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DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

BACKGROUND: DNA methylation is an essential epigenetic mechanism involved in gene regulation and disease, but little is known about the mechanisms underlying inter-individual variation in methylation profiles. Here we measured methylation levels at 22,290 CpG dinucleotides in lymphoblastoid cell lin...

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Autores principales: Bell, Jordana T, Pai, Athma A, Pickrell, Joseph K, Gaffney, Daniel J, Pique-Regi, Roger, Degner, Jacob F, Gilad, Yoav, Pritchard, Jonathan K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091299/
https://www.ncbi.nlm.nih.gov/pubmed/21251332
http://dx.doi.org/10.1186/gb-2011-12-1-r10
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author Bell, Jordana T
Pai, Athma A
Pickrell, Joseph K
Gaffney, Daniel J
Pique-Regi, Roger
Degner, Jacob F
Gilad, Yoav
Pritchard, Jonathan K
author_facet Bell, Jordana T
Pai, Athma A
Pickrell, Joseph K
Gaffney, Daniel J
Pique-Regi, Roger
Degner, Jacob F
Gilad, Yoav
Pritchard, Jonathan K
author_sort Bell, Jordana T
collection PubMed
description BACKGROUND: DNA methylation is an essential epigenetic mechanism involved in gene regulation and disease, but little is known about the mechanisms underlying inter-individual variation in methylation profiles. Here we measured methylation levels at 22,290 CpG dinucleotides in lymphoblastoid cell lines from 77 HapMap Yoruba individuals, for which genome-wide gene expression and genotype data were also available. RESULTS: Association analyses of methylation levels with more than three million common single nucleotide polymorphisms (SNPs) identified 180 CpG-sites in 173 genes that were associated with nearby SNPs (putatively in cis, usually within 5 kb) at a false discovery rate of 10%. The most intriguing trans signal was obtained for SNP rs10876043 in the disco-interacting protein 2 homolog B gene (DIP2B, previously postulated to play a role in DNA methylation), that had a genome-wide significant association with the first principal component of patterns of methylation; however, we found only modest signal of trans-acting associations overall. As expected, we found significant negative correlations between promoter methylation and gene expression levels measured by RNA-sequencing across genes. Finally, there was a significant overlap of SNPs that were associated with both methylation and gene expression levels. CONCLUSIONS: Our results demonstrate a strong genetic component to inter-individual variation in DNA methylation profiles. Furthermore, there was an enrichment of SNPs that affect both methylation and gene expression, providing evidence for shared mechanisms in a fraction of genes.
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spelling pubmed-30912992011-05-11 DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines Bell, Jordana T Pai, Athma A Pickrell, Joseph K Gaffney, Daniel J Pique-Regi, Roger Degner, Jacob F Gilad, Yoav Pritchard, Jonathan K Genome Biol Research BACKGROUND: DNA methylation is an essential epigenetic mechanism involved in gene regulation and disease, but little is known about the mechanisms underlying inter-individual variation in methylation profiles. Here we measured methylation levels at 22,290 CpG dinucleotides in lymphoblastoid cell lines from 77 HapMap Yoruba individuals, for which genome-wide gene expression and genotype data were also available. RESULTS: Association analyses of methylation levels with more than three million common single nucleotide polymorphisms (SNPs) identified 180 CpG-sites in 173 genes that were associated with nearby SNPs (putatively in cis, usually within 5 kb) at a false discovery rate of 10%. The most intriguing trans signal was obtained for SNP rs10876043 in the disco-interacting protein 2 homolog B gene (DIP2B, previously postulated to play a role in DNA methylation), that had a genome-wide significant association with the first principal component of patterns of methylation; however, we found only modest signal of trans-acting associations overall. As expected, we found significant negative correlations between promoter methylation and gene expression levels measured by RNA-sequencing across genes. Finally, there was a significant overlap of SNPs that were associated with both methylation and gene expression levels. CONCLUSIONS: Our results demonstrate a strong genetic component to inter-individual variation in DNA methylation profiles. Furthermore, there was an enrichment of SNPs that affect both methylation and gene expression, providing evidence for shared mechanisms in a fraction of genes. BioMed Central 2011 2011-01-20 /pmc/articles/PMC3091299/ /pubmed/21251332 http://dx.doi.org/10.1186/gb-2011-12-1-r10 Text en Copyright ©2011 Bell et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bell, Jordana T
Pai, Athma A
Pickrell, Joseph K
Gaffney, Daniel J
Pique-Regi, Roger
Degner, Jacob F
Gilad, Yoav
Pritchard, Jonathan K
DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title_full DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title_fullStr DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title_full_unstemmed DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title_short DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
title_sort dna methylation patterns associate with genetic and gene expression variation in hapmap cell lines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091299/
https://www.ncbi.nlm.nih.gov/pubmed/21251332
http://dx.doi.org/10.1186/gb-2011-12-1-r10
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