabitation status. Genetic and environmental variance components models were fitted and compared. We found that twin pair correlations were − 0.12 to 0.18 around birth, not different from zero (all P > 0.29). For all pairs of relatives, their correlations increased with time spent living together (all P < 0.02) at different rates (MZ > DZ and siblings > parent–offspring; P < 0.001) and decreased with time spent living apart (P = 0.02) at similar rates. These correlation patterns were best explained by cohabitation-dependent shared environmental factors, the effects of which were 1.41 (95% confidence interval [CI] 1.16 to 1.66) times greater for MZ pairs than for DZ and sibling pairs, and the latter were 2.03 (95% CI 1.13 to 9.47) times greater than for parent–offspring pairs. Genetic factors explained 13% (95% CI − 10 to 35%) of variation (P = 0.27). Similar results were found for another two epigenetic clocks, suggesting that our observations are robust to how DNAm age is measured. In addition, results for the other clocks were consistent with there also being a role for prenatal environmental factors in determining their variation.ConclusionsVariation in DNAm age is mostly caused by environmental factors, including those shared to different extents by relatives while living together and whose effects persist into old age. The equal environment assumption of the classic twin study might not hold for epigenetic aging.

Highlights

  • DNA methylation-based biological age (DNAm age) is an important biomarker for adult health

  • Results for other DNAm age measures We studied two other DNAm age measures, a skin and blood clock developed by Horvath et al [16] and a blood clock developed by Han et al [17], which are developed across tissues and/or ages

  • DNAm ages predicted by the two measures appeared to be more similar to chronological age than the DNAm age predicted by the Horvath epigenetic clock: within the same study, they had higher correlations with chronological age (Additional file 2: Figure S1, Additional file 3: Figure S2) and lower absolute deviations from chronological age (Additional file 1: Table S4)

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Summary

Introduction

DNA methylation-based biological age (DNAm age) is an important biomarker for adult health. Stud‐ ies in specific age ranges have found widely varying results about its genetic and environmental causes of variation. These studies are not able to provide a comprehensive view of the causes of variation over the lifespan. Pedigree-based and single nucleotide polymorphism (SNP)-based studies have given widely varying estimates of the proportion of variation in DNAm age explained by genetic factors, ranging from 0 to 100% [6,7,8,9, 11,12,13]. Individual studies of specific age ranges are not able to provide a comprehensive view of the causes of variation over the lifespan

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