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Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome

BACKGROUND: The functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these...

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Autores principales: Cheung, Warren A., Shao, Xiaojian, Morin, Andréanne, Siroux, Valérie, Kwan, Tony, Ge, Bing, Aïssi, Dylan, Chen, Lu, Vasquez, Louella, Allum, Fiona, Guénard, Frédéric, Bouzigon, Emmanuelle, Simon, Marie-Michelle, Boulier, Elodie, Redensek, Adriana, Watt, Stephen, Datta, Avik, Clarke, Laura, Flicek, Paul, Mead, Daniel, Paul, Dirk S., Beck, Stephan, Bourque, Guillaume, Lathrop, Mark, Tchernof, André, Vohl, Marie-Claude, Demenais, Florence, Pin, Isabelle, Downes, Kate, Stunnenberg, Hendrick G., Soranzo, Nicole, Pastinen, Tomi, Grundberg, Elin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346261/
https://www.ncbi.nlm.nih.gov/pubmed/28283040
http://dx.doi.org/10.1186/s13059-017-1173-7
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author Cheung, Warren A.
Shao, Xiaojian
Morin, Andréanne
Siroux, Valérie
Kwan, Tony
Ge, Bing
Aïssi, Dylan
Chen, Lu
Vasquez, Louella
Allum, Fiona
Guénard, Frédéric
Bouzigon, Emmanuelle
Simon, Marie-Michelle
Boulier, Elodie
Redensek, Adriana
Watt, Stephen
Datta, Avik
Clarke, Laura
Flicek, Paul
Mead, Daniel
Paul, Dirk S.
Beck, Stephan
Bourque, Guillaume
Lathrop, Mark
Tchernof, André
Vohl, Marie-Claude
Demenais, Florence
Pin, Isabelle
Downes, Kate
Stunnenberg, Hendrick G.
Soranzo, Nicole
Pastinen, Tomi
Grundberg, Elin
author_facet Cheung, Warren A.
Shao, Xiaojian
Morin, Andréanne
Siroux, Valérie
Kwan, Tony
Ge, Bing
Aïssi, Dylan
Chen, Lu
Vasquez, Louella
Allum, Fiona
Guénard, Frédéric
Bouzigon, Emmanuelle
Simon, Marie-Michelle
Boulier, Elodie
Redensek, Adriana
Watt, Stephen
Datta, Avik
Clarke, Laura
Flicek, Paul
Mead, Daniel
Paul, Dirk S.
Beck, Stephan
Bourque, Guillaume
Lathrop, Mark
Tchernof, André
Vohl, Marie-Claude
Demenais, Florence
Pin, Isabelle
Downes, Kate
Stunnenberg, Hendrick G.
Soranzo, Nicole
Pastinen, Tomi
Grundberg, Elin
author_sort Cheung, Warren A.
collection PubMed
description BACKGROUND: The functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these investigations have only been carried out in a limited set of samples. RESULTS: We describe a large-scale coordinated study of allelic and non-allelic effects on DNA methylation, histone mark deposition, and gene expression, detecting the interrelations between epigenetic and functional features at unprecedented resolution. We use information from whole genome and targeted bisulfite sequencing from 910 samples to perform genotype-dependent analyses of allele-specific methylation (ASM) and non-allelic methylation (mQTL). In addition, we introduce a novel genotype-independent test to detect methylation imbalance between chromosomes. Of the ~2.2 million CpGs tested for ASM, mQTL, and genotype-independent effects, we identify ~32% as being genetically regulated (ASM or mQTL) and ~14% as being putatively epigenetically regulated. We also show that epigenetically driven effects are strongly enriched in repressed regions and near transcription start sites, whereas the genetically regulated CpGs are enriched in enhancers. Known imprinted regions are enriched among epigenetically regulated loci, but we also observe several novel genomic regions (e.g., HOX genes) as being epigenetically regulated. Finally, we use our ASM datasets for functional interpretation of disease-associated loci and show the advantage of utilizing naïve T cells for understanding autoimmune diseases. CONCLUSIONS: Our rich catalogue of haploid methylomes across multiple tissues will allow validation of epigenome association studies and exploration of new biological models for allelic exclusion in the human genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1173-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-53462612017-03-14 Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome Cheung, Warren A. Shao, Xiaojian Morin, Andréanne Siroux, Valérie Kwan, Tony Ge, Bing Aïssi, Dylan Chen, Lu Vasquez, Louella Allum, Fiona Guénard, Frédéric Bouzigon, Emmanuelle Simon, Marie-Michelle Boulier, Elodie Redensek, Adriana Watt, Stephen Datta, Avik Clarke, Laura Flicek, Paul Mead, Daniel Paul, Dirk S. Beck, Stephan Bourque, Guillaume Lathrop, Mark Tchernof, André Vohl, Marie-Claude Demenais, Florence Pin, Isabelle Downes, Kate Stunnenberg, Hendrick G. Soranzo, Nicole Pastinen, Tomi Grundberg, Elin Genome Biol Research BACKGROUND: The functional impact of genetic variation has been extensively surveyed, revealing that genetic changes correlated to phenotypes lie mostly in non-coding genomic regions. Studies have linked allele-specific genetic changes to gene expression, DNA methylation, and histone marks but these investigations have only been carried out in a limited set of samples. RESULTS: We describe a large-scale coordinated study of allelic and non-allelic effects on DNA methylation, histone mark deposition, and gene expression, detecting the interrelations between epigenetic and functional features at unprecedented resolution. We use information from whole genome and targeted bisulfite sequencing from 910 samples to perform genotype-dependent analyses of allele-specific methylation (ASM) and non-allelic methylation (mQTL). In addition, we introduce a novel genotype-independent test to detect methylation imbalance between chromosomes. Of the ~2.2 million CpGs tested for ASM, mQTL, and genotype-independent effects, we identify ~32% as being genetically regulated (ASM or mQTL) and ~14% as being putatively epigenetically regulated. We also show that epigenetically driven effects are strongly enriched in repressed regions and near transcription start sites, whereas the genetically regulated CpGs are enriched in enhancers. Known imprinted regions are enriched among epigenetically regulated loci, but we also observe several novel genomic regions (e.g., HOX genes) as being epigenetically regulated. Finally, we use our ASM datasets for functional interpretation of disease-associated loci and show the advantage of utilizing naïve T cells for understanding autoimmune diseases. CONCLUSIONS: Our rich catalogue of haploid methylomes across multiple tissues will allow validation of epigenome association studies and exploration of new biological models for allelic exclusion in the human genome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1173-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-10 /pmc/articles/PMC5346261/ /pubmed/28283040 http://dx.doi.org/10.1186/s13059-017-1173-7 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
Cheung, Warren A.
Shao, Xiaojian
Morin, Andréanne
Siroux, Valérie
Kwan, Tony
Ge, Bing
Aïssi, Dylan
Chen, Lu
Vasquez, Louella
Allum, Fiona
Guénard, Frédéric
Bouzigon, Emmanuelle
Simon, Marie-Michelle
Boulier, Elodie
Redensek, Adriana
Watt, Stephen
Datta, Avik
Clarke, Laura
Flicek, Paul
Mead, Daniel
Paul, Dirk S.
Beck, Stephan
Bourque, Guillaume
Lathrop, Mark
Tchernof, André
Vohl, Marie-Claude
Demenais, Florence
Pin, Isabelle
Downes, Kate
Stunnenberg, Hendrick G.
Soranzo, Nicole
Pastinen, Tomi
Grundberg, Elin
Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title_full Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title_fullStr Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title_full_unstemmed Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title_short Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
title_sort functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346261/
https://www.ncbi.nlm.nih.gov/pubmed/28283040
http://dx.doi.org/10.1186/s13059-017-1173-7
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