Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity

Here, we performed a genome-wide search for methylation sites that contribute to the risk of obesity. We integrated methylation quantitative trait locus (mQTL) data with BMI GWAS information through a SNP-based multiomics approach to identify genomic regions where mQTLs for a methylation site co-loc...

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Main Authors: Majid Nikpay, Sepehr Ravati, Robert Dent, Ruth McPherson
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/13/6/1984
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spelling doaj-c2835039770a4966ab8a564022899ec42021-06-30T23:43:19ZengMDPI AGNutrients2072-66432021-06-01131984198410.3390/nu13061984Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of ObesityMajid Nikpay0Sepehr Ravati1Robert Dent2Ruth McPherson3Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, 40 Ruskin St–H4208, Ottawa, ON K1Y 4W7, CanadaPlastenor Technologies Company, Montreal, QC H2P 2G4, CanadaDepartment of Medicine, Division of Endocrinology, University of Ottawa, the Ottawa Hospital, Ottawa, ON K1Y 4E9, CanadaRuddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, 40 Ruskin St–H4208, Ottawa, ON K1Y 4W7, CanadaHere, we performed a genome-wide search for methylation sites that contribute to the risk of obesity. We integrated methylation quantitative trait locus (mQTL) data with BMI GWAS information through a SNP-based multiomics approach to identify genomic regions where mQTLs for a methylation site co-localize with obesity risk SNPs. We then tested whether the identified site contributed to BMI through Mendelian randomization. We identified multiple methylation sites causally contributing to the risk of obesity. We validated these findings through a replication stage. By integrating expression quantitative trait locus (eQTL) data, we noted that lower methylation at cg21178254 site upstream of <i>CCNL1</i> contributes to obesity by increasing the expression of this gene. Higher methylation at cg02814054 increases the risk of obesity by lowering the expression of <i>MAST3</i>, whereas lower methylation at cg06028605 contributes to obesity by decreasing the expression of <i>SLC5A11</i>. Finally, we noted that rare variants within 2p23.3 impact obesity by making the cg01884057 site more susceptible to methylation, which consequently lowers the expression of <i>POMC</i>, <i>ADCY3</i> and <i>DNAJC27</i>. In this study, we identify methylation sites associated with the risk of obesity and reveal the mechanism whereby a number of these sites exert their effects. This study provides a framework to perform an omics-wide association study for a phenotype and to understand the mechanism whereby a rare variant causes a disease.https://www.mdpi.com/2072-6643/13/6/1984obesityEWASepigeneticsmultiomicsMendelian randomization
collection DOAJ
language English
format Article
sources DOAJ
author Majid Nikpay
Sepehr Ravati
Robert Dent
Ruth McPherson
spellingShingle Majid Nikpay
Sepehr Ravati
Robert Dent
Ruth McPherson
Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
Nutrients
obesity
EWAS
epigenetics
multiomics
Mendelian randomization
author_facet Majid Nikpay
Sepehr Ravati
Robert Dent
Ruth McPherson
author_sort Majid Nikpay
title Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
title_short Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
title_full Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
title_fullStr Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
title_full_unstemmed Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity
title_sort epigenome-wide study identified methylation sites associated with the risk of obesity
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2021-06-01
description Here, we performed a genome-wide search for methylation sites that contribute to the risk of obesity. We integrated methylation quantitative trait locus (mQTL) data with BMI GWAS information through a SNP-based multiomics approach to identify genomic regions where mQTLs for a methylation site co-localize with obesity risk SNPs. We then tested whether the identified site contributed to BMI through Mendelian randomization. We identified multiple methylation sites causally contributing to the risk of obesity. We validated these findings through a replication stage. By integrating expression quantitative trait locus (eQTL) data, we noted that lower methylation at cg21178254 site upstream of <i>CCNL1</i> contributes to obesity by increasing the expression of this gene. Higher methylation at cg02814054 increases the risk of obesity by lowering the expression of <i>MAST3</i>, whereas lower methylation at cg06028605 contributes to obesity by decreasing the expression of <i>SLC5A11</i>. Finally, we noted that rare variants within 2p23.3 impact obesity by making the cg01884057 site more susceptible to methylation, which consequently lowers the expression of <i>POMC</i>, <i>ADCY3</i> and <i>DNAJC27</i>. In this study, we identify methylation sites associated with the risk of obesity and reveal the mechanism whereby a number of these sites exert their effects. This study provides a framework to perform an omics-wide association study for a phenotype and to understand the mechanism whereby a rare variant causes a disease.
topic obesity
EWAS
epigenetics
multiomics
Mendelian randomization
url https://www.mdpi.com/2072-6643/13/6/1984
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AT sepehrravati epigenomewidestudyidentifiedmethylationsitesassociatedwiththeriskofobesity
AT robertdent epigenomewidestudyidentifiedmethylationsitesassociatedwiththeriskofobesity
AT ruthmcpherson epigenomewidestudyidentifiedmethylationsitesassociatedwiththeriskofobesity
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