Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function

被引:0
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作者
Johann S. Hawe
Rory Wilson
Katharina T. Schmid
Li Zhou
Lakshmi Narayanan Lakshmanan
Benjamin C. Lehne
Brigitte Kühnel
William R. Scott
Matthias Wielscher
Yik Weng Yew
Clemens Baumbach
Dominic P. Lee
Eirini Marouli
Manon Bernard
Liliane Pfeiffer
Pamela R. Matías-García
Matias I. Autio
Stephane Bourgeois
Christian Herder
Ville Karhunen
Thomas Meitinger
Holger Prokisch
Wolfgang Rathmann
Michael Roden
Sylvain Sebert
Jean Shin
Konstantin Strauch
Weihua Zhang
Wilson L. W. Tan
Stefanie M. Hauck
Juliane Merl-Pham
Harald Grallert
Eudes G. V. Barbosa
Thomas Illig
Annette Peters
Tomas Paus
Zdenka Pausova
Panos Deloukas
Roger S. Y. Foo
Marjo-Riitta Jarvelin
Jaspal S. Kooner
Marie Loh
Matthias Heinig
Christian Gieger
Melanie Waldenberger
John C. Chambers
机构
[1] Deutsches Forschungszentrum für Gesundheit und Umwelt,Institute of Computational Biology
[2] Helmholtz Zentrum München,Department of Informatics
[3] Technical University of Munich,Institute of Epidemiology
[4] Helmholtz Zentrum München,Research Unit Molecular Epidemiology
[5] German Research Center for Environmental Health,Department of Epidemiology and Biostatistics
[6] Helmholtz Zentrum München,Centre for Genomic Health
[7] German Research Centre for Environmental Health,William Harvey Research Institute, Barts and the London School of Medicine and Dentistry
[8] Lee Kong Chian School of Medicine,Departments of Physiology and Nutritional Sciences
[9] Imperial College London,The Hospital for Sick Children
[10] Genome Institute of Singapore,Cardiovascular Research Institute, National University Health Systems
[11] Queen Mary University of London,Institute for Clinical Diabetology
[12] Queen Mary University of London,Division of Endocrinology and Diabetology, Medical Faculty
[13] University of Toronto,Center for Life Course Health Research, Faculty of Medicine
[14] University of Toronto,Institute of Human Genetics
[15] National University of Singapore,Institute of Human Genetics
[16] German Center for Diabetes Research (DZD),Institute of Neurogenomics
[17] partner site Düsseldorf,Institute for Biometrics and Epidemiology
[18] German Diabetes Center,Biocenter Oulu
[19] Leibniz Center for Diabetes Research at Heinrich Heine University,Department for Genomics of Common Diseases
[20] Heinrich Heine University,Chair of Genetic Epidemiology, IBE, Faculty of Medicine
[21] University of Oulu,Institute of Genetic Epidemiology
[22] Helmholtz Zentrum München,Department of Cardiology
[23] German Research Center for Environmental Health,Research Unit Protein Science
[24] Technical University Munich,Hannover Unified Biobank
[25] Helmholtz Zentrum München,Institute for Human Genetics
[26] German Research Center for Environmental Health,Centre Hospitalier Universitaire Sainte
[27] German Diabetes Center,Justine
[28] Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf,Unit of Primary Care
[29] University of Oulu,National Heart and Lung Institute
[30] School of Public Health,Department of Twin Research and Genetic Epidemiology
[31] Imperial College London,Department of Informatics
[32] LMU Munich,Oxford Centre for Diabetes, Endocrinology & Metabolism
[33] Helmholtz Zentrum München,Department of Genetic Medicine and Development
[34] German Research Center for Environmental Health,University of Cambridge Metabolic Research Labs, Institute of Metabolic Science
[35] Institute of Medical Biostatistics,Cambridge NIHR Biomedical Research Centre
[36] Epidemiology and Informatics (IMBEI),St. John’s Institute of Dermatology
[37] University Medical Center,undefined
[38] Johannes Gutenberg University,undefined
[39] Ealing Hospital,undefined
[40] London North West Healthcare NHS Trust,undefined
[41] Helmholtz Zentrum München,undefined
[42] German Research Centre for Environmental Health,undefined
[43] German Center for Diabetes Research (DZD),undefined
[44] Hannover Medical School,undefined
[45] Hannover Medical School,undefined
[46] German Research Center for Cardiovascular Disease (DZHK),undefined
[47] partner site Munich Heart Alliance,undefined
[48] University of Montreal,undefined
[49] Oulu University Hospital,undefined
[50] Imperial College London,undefined
来源
Nature Genetics | 2022年 / 54卷
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摘要
We determined the relationships between DNA sequence variation and DNA methylation using blood samples from 3,799 Europeans and 3,195 South Asians. We identify 11,165,559 SNP–CpG associations (methylation quantitative trait loci (meQTL), P < 10−14), including 467,915 meQTL that operate in trans. The meQTL are enriched for functionally relevant characteristics, including shared chromatin state, High-throuhgput chromosome conformation interaction, and association with gene expression, metabolic variation and clinical traits. We use molecular interaction and colocalization analyses to identify multiple nuclear regulatory pathways linking meQTL loci to phenotypic variation, including UBASH3B (body mass index), NFKBIE (rheumatoid arthritis), MGA (blood pressure) and COMMD7 (white cell counts). For rs6511961, chromatin immunoprecipitation followed by sequencing (ChIP–seq) validates zinc finger protein (ZNF)333 as the likely trans acting effector protein. Finally, we used interaction analyses to identify population- and lineage-specific meQTL, including rs174548 in FADS1, with the strongest effect in CD8+ T cells, thus linking fatty acid metabolism with immune dysregulation and asthma. Our study advances understanding of the potential pathways linking genetic variation to human phenotype.
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页码:18 / 29
页数:11
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