Life Sciences Commons^™

An Integrative Cross-Omics Analysis Of Dna Methylation Sites Of Glucose And Insulin Homeostasis, Jun Liu, Elena Carnero-Montoro, Jenny Van Dongen, Samantha Lent, Ivana Nedeljkovic, Symen Ligthart, Pei-Chien Tsai, Tiphaine C. Martin, Pooja R. Mandaviya, Rick Jansen, Marjolein J. Peters, Liesbeth Duijts, Vincent W. V. Jaddoe, Henning Tiemeier, Janine F. Felix, Gonneke Willemsen, Eco J. C. De Geus, Audrey Y. Chu, Daniel Levy, Shih-Jen Hwang, Jan Bressler, Rahul Gondalia, Elias L. Salfati, Christian Herder, Bertha A. Hidalgo, Toshiko Tanaka, Ann Zenobia Moore, Rozenn N. Lemaitre, Min A. Jhun, Jennifer A. Smith, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Despite existing reports on differential DNA methylation in type 2 diabetes (T2D) and obesity, our understanding of its functional relevance remains limited. Here we show the effect of differential methylation in the early phases of T2D pathology by a blood-based epigenome-wide association study of 4808 non-diabetic Europeans in the discovery phase and 11,750 individuals in the replication. We identify CpGs in LETM1, RBM20, IRS2, MAN2A2 and the 1q25.3 region associated with fasting insulin, and in FCRL6, SLAMF1, APOBEC3H and the 15q26.1 region with fasting glucose. In silico cross-omics analyses highlight the role of differential methylation …

Epigenomics And Metabolomics Reveal The Mechanism Of The Apoa2-Saturated Fat Intake Interaction Affecting Obesity, Chao-Qiang Lai, Caren E. Smith, Laurence D. Parnell, Yu-Chi Lee, Dolores Corella, Paul Hopkins, Bertha A. Hidalgo, Stella Aslibekyan, Michael A. Province, Devin Absher, Donna K. Arnett, Katherine L. Tucker, Jose M. Ordovas

Epidemiology and Environmental Health Faculty Publications

Background: The putative functional variant −265T > C (rs5082) within the APOA2 promoter has shown consistent interactions with saturated fatty acid (SFA) intake to influence the risk of obesity.

Objective: The aim of this study was to implement an integrative approach to characterize the molecular basis of this interaction.

Design: We conducted an epigenome-wide scan on 80 participants carrying either the rs5082 CC or TT genotypes and consuming either a low-SFA (< 22 g/d) or high-SFA diet (≥ 22 g/d), matched for age, sex, BMI, and diabetes status in the Boston Puerto Rican Health Study (BPRHS). We then validated the findings in selected participants in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study (n = 379) and the Framingham Heart Study (FHS) (n = 243). Transcription and metabolomics analyses were conducted to determine the relation between epigenetic status, APOA2 mRNA expression, …

Epigenome-Wide Association Study Of Metabolic Syndrome In African-American Adults, Tomi Akinyemiju, Anh N. Do, Amit Patki, Stella Aslibekyan, Degui Zhi, Bertha Hidalgo, Hemant K. Tiwari, Devin Absher, Xin Geng, Donna K. Arnett, Marguerite R. Irvin

Epidemiology and Environmental Health Faculty Publications

Background: The high prevalence of obesity among US adults has resulted in significant increases in associated metabolic disorders such as diabetes, dyslipidemia, and high blood pressure. Together, these disorders constitute metabolic syndrome, a clinically defined condition highly prevalent among African-Americans. Identifying epigenetic alterations associated with metabolic syndrome may provide additional information regarding etiology beyond current evidence from genome-wide association studies.

Methods: Data on metabolic syndrome and DNA methylation was assessed on 614 African-Americans from the Hypertension Genetic Epidemiology Network (HyperGEN) study. Metabolic syndrome was defined using the joint harmonized criteria, and DNA methylation was assessed using the Illumina HumanMethylation450K Bead …

Discovery And Fine-Mapping Of Adiposity Loci Using High Density Imputation Of Genome-Wide Association Studies In Individuals Of African Ancestry: African Ancestry Anthropometry Genetics Consortium, Maggie C. Y. Ng, Mariaelisa Graff, Yingchang Lu, Anne E. Justice, Poorva Mudgal, Ching-Ti Liu, Kristin Young, Lisa R. Yanek, Mary F. Feitosa, Mary K. Wojczynski, Kristin Rand, Jennifer A. Brody, Brian E. Cade, Latchezar Dimitrov, Qing Duan, Xiuqing Guo, Leslie A. Lange, Michael A. Nalls, Hayrettin Okut, Salman M. Tajuddin, Bamidele O. Tayo, Sailaja Vedantam, Jonathan P. Bradfield, Guanjie Chen, Wei-Min Chen, Alessandra Chesi, Marguerite R. Irvin, Badri Padhukasahasram, Jennifer A. Smith, Wei Zheng, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Genome-wide association studies (GWAS) have identified > 300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHR_adjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHR_adjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified …

Association Of Body Mass Index With Dna Methylation And Gene Expression In Blood Cells And Relations To Cardiometabolic Disease: A Mendelian Randomization Approach, Michael M. Mendelson, Riccardo E. Marioni, Roby Joehanes, Chunyu Liu, Åsa K. Hedman, Stella Aslibekyan, Ellen W. Demerath, Weihua Guan, Degui Zhi, Chen Yao, Tianxiao Huan, Christine Willinger, Brian Chen, Paul Courchesne, Michael Multhaup, Marguerite R. Irvin, Ariella Cohain, Eric E. Schadt, Megan L. Grove, Jan Bressler, Kari North, Johan Sundström, Stefan Gustafsson, Sonia Shah, Allan F. Mcrae, Sarah E. Harris, Jude Gibson, Paul Redmond, Janie Corley, Lee Murphy, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Background

The link between DNA methylation, obesity, and adiposity-related diseases in the general population remains uncertain.

Methods and Findings

We conducted an association study of body mass index (BMI) and differential methylation for over 400,000 CpGs assayed by microarray in whole-blood-derived DNA from 3,743 participants in the Framingham Heart Study and the Lothian Birth Cohorts, with independent replication in three external cohorts of 4,055 participants. We examined variations in whole blood gene expression and conducted Mendelian randomization analyses to investigate the functional and clinical relevance of the findings. We identified novel and previously reported BMI-related differential methylation at 83 CpGs …