Cargando…

Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood

BACKGROUND: Epigenome-wide association studies (EWAS) have helped to define the associations between DNA methylation and many clinicopathologic and developmental traits. Since DNA methylation is affected by genetic variation at certain loci, EWAS associations may be potentially influenced by genetic...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Shaobo, Mancuso, Nicholas, Metayer, Catherine, Ma, Xiaomei, de Smith, Adam J., Wiemels, Joseph L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714153/
https://www.ncbi.nlm.nih.gov/pubmed/36457128
http://dx.doi.org/10.1186/s13148-022-01385-6
_version_ 1784842161902059520
author Li, Shaobo
Mancuso, Nicholas
Metayer, Catherine
Ma, Xiaomei
de Smith, Adam J.
Wiemels, Joseph L.
author_facet Li, Shaobo
Mancuso, Nicholas
Metayer, Catherine
Ma, Xiaomei
de Smith, Adam J.
Wiemels, Joseph L.
author_sort Li, Shaobo
collection PubMed
description BACKGROUND: Epigenome-wide association studies (EWAS) have helped to define the associations between DNA methylation and many clinicopathologic and developmental traits. Since DNA methylation is affected by genetic variation at certain loci, EWAS associations may be potentially influenced by genetic effects. However, a formal assessment of the value of incorporating genetic variation in EWAS evaluations is lacking especially for multiethnic populations. METHODS: Using single nucleotide polymorphism (SNP) from Illumina Omni Express or Affymetrix PMDA arrays and DNA methylation data from the Illumina 450 K or EPIC array from 1638 newborns of diverse genetic ancestries, we generated DNA methylation quantitative trait loci (mQTL) databases for both array types. We then investigated associations between neonatal DNA methylation and birthweight (incorporating gestational age) using EWAS modeling, and reported how EWAS results were influenced by controlling for mQTLs. RESULTS: For CpGs on the 450 K array, an average of 15.4% CpGs were assigned as mQTLs, while on the EPIC array, 23.0% CpGs were matched to mQTLs (adjusted P value < 0.05). The CpGs associated with SNPs were enriched in the CpG island shore regions. Correcting for mQTLs in the EWAS model for birthweight helped to increase significance levels for top hits. For CpGs overlapping genes associated with birthweight-related pathways (nutrition metabolism, biosynthesis, for example), accounting for mQTLs changed their regression coefficients more dramatically (> 20%) than for other random CpGs. CONCLUSION: DNA methylation levels at circa 20% CpGs in the genome were affected by common SNP genotypes. EWAS model fit significantly improved when taking these genetic effects into consideration. Genetic effects were stronger on CpGs overlapping genetic elements associated with control of gene expression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01385-6.
format Online
Article
Text
id pubmed-9714153
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-97141532022-12-02 Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood Li, Shaobo Mancuso, Nicholas Metayer, Catherine Ma, Xiaomei de Smith, Adam J. Wiemels, Joseph L. Clin Epigenetics Research BACKGROUND: Epigenome-wide association studies (EWAS) have helped to define the associations between DNA methylation and many clinicopathologic and developmental traits. Since DNA methylation is affected by genetic variation at certain loci, EWAS associations may be potentially influenced by genetic effects. However, a formal assessment of the value of incorporating genetic variation in EWAS evaluations is lacking especially for multiethnic populations. METHODS: Using single nucleotide polymorphism (SNP) from Illumina Omni Express or Affymetrix PMDA arrays and DNA methylation data from the Illumina 450 K or EPIC array from 1638 newborns of diverse genetic ancestries, we generated DNA methylation quantitative trait loci (mQTL) databases for both array types. We then investigated associations between neonatal DNA methylation and birthweight (incorporating gestational age) using EWAS modeling, and reported how EWAS results were influenced by controlling for mQTLs. RESULTS: For CpGs on the 450 K array, an average of 15.4% CpGs were assigned as mQTLs, while on the EPIC array, 23.0% CpGs were matched to mQTLs (adjusted P value < 0.05). The CpGs associated with SNPs were enriched in the CpG island shore regions. Correcting for mQTLs in the EWAS model for birthweight helped to increase significance levels for top hits. For CpGs overlapping genes associated with birthweight-related pathways (nutrition metabolism, biosynthesis, for example), accounting for mQTLs changed their regression coefficients more dramatically (> 20%) than for other random CpGs. CONCLUSION: DNA methylation levels at circa 20% CpGs in the genome were affected by common SNP genotypes. EWAS model fit significantly improved when taking these genetic effects into consideration. Genetic effects were stronger on CpGs overlapping genetic elements associated with control of gene expression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01385-6. BioMed Central 2022-12-01 /pmc/articles/PMC9714153/ /pubmed/36457128 http://dx.doi.org/10.1186/s13148-022-01385-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Shaobo
Mancuso, Nicholas
Metayer, Catherine
Ma, Xiaomei
de Smith, Adam J.
Wiemels, Joseph L.
Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title_full Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title_fullStr Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title_full_unstemmed Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title_short Incorporation of DNA methylation quantitative trait loci (mQTLs) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
title_sort incorporation of dna methylation quantitative trait loci (mqtls) in epigenome-wide association analysis: application to birthweight effects in neonatal whole blood
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714153/
https://www.ncbi.nlm.nih.gov/pubmed/36457128
http://dx.doi.org/10.1186/s13148-022-01385-6
work_keys_str_mv AT lishaobo incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood
AT mancusonicholas incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood
AT metayercatherine incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood
AT maxiaomei incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood
AT desmithadamj incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood
AT wiemelsjosephl incorporationofdnamethylationquantitativetraitlocimqtlsinepigenomewideassociationanalysisapplicationtobirthweighteffectsinneonatalwholeblood