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The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes
BACKGROUND: Methylation quantitative trait loci (mQTLs) are the genetic variants that may affect the DNA methylation patterns of CpG sites. However, their roles in influencing the disturbances of smoking-related epigenetic changes have not been well established. This study was conducted to address w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561570/ https://www.ncbi.nlm.nih.gov/pubmed/28824732 http://dx.doi.org/10.1186/s13148-017-0387-6 |
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author | Gao, Xu Thomsen, Hauke Zhang, Yan Breitling, Lutz Philipp Brenner, Hermann |
author_facet | Gao, Xu Thomsen, Hauke Zhang, Yan Breitling, Lutz Philipp Brenner, Hermann |
author_sort | Gao, Xu |
collection | PubMed |
description | BACKGROUND: Methylation quantitative trait loci (mQTLs) are the genetic variants that may affect the DNA methylation patterns of CpG sites. However, their roles in influencing the disturbances of smoking-related epigenetic changes have not been well established. This study was conducted to address whether mQTLs exist in the vicinity of smoking-related CpG sites (± 50 kb) and to examine their associations with smoking exposure and all-cause mortality in older adults. RESULTS: We obtained DNA methylation profiles in whole blood samples by Illumina Infinium Human Methylation 450 BeadChip array of two independent subsamples of the ESTHER study (discovery set, n = 581; validation set, n = 368) and their corresponding genotyping data using the Illumina Infinium OncoArray BeadChip. After correction for multiple testing (FDR), we successfully identified that 70 out of 151 previously reported smoking-related CpG sites were significantly associated with 192 SNPs within the 50 kb search window of each locus. The 192 mQTLs significantly influenced the active smoking-related DNA methylation changes, with percentage changes ranging from 0.01 to 18.96%, especially for the weakly/moderately smoking-related CpG sites. However, these identified mQTLs were not directly associated with active smoking exposure or all-cause mortality. CONCLUSIONS: Our findings clearly demonstrated that if not dealt with properly, the mQTLs might impair the power of epigenetic-based models of smoking exposure to a certain extent. In addition, such genetic variants could be the key factor to distinguish between the heritable and smoking-induced impact on epigenome disparities. These mQTLs are of special importance when DNA methylation markers measured by Illumina Infinium assay are used for any comparative population studies related to smoking-related cancers and chronic diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0387-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5561570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55615702017-08-18 The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes Gao, Xu Thomsen, Hauke Zhang, Yan Breitling, Lutz Philipp Brenner, Hermann Clin Epigenetics Research BACKGROUND: Methylation quantitative trait loci (mQTLs) are the genetic variants that may affect the DNA methylation patterns of CpG sites. However, their roles in influencing the disturbances of smoking-related epigenetic changes have not been well established. This study was conducted to address whether mQTLs exist in the vicinity of smoking-related CpG sites (± 50 kb) and to examine their associations with smoking exposure and all-cause mortality in older adults. RESULTS: We obtained DNA methylation profiles in whole blood samples by Illumina Infinium Human Methylation 450 BeadChip array of two independent subsamples of the ESTHER study (discovery set, n = 581; validation set, n = 368) and their corresponding genotyping data using the Illumina Infinium OncoArray BeadChip. After correction for multiple testing (FDR), we successfully identified that 70 out of 151 previously reported smoking-related CpG sites were significantly associated with 192 SNPs within the 50 kb search window of each locus. The 192 mQTLs significantly influenced the active smoking-related DNA methylation changes, with percentage changes ranging from 0.01 to 18.96%, especially for the weakly/moderately smoking-related CpG sites. However, these identified mQTLs were not directly associated with active smoking exposure or all-cause mortality. CONCLUSIONS: Our findings clearly demonstrated that if not dealt with properly, the mQTLs might impair the power of epigenetic-based models of smoking exposure to a certain extent. In addition, such genetic variants could be the key factor to distinguish between the heritable and smoking-induced impact on epigenome disparities. These mQTLs are of special importance when DNA methylation markers measured by Illumina Infinium assay are used for any comparative population studies related to smoking-related cancers and chronic diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0387-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-17 /pmc/articles/PMC5561570/ /pubmed/28824732 http://dx.doi.org/10.1186/s13148-017-0387-6 Text en © The Author(s). 2017 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 Gao, Xu Thomsen, Hauke Zhang, Yan Breitling, Lutz Philipp Brenner, Hermann The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title | The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title_full | The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title_fullStr | The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title_full_unstemmed | The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title_short | The impact of methylation quantitative trait loci (mQTLs) on active smoking-related DNA methylation changes |
title_sort | impact of methylation quantitative trait loci (mqtls) on active smoking-related dna methylation changes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561570/ https://www.ncbi.nlm.nih.gov/pubmed/28824732 http://dx.doi.org/10.1186/s13148-017-0387-6 |
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