Evidence map›Paper›PMID 25830378›Full record

ArticlePloS one2015

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, Marcel Fourcaudot, Luke Norton, Muhammad A Abdul-Ghani, Shirley L Hu, Vidya S Farook, Dawn K Coletta, Satish Kumar, Sobha Puppala, Geetha Chittoor and 12 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  16. ADH1B, the adipocyte-enriched alcohol dehydrogenase, plays an essential, cell-autonomous role in human adipogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  20. Gene-environment interaction identification via penalized robust divergence.Biometrical journal. Biometrische Zeitschrift · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 4 institutions in 1 country.

Deidre A WinnierDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Marcel FourcaudotDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Luke NortonDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Muhammad A Abdul-GhaniDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Shirley L HuDivision of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Vidya S FarookTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Dawn K ColettaSchool of Life Sciences, Arizona State University, Tempe, AZ, United States of America.
Satish KumarTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Sobha PuppalaTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Geetha ChittoorTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Thomas D DyerTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Rector AryaDivision of Endocrinology and Diabetes, Department of Pediatrics, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Melanie CarlessTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Donna M LehmanDivision of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Joanne E CurranTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Douglas T CromackDivision of Orthopedics, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America; South Texas Veterans Health Care System, San Antonio, TX, United States of America.
Devjit TripathyDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America; South Texas Veterans Health Care System, San Antonio, TX, United States of America.
John BlangeroTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Ravindranath DuggiralaTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Harald H H GöringTexas Biomedical Research Institute, San Antonio, TX, United States of America.
Ralph A DeFronzoDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America; South Texas Veterans Health Care System, San Antonio, TX, United States of America.
Christopher P JenkinsonDivision of Diabetes, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America; Texas Biomedical Research Institute, San Antonio, TX, United States of America; South Texas Veterans Health Care System, San Antonio, TX, United States of America.
Texas Biomedical Research Institute · USThe University of Texas Health Science Center at San Antonio · USArizona State University · USSouth Texas Veterans Health Care System · US

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR001120 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2013 to 2017
$16.5M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Identification of Prediabetes Genes by Expression Linkage AnalysisR01DK079195 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JENKINSON, CHRISTOPHER P · 2008 to 2013
$2.5M
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
Diabesity Gene Discovery at Chromosome 6q23R01DK067690 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JENKINSON, CHRISTOPHER P · 2004 to 2008
$2.3M
Genetics of Birth Weight in Mexican AmericansR01HD041111 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 2001 to 2005
$1.9M
Type 2 Diabetes Gene Discovery Linked to 3p in HispanicsR01DK070746 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 2007 to 2009
$1.4M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NCATS NIH HHS UL1 TR001120NICHD NIH HHS HD41111NICHD NIH HHS R01 HD041111NIDDK NIH HHS DK067690NIDDK NIH HHS DK53889NIDDK NIH HHS DK70746NIDDK NIH HHS DK79195NIDDK NIH HHS R01 DK053889NIDDK NIH HHS R01 DK067690NIDDK NIH HHS R01 DK070746NIDDK NIH HHS R01 DK079195NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

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.

Indexed as

Gene Expression ProfilingAdipose TissueAlcohol DehydrogenaseAlcohol DrinkingBody Mass IndexDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenomicsHumansInsulin ResistanceMaleMexican AmericansMiddle AgedMolecular EpidemiologyObesityADH1B protein, humanAlcohol Dehydrogenase

Identifiers

PMID25830378
PMCPMC4382323
OpenAlexW2092854273

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.