Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes

DNA methylation variations are prevalent in human obesity but evidence of a causative role in disease pathogenesis is limited. Here, we combine epigenome-wide association and integrative genomics to investigate the impact of adipocyte DNA methylation variations in human obesity. We discover extensiv...

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Main Authors: McAllan, Liam, Baranasic, Damir, Villicaña, Sergio, Brown, Scarlett, Zhang, Weihua, Lehne, Benjamin, Adamo, Marco, Jenkinson, Andrew, Elkalaawy, Mohamed, Mohammadi, Borzoueh, Hashemi, Majid, Fernandes, Nadia, Lambie, Nathalie, Williams, Richard, Christiansen, Colette, Yang, Youwen, Zudina, Liudmila, Lagou, Vasiliki, Tan, Sili, Castillo-Fernandez, Juan, King, James W. D., Soong, Richie, Elliott, Paul, Scott, James, Prokopenko, Inga, Cebola, Inês, Loh, Marie, Lenhard, Boris, Batterham, Rachel L., Bell, Jordana T., Chambers, John Campbell, Kooner, Jaspal S., Scott, William R.
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169757
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-169757
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Diabetes Mellitus
DNA Methylation
spellingShingle Science::Medicine
Diabetes Mellitus
DNA Methylation
McAllan, Liam
Baranasic, Damir
Villicaña, Sergio
Brown, Scarlett
Zhang, Weihua
Lehne, Benjamin
Adamo, Marco
Jenkinson, Andrew
Elkalaawy, Mohamed
Mohammadi, Borzoueh
Hashemi, Majid
Fernandes, Nadia
Lambie, Nathalie
Williams, Richard
Christiansen, Colette
Yang, Youwen
Zudina, Liudmila
Lagou, Vasiliki
Tan, Sili
Castillo-Fernandez, Juan
King, James W. D.
Soong, Richie
Elliott, Paul
Scott, James
Prokopenko, Inga
Cebola, Inês
Loh, Marie
Lenhard, Boris
Batterham, Rachel L.
Bell, Jordana T.
Chambers, John Campbell
Kooner, Jaspal S.
Scott, William R.
Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
description DNA methylation variations are prevalent in human obesity but evidence of a causative role in disease pathogenesis is limited. Here, we combine epigenome-wide association and integrative genomics to investigate the impact of adipocyte DNA methylation variations in human obesity. We discover extensive DNA methylation changes that are robustly associated with obesity (N = 190 samples, 691 loci in subcutaneous and 173 loci in visceral adipocytes, P < 1 × 10-7). We connect obesity-associated methylation variations to transcriptomic changes at >500 target genes, and identify putative methylation-transcription factor interactions. Through Mendelian Randomisation, we infer causal effects of methylation on obesity and obesity-induced metabolic disturbances at 59 independent loci. Targeted methylation sequencing, CRISPR-activation and gene silencing in adipocytes, further identifies regional methylation variations, underlying regulatory elements and novel cellular metabolic effects. Our results indicate DNA methylation is an important determinant of human obesity and its metabolic complications, and reveal mechanisms through which altered methylation may impact adipocyte functions.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
McAllan, Liam
Baranasic, Damir
Villicaña, Sergio
Brown, Scarlett
Zhang, Weihua
Lehne, Benjamin
Adamo, Marco
Jenkinson, Andrew
Elkalaawy, Mohamed
Mohammadi, Borzoueh
Hashemi, Majid
Fernandes, Nadia
Lambie, Nathalie
Williams, Richard
Christiansen, Colette
Yang, Youwen
Zudina, Liudmila
Lagou, Vasiliki
Tan, Sili
Castillo-Fernandez, Juan
King, James W. D.
Soong, Richie
Elliott, Paul
Scott, James
Prokopenko, Inga
Cebola, Inês
Loh, Marie
Lenhard, Boris
Batterham, Rachel L.
Bell, Jordana T.
Chambers, John Campbell
Kooner, Jaspal S.
Scott, William R.
format Article
author McAllan, Liam
Baranasic, Damir
Villicaña, Sergio
Brown, Scarlett
Zhang, Weihua
Lehne, Benjamin
Adamo, Marco
Jenkinson, Andrew
Elkalaawy, Mohamed
Mohammadi, Borzoueh
Hashemi, Majid
Fernandes, Nadia
Lambie, Nathalie
Williams, Richard
Christiansen, Colette
Yang, Youwen
Zudina, Liudmila
Lagou, Vasiliki
Tan, Sili
Castillo-Fernandez, Juan
King, James W. D.
Soong, Richie
Elliott, Paul
Scott, James
Prokopenko, Inga
Cebola, Inês
Loh, Marie
Lenhard, Boris
Batterham, Rachel L.
Bell, Jordana T.
Chambers, John Campbell
Kooner, Jaspal S.
Scott, William R.
author_sort McAllan, Liam
title Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
title_short Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
title_full Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
title_fullStr Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
title_full_unstemmed Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes
title_sort integrative genomic analyses in adipocytes implicate dna methylation in human obesity and diabetes
publishDate 2023
url https://hdl.handle.net/10356/169757
_version_ 1779156796766683136
spelling sg-ntu-dr.10356-1697572023-08-06T15:38:18Z Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes McAllan, Liam Baranasic, Damir Villicaña, Sergio Brown, Scarlett Zhang, Weihua Lehne, Benjamin Adamo, Marco Jenkinson, Andrew Elkalaawy, Mohamed Mohammadi, Borzoueh Hashemi, Majid Fernandes, Nadia Lambie, Nathalie Williams, Richard Christiansen, Colette Yang, Youwen Zudina, Liudmila Lagou, Vasiliki Tan, Sili Castillo-Fernandez, Juan King, James W. D. Soong, Richie Elliott, Paul Scott, James Prokopenko, Inga Cebola, Inês Loh, Marie Lenhard, Boris Batterham, Rachel L. Bell, Jordana T. Chambers, John Campbell Kooner, Jaspal S. Scott, William R. Lee Kong Chian School of Medicine (LKCMedicine) Translational Laboratory in Genetic Medicine (TLGM), A*STAR Science::Medicine Diabetes Mellitus DNA Methylation DNA methylation variations are prevalent in human obesity but evidence of a causative role in disease pathogenesis is limited. Here, we combine epigenome-wide association and integrative genomics to investigate the impact of adipocyte DNA methylation variations in human obesity. We discover extensive DNA methylation changes that are robustly associated with obesity (N = 190 samples, 691 loci in subcutaneous and 173 loci in visceral adipocytes, P < 1 × 10-7). We connect obesity-associated methylation variations to transcriptomic changes at >500 target genes, and identify putative methylation-transcription factor interactions. Through Mendelian Randomisation, we infer causal effects of methylation on obesity and obesity-induced metabolic disturbances at 59 independent loci. Targeted methylation sequencing, CRISPR-activation and gene silencing in adipocytes, further identifies regional methylation variations, underlying regulatory elements and novel cellular metabolic effects. Our results indicate DNA methylation is an important determinant of human obesity and its metabolic complications, and reveal mechanisms through which altered methylation may impact adipocyte functions. Published version This work was funded by the Medical Research Council UK (MR/ K002414/1, W.R.S.), the Wellcome Trust (219602/Z/19/Z, W.R.S.) and the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC, W.R.S.). The Illumina HumanMethylation450 Beadchip data used in this research was generated by the High-Throughput Genomics Group at the Wellcome Trust Centre for Human Genetics (funded by Wellcome Trust grant reference 090532/Z/09/Z). The Illumina EPIC Beadchip data were generated in collaboration with R.S., funded by the European Union FP7 (EpiMigrant, 279143, J.C.C.). The Imperial BRC Genomics Facility (supported by NIHR funding to the Imperial Biomedical Research Centre) provided resources and support that contributed to the RNA sequencing and targeted methylation sequencing results. The TwinsUK research components were funded by JPI ERA-HDHL DIMENSION via the Biotechnology and Biological Sciences Research Council (BB/S020845/1, J.T.B.). TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, Chronic Disease Research Foundation (CDRF), Zoe Global Ltd and the NIHR-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust in partnership with King’s College London (J.T.B.). R.L.B. received funding from National Institute for Health and Care Research (RP-2015-06-005), Sir Jules Thorn Charitable Trust (Biomedical Research Award) and Rosetrees Trust and Robert Luff Foundation grant CM710. D.B. was awarded a NPIF Rutherford Fellowship (MC_EX_MR/S300007/1). I.C. is recipient of a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (224662/Z/21/Z). I.P., L.Z. and V.L. were funded in part by the Diabetes UK (BDA number: 20/0006307), the European Union’s Horizon 2020 research and innovation programme (LONGITOOLS, H2020-SC1-2019-874739), Agence Nationale de la Recherche (PreciDIAB, ANR-18-IBHU-0001), by the European Union through the “Fonds européen de développement regional” (FEDER), by the “Conseil Régional des Hauts-de-France” (Hauts-de-France Regional Council) and by the “Métropole Européenne de Lille” (MEL, European Metropolis of Lille). 2023-08-02T02:18:00Z 2023-08-02T02:18:00Z 2023 Journal Article McAllan, L., Baranasic, D., Villicaña, S., Brown, S., Zhang, W., Lehne, B., Adamo, M., Jenkinson, A., Elkalaawy, M., Mohammadi, B., Hashemi, M., Fernandes, N., Lambie, N., Williams, R., Christiansen, C., Yang, Y., Zudina, L., Lagou, V., Tan, S., ...Scott, W. R. (2023). Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes. Nature Communications, 14(1), 2784-. https://dx.doi.org/10.1038/s41467-023-38439-z 2041-1723 https://hdl.handle.net/10356/169757 10.1038/s41467-023-38439-z 37188674 2-s2.0-85159437073 1 14 2784 en Nature Communications © The Author(s) 2023. Open Access. This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/ licenses/by/4.0/. application/pdf