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An epigenome-wide association study of sex-specific chronological ageing
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 investiga...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938636/ https://www.ncbi.nlm.nih.gov/pubmed/31892350 http://dx.doi.org/10.1186/s13073-019-0693-z |
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author | McCartney, Daniel L. Zhang, Futao Hillary, Robert F. Zhang, Qian Stevenson, Anna J. Walker, Rosie M. Bermingham, Mairead L. Boutin, Thibaud Morris, Stewart W. Campbell, Archie Murray, Alison D. Whalley, Heather C. Porteous, David J. Hayward, Caroline Evans, Kathryn L. Chandra, Tamir Deary, Ian J. McIntosh, Andrew M. Yang, Jian Visscher, Peter M. McRae, Allan F. Marioni, Riccardo E. |
author_facet | McCartney, Daniel L. Zhang, Futao Hillary, Robert F. Zhang, Qian Stevenson, Anna J. Walker, Rosie M. Bermingham, Mairead L. Boutin, Thibaud Morris, Stewart W. Campbell, Archie Murray, Alison D. Whalley, Heather C. Porteous, David J. Hayward, Caroline Evans, Kathryn L. Chandra, Tamir Deary, Ian J. McIntosh, Andrew M. Yang, Jian Visscher, Peter M. McRae, Allan F. Marioni, Riccardo E. |
author_sort | McCartney, Daniel L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6938636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69386362020-01-06 An epigenome-wide association study of sex-specific chronological ageing McCartney, Daniel L. Zhang, Futao Hillary, Robert F. Zhang, Qian Stevenson, Anna J. Walker, Rosie M. Bermingham, Mairead L. Boutin, Thibaud Morris, Stewart W. Campbell, Archie Murray, Alison D. Whalley, Heather C. Porteous, David J. Hayward, Caroline Evans, Kathryn L. Chandra, Tamir Deary, Ian J. McIntosh, Andrew M. Yang, Jian Visscher, Peter M. McRae, Allan F. Marioni, Riccardo E. Genome Med Research 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. BioMed Central 2019-12-31 /pmc/articles/PMC6938636/ /pubmed/31892350 http://dx.doi.org/10.1186/s13073-019-0693-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research McCartney, Daniel L. Zhang, Futao Hillary, Robert F. Zhang, Qian Stevenson, Anna J. Walker, Rosie M. Bermingham, Mairead L. Boutin, Thibaud Morris, Stewart W. Campbell, Archie Murray, Alison D. Whalley, Heather C. Porteous, David J. Hayward, Caroline Evans, Kathryn L. Chandra, Tamir Deary, Ian J. McIntosh, Andrew M. Yang, Jian Visscher, Peter M. McRae, Allan F. Marioni, Riccardo E. An epigenome-wide association study of sex-specific chronological ageing |
title | An epigenome-wide association study of sex-specific chronological ageing |
title_full | An epigenome-wide association study of sex-specific chronological ageing |
title_fullStr | An epigenome-wide association study of sex-specific chronological ageing |
title_full_unstemmed | An epigenome-wide association study of sex-specific chronological ageing |
title_short | An epigenome-wide association study of sex-specific chronological ageing |
title_sort | epigenome-wide association study of sex-specific chronological ageing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938636/ https://www.ncbi.nlm.nih.gov/pubmed/31892350 http://dx.doi.org/10.1186/s13073-019-0693-z |
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