Transcriptomic Identification of ADH1B as a Novel Candidate Gene for Obesity and Insulin Resistance in Human Adipose Tissue in Mexican Americans from the Veterans Administration Genetic Epidemiology Study (VAGES)

Deidre A. Winnier(The University of Texas Health Science Center at San Antonio), Marcel Fourcaudot(The University of Texas Health Science Center at San Antonio), Luke Norton(The University of Texas Health Science Center at San Antonio), Muhammad Abdul‐Ghani(The University of Texas Health Science Center at San Antonio), Shirley L. Hu(The University of Texas Health Science Center at San Antonio), Vidya S. Farook(Texas Biomedical Research Institute), Dawn K. Coletta(Arizona State University), Satish Kumar(Texas Biomedical Research Institute), Sobha Puppala(Texas Biomedical Research Institute), Geetha Chittoor(Texas Biomedical Research Institute), Thomas D. Dyer(Texas Biomedical Research Institute), Rector Arya(The University of Texas Health Science Center at San Antonio), Melanie A. Carless(Texas Biomedical Research Institute), Donna M. Lehman(The University of Texas Health Science Center at San Antonio), Joanne E. Curran(Texas Biomedical Research Institute), Douglas T. Cromack(The University of Texas Health Science Center at San Antonio), Devjit Tripathy(The University of Texas Health Science Center at San Antonio), John Blangero(Texas Biomedical Research Institute), Ravindranath Duggirala(Texas Biomedical Research Institute), Harald H.H. Göring(Texas Biomedical Research Institute), Ralph A. DeFronzo(South Texas Veterans Health Care System), Christopher P. Jenkinson(Texas Biomedical Research Institute)
PLoS ONE
April 1, 2015
Cited by 57Open Access
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Abstract

Type 2 diabetes (T2D) is a complex metabolic disease that is more prevalent in ethnic groups such as Mexican Americans, and is strongly associated with the risk factors obesity and insulin resistance. The goal of this study was to perform whole genome gene expression profiling in adipose tissue to detect common patterns of gene regulation associated with obesity and insulin resistance. We used phenotypic and genotypic data from 308 Mexican American participants from the Veterans Administration Genetic Epidemiology Study (VAGES). Basal fasting RNA was extracted from adipose tissue biopsies from a subset of 75 unrelated individuals, and gene expression data generated on the Illumina BeadArray platform. The number of gene probes with significant expression above baseline was approximately 31,000. We performed multiple regression analysis of all probes with 15 metabolic traits. Adipose tissue had 3,012 genes significantly associated with the traits of interest (false discovery rate, FDR ≤ 0.05). The significance of gene expression changes was used to select 52 genes with significant (FDR ≤ 10(-4)) gene expression changes across multiple traits. Gene sets/Pathways analysis identified one gene, alcohol dehydrogenase 1B (ADH1B) that was significantly enriched (P < 10(-60)) as a prime candidate for involvement in multiple relevant metabolic pathways. Illumina BeadChip derived ADH1B expression data was consistent with quantitative real time PCR data. We observed significant inverse correlations with waist circumference (2.8 x 10(-9)), BMI (5.4 x 10(-6)), and fasting plasma insulin (P < 0.001). These findings are consistent with a central role for ADH1B in obesity and insulin resistance and provide evidence for a novel genetic regulatory mechanism for human metabolic diseases related to these traits.


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