Medicine and Health 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 …

Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent, Caren E. Smith, Jack L. Follis, Hassan S. Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M. Fretts, Tuomas O. Kilpeläinen, Mary K. Wojczynski, Kris Richardson, Mike A. Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C. Frazier-Wood, Esther Van Eekelen, Carol Wang, Paul S. De Vries, Vera Mikkilä, Rebecca Rohde, Bruce M. Psaty, Torben Hansen, Mary F. Feitosa, Chao-Qiang Lai, Denise K. Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée De Mutsert, Wendy H. Oddy, Ester A. L. De Jonge, Ilkka Seppälä, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption.

Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction <10⁻⁷⁾, and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, …

Genetic Associations With Lipoprotein Subfraction Measures Differ By Ethnicity In The Multi-Ethnic Study Of Atherosclerosis (Mesa), Zhe Wang, Ani Manichukal, David C. Goff, Samia Mora, Jose M. Ordovas, Nicholas M. Pajewski, Wendy S. Post, Jerome I. Rotter, Michele M. Sale, Stephanie A. Santorico, David Siscovick, Michael Y. Tsai, Donna K. Arnett, Stephen Rich, Alexis C. Frazier-Wood

Epidemiology and Environmental Health Faculty Publications

A recent genome-wide association study associated 62 single nucleotide polymorphisms (SNPs) from 43 genomic loci, with fasting lipoprotein subfractions in European–Americans (EAs) at genome-wide levels of significance across three independent samples. Whether these associations are consistent across ethnicities with a non-European ancestry is unknown. We analyzed 15 lipoprotein subfraction measures, on 1677 African–Americans (AAs), 1450 Hispanic–Americans (HAs), and 775 Chinese–Americans (CHN) participating in the multi-ethnic study of atherosclerosis (MESA). Genome-wide data were obtained using the Affymetrix 6.0 and Illumina HumanOmni chips. Linear regression models between genetic variables and lipoprotein subfractions were adjusted for age, gender, body mass index, smoking, study …

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 …