Evidence map›Paper›PMID 20111020›Full record

ArticleObesity (Silver Spring, Md.)2010

Common genetic variants in fatty acid-binding protein-4 (FABP4) and clinical diabetes risk in the Women's Health Initiative Observational Study.

Kei-Hang K Chan, Yiqing Song, Yi-Hsiang Hsu, Nai-Chieh Y You, Lesley F Tinker, Simin Liu

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Adipocyte "Fatty Acid Binding Protein" Gene Polymorphisms (Balkan journal of medical genetics : BJMG · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. 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

6 authors at 4 institutions in 1 country.

Kei-Hang K ChanProgram on Genomics and Nutrition, Department of Epidemiology, University of California, Los Angeles, California, USA.
Yiqing Song
Yi-Hsiang Hsu
Nai-Chieh Y You
Lesley F Tinker
Simin Liu
University of California, Los Angeles · USBrigham and Women's Hospital · USFred Hutch Cancer Center · USHarvard University · US

Funding

Genetic and Biochemical Predictors of Type 2 DM in WomenR01DK062290 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, SIMIN · 2002 to 2006
$2.6M
Magnesium Intake, Gene Variants, and Type 2 DiabetesK01DK078846 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SONG, YIQING · 2008 to 2010
$409k
Biochemical Predictors of Type 2 DM in WomenR56DK062290 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, SIMIN · 2010 to 2010
$230k
NIDDK NIH HHS K01 DK078846NIDDK NIH HHS K01-DK078846NIDDK NIH HHS R01 DK062290NIDDK NIH HHS R56 DK062290PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221WHI NIH HHS N01WH2210
6 · The paper itself

Abstract

Adipocypte fatty acid-binding protein-4 (FABP4/adipocyte P2) may play a central role in energy metabolism and inflammation. In animal models, defects of the aP2 gene (aP2(-/-)) partially protected against the development of obesity-related insulin resistance, dyslipidemia, and atherosclerosis. However, it is unclear whether common genetic variation in FABP4 gene contributes to risk of type 2 diabetes (T2D) or diabetes-related metabolic traits in humans. We comprehensively assess the genetic associations of variants in the FABP4 gene with T2D risk and diabetes-associated biomarkers in a prospective study of 1,529 cases and 2,147 controls among postmenopausal women aged 50-79 years who enrolled in the Women's Health Initiative Observational Study (WHI-OS). We selected and genotyped a total of 11 haplotype-tagging single-nucleotide polymorphisms (tSNPs) spanning 41.3 kb across FABP4 in all samples. None of the SNPs and their derived haplotypes showed significant association with T2D risk. There were no significant associations between SNPs and plasma levels of inflammatory and endothelial biomarkers, including C-reactive protein, tumor necrosis factor (TNF), interleukin-6 (IL-6), E-selectin, and intercellular adhesion molecule (ICAM-1). Among African-American women, several SNPs were significantly associated with lower levels of vascular cell adhesion molecule-1 (VCAM-1), especially among those with incident T2D. On average, plasma levels of VCAM-1 were significantly lower among carriers of each minor allele at rs1486004(C/T; -1.08 ng/ml, P = 0.01), rs7017115(A/G; -1.07 ng/ml, P = 0.02), and rs2290201(C/T; -1.12 ng/ml, P = 0.002) as compared with the homozygotes of the common allele, respectively. After adjusting for multiple testing, carriers of the rs2290201 minor allele remained significantly associated with decreasing levels of plasma VCAM-1 in these women (P = 0.02). In conclusion, our finding from a multiethnic cohort of postmenopausal women did not support the notion that common genetic variants in the FABP4 gene may trigger increased risk of T2D. The observed significant association between reduced VCAM-1 levels and FABP4 genotypes in African-American women warrant further confirmation.

Indexed as

GenotypeAgedAllelesBiomarkersBlack or African AmericanCase-Control StudiesC-Reactive ProteinDiabetes Mellitus, Type 2E-SelectinFatty Acid-Binding ProteinsFemaleHumansInflammation MediatorsIntercellular Adhesion Molecule-1Interleukin-6Longitudinal StudiesBiomarkersC-Reactive ProteinE-SelectinFABP4 protein, humanFatty Acid-Binding ProteinsInflammation MediatorsIntercellular Adhesion Molecule-1Interleukin-6Tumor Necrosis Factor-alphaVascular Cell Adhesion Molecule-1

Identifiers

PMID20111020
PMCPMC3192651
OpenAlexW2023815115

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.