Cited by 159Epigenetics and DNA MethylationGenetic Associations and EpidemiologyGenomics and Chromatin Dynamics

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

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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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Crossref · 10.1186/s13073-019-0693-z

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Figures

Fig. 1 Age, sex, and age-by-sex effects in discovery and replication cohorts (linear regression method). Discovery cohort effect sizes (x-axis) are plotted against replication cohort effect sizes (y-axis) for the epigenome-wide analysis of age, sex, and age-by-sex. Autosomal and X-chromosome associations are presented separately
Fig. 1 Age, sex, and age-by-sex effects in discovery and replication cohorts (linear regression method). Discovery cohort effect sizes (x-axis) are plotted against replication cohort effect sizes (y-axis) for the epigenome-wide analysis of age, sex, and age-by-sex. Autosomal and X-chromosome associations are presented separatelyCC BY · PubMed Central
Fig. 2 Pseudo-trajectories of DNA methylation by sex for probes associated with the age-by-sex interaction term using linear regression and MOMENT methods. DNA methylation beta values (y-axis) are plotted against chronological age (x-axis) separately for male samples (purple points) and female samples (orange points). Red lines represent the regression slope for the univariate model DNAm ~ age. Grey contour lines indicate data density
Fig. 2 Pseudo-trajectories of DNA methylation by sex for probes associated with the age-by-sex interaction term using linear regression and MOMENT methods. DNA methylation beta values (y-axis) are plotted against chronological age (x-axis) separately for male samples (purple points) and female samples (orange points). Red lines represent the regression slope for the univariate model DNAm ~ age. Grey contour lines indicate data densityCC BY · PubMed Central
Fig. 3 DNA methylation by genotype at the prostate cancer-associated variant rs17321482. DNA methylation beta values (y-axis) are plotted against chronological age (x-axis) separately for male samples (purple points) and female samples (orange points), based on genotype at rs17321482. Red lines represent the regression slope for the univariate model DNAm ~ age. Black contour lines indicate data density
Fig. 3 DNA methylation by genotype at the prostate cancer-associated variant rs17321482. DNA methylation beta values (y-axis) are plotted against chronological age (x-axis) separately for male samples (purple points) and female samples (orange points), based on genotype at rs17321482. Red lines represent the regression slope for the univariate model DNAm ~ age. Black contour lines indicate data densityCC BY · PubMed Central
Fig. 4 Enrichment of age-by-sex-associated genes among differentially expressed genes by tissue. The figure shows enrichment among differentially expressed genes in a given tissue (x-axis) compared to all other tissue types. The enrichment –log10(p value) is shown on the y-axis. Tissues with significant enrichment of genes are highlighted in red
Fig. 4 Enrichment of age-by-sex-associated genes among differentially expressed genes by tissue. The figure shows enrichment among differentially expressed genes in a given tissue (x-axis) compared to all other tissue types. The enrichment –log10(p value) is shown on the y-axis. Tissues with significant enrichment of genes are highlighted in redCC BY · PubMed Central

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  1. R Core Team. R development Core team. R a Lang. Environ. Stat Comput 2017; 55: 275–286.

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Metadata

Authors
McCartney, D. L., Zhang, F., Hillary, R. F., Zhang, Q., Stevenson, A. J., Walker, R. M., Bermingham, M. L., Boutin, T., Morris, S. W., Campbell, A., Murray, A. D., Whalley, H. C., Porteous, D. J., Hayward, C., Evans, K. L., Chandra, T., Deary, I. J., McIntosh, A. M., Yang, J., Visscher, P. M., McRae, A. F., & Marioni, R. E.
Affiliations
  • Institute of Genetics and Cancer (GB)
  • The University of Queensland (AU)
  • University of Aberdeen (GB)
  • Royal Edinburgh Hospital (GB)
  • University of Edinburgh (GB)
Corresponding author
Marioni, Riccardo E.
Venue
Genome Medicine
Published
2019-12-31
Volume
12
Issue
1
Pages
1-1
ISSN
1756-994X (ISSN-L)
OpenAlex
W2992920781
Cited by
152
References
63
Citations by year
2026: 7 · 2025: 32 · 2024: 26 · 2023: 17 · 2022: 26 · 2021: 40 · 2020: 4
FWCI
6.12
Type
journal article
Language
en
Open access
Locations
  • Genome Medicine (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Wellcome Trust (104036/Z/14/Z, 108890/Z/15/Z)
  • Alzheimer’s Research UK (ARUK-PG2017B-10)
  • National Health and Medical Research Council (1078037, 1083656)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
Keywords
DNA methylation, chronological aging, sex differences, X chromosome, epigenome-wide association study, sexually dimorphic traits, blood DNA methylation, linear mixed models
MeSH terms
Adult, Aged, Aging, Female, Gene Expression Regulation, Humans, Male, Middle Aged, Sex Characteristics, Linear Models, CpG Islands, DNA Methylation, Quantitative Trait Loci, Chromosomes, Human, X, Genome-Wide Association Study

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