Genome Medicine (Dec 2019)

An epigenome-wide association study of sex-specific chronological ageing

  • Daniel L. McCartney,
  • Futao Zhang,
  • Robert F. Hillary,
  • Qian Zhang,
  • Anna J. Stevenson,
  • Rosie M. Walker,
  • Mairead L. Bermingham,
  • Thibaud Boutin,
  • Stewart W. Morris,
  • Archie Campbell,
  • Alison D. Murray,
  • Heather C. Whalley,
  • David J. Porteous,
  • Caroline Hayward,
  • Kathryn L. Evans,
  • Tamir Chandra,
  • Ian J. Deary,
  • Andrew M. McIntosh,
  • Jian Yang,
  • Peter M. Visscher,
  • Allan F. McRae,
  • Riccardo E. Marioni

DOI
https://doi.org/10.1186/s13073-019-0693-z
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Abstract Background Advanced age is associated with cognitive and physical decline and is a major risk factor for a multitude of disorders. There is also a gap in life expectancy between males and females. DNA methylation differences have been shown to be associated with both age and sex. Here, we investigate age-by-sex differences in blood-based DNA methylation in an unrelated cohort of 2586 individuals between the ages of 18 and 87 years, with replication in a further 4450 individuals between the ages of 18 and 93 years. Methods Linear regression models were applied, with stringent genome-wide significance thresholds (p < 3.6 × 10−8) used in both the discovery and replication data. A second, highly conservative mixed linear model method that better controls the false-positive rate was also applied, using the same genome-wide significance thresholds. Results Using the linear regression method, 52 autosomal and 597 X-linked CpG sites, mapping to 251 unique genes, replicated with concordant effect size directions in the age-by-sex interaction analysis. The site with the greatest difference mapped to GAGE10, an X-linked gene. Here, DNA methylation levels remained stable across the male adult age range (DNA methylation by age r = 0.02) but decreased across female adult age range (DNA methylation by age r = − 0.61). One site (cg23722529) with a significant age-by-sex interaction also had a quantitative trait locus (rs17321482) that is a genome-wide significant variant for prostate cancer. The mixed linear model method identified 11 CpG sites associated with the age-by-sex interaction. Conclusion The majority of differences in age-associated DNA methylation trajectories between sexes are present on the X chromosome. Several of these differences occur within genes that have been implicated in sexually dimorphic traits.

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