Cargando…

DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors

DNA methylation-based biological age (DNAm age), as well as genome-wide average DNA methylation, have been reported to predict breast cancer risk. We aimed to investigate the associations between these DNA methylation-based risk factors and 18 conventional breast cancer risk factors for disease-free...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Minyuan, Wong, Ee Ming, Nguyen, Tuong L., Dite, Gillian S., Stone, Jennifer, Dugué, Pierre-Antoine, Giles, Graham G., Southey, Melissa C., Milne, Roger L., Hopper, John L., Li, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803691/
https://www.ncbi.nlm.nih.gov/pubmed/31636290
http://dx.doi.org/10.1038/s41598-019-51475-4
_version_ 1783460998911361024
author Chen, Minyuan
Wong, Ee Ming
Nguyen, Tuong L.
Dite, Gillian S.
Stone, Jennifer
Dugué, Pierre-Antoine
Giles, Graham G.
Southey, Melissa C.
Milne, Roger L.
Hopper, John L.
Li, Shuai
author_facet Chen, Minyuan
Wong, Ee Ming
Nguyen, Tuong L.
Dite, Gillian S.
Stone, Jennifer
Dugué, Pierre-Antoine
Giles, Graham G.
Southey, Melissa C.
Milne, Roger L.
Hopper, John L.
Li, Shuai
author_sort Chen, Minyuan
collection PubMed
description DNA methylation-based biological age (DNAm age), as well as genome-wide average DNA methylation, have been reported to predict breast cancer risk. We aimed to investigate the associations between these DNA methylation-based risk factors and 18 conventional breast cancer risk factors for disease-free women. A sample of 479 individuals from the Australian Mammographic Density Twins and Sisters was used for discovery, a sample of 3354 individuals from the Melbourne Collaborative Cohort Study was used for replication, and meta-analyses pooling results from the two studies were conducted. DNAm age based on three epigenetic clocks (Hannum, Horvath and Levine) and genome-wide average DNA methylation were calculated using the HumanMethylation 450 K BeadChip assay data. The DNAm age measures were positively associated with body mass index (BMI), smoking, alcohol drinking and age at menarche (all nominal P < 0.05). Genome-wide average DNA methylation was negatively associated with smoking and number of live births, and positively associated with age at first live birth (all nominal P < 0.05). The association of DNAm age with BMI was also evident in within-twin-pair analyses that control for familial factors. This study suggests that some lifestyle and hormonal risk factors are associated with these DNA methylation-based breast cancer risk factors, and the observed associations are unlikely to be due to familial confounding but are likely causal. DNA methylation-based risk factors could interplay with conventional risk factors in modifying breast cancer risk.
format Online
Article
Text
id pubmed-6803691
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-68036912019-10-24 DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors Chen, Minyuan Wong, Ee Ming Nguyen, Tuong L. Dite, Gillian S. Stone, Jennifer Dugué, Pierre-Antoine Giles, Graham G. Southey, Melissa C. Milne, Roger L. Hopper, John L. Li, Shuai Sci Rep Article DNA methylation-based biological age (DNAm age), as well as genome-wide average DNA methylation, have been reported to predict breast cancer risk. We aimed to investigate the associations between these DNA methylation-based risk factors and 18 conventional breast cancer risk factors for disease-free women. A sample of 479 individuals from the Australian Mammographic Density Twins and Sisters was used for discovery, a sample of 3354 individuals from the Melbourne Collaborative Cohort Study was used for replication, and meta-analyses pooling results from the two studies were conducted. DNAm age based on three epigenetic clocks (Hannum, Horvath and Levine) and genome-wide average DNA methylation were calculated using the HumanMethylation 450 K BeadChip assay data. The DNAm age measures were positively associated with body mass index (BMI), smoking, alcohol drinking and age at menarche (all nominal P < 0.05). Genome-wide average DNA methylation was negatively associated with smoking and number of live births, and positively associated with age at first live birth (all nominal P < 0.05). The association of DNAm age with BMI was also evident in within-twin-pair analyses that control for familial factors. This study suggests that some lifestyle and hormonal risk factors are associated with these DNA methylation-based breast cancer risk factors, and the observed associations are unlikely to be due to familial confounding but are likely causal. DNA methylation-based risk factors could interplay with conventional risk factors in modifying breast cancer risk. Nature Publishing Group UK 2019-10-21 /pmc/articles/PMC6803691/ /pubmed/31636290 http://dx.doi.org/10.1038/s41598-019-51475-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Minyuan
Wong, Ee Ming
Nguyen, Tuong L.
Dite, Gillian S.
Stone, Jennifer
Dugué, Pierre-Antoine
Giles, Graham G.
Southey, Melissa C.
Milne, Roger L.
Hopper, John L.
Li, Shuai
DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title_full DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title_fullStr DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title_full_unstemmed DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title_short DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors
title_sort dna methylation-based biological age, genome-wide average dna methylation, and conventional breast cancer risk factors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803691/
https://www.ncbi.nlm.nih.gov/pubmed/31636290
http://dx.doi.org/10.1038/s41598-019-51475-4
work_keys_str_mv AT chenminyuan dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT wongeeming dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT nguyentuongl dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT ditegillians dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT stonejennifer dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT duguepierreantoine dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT gilesgrahamg dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT southeymelissac dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT milnerogerl dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT hopperjohnl dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors
AT lishuai dnamethylationbasedbiologicalagegenomewideaveragednamethylationandconventionalbreastcancerriskfactors