Evidence map›Paper›PMID 26290432›Full record

ArticleBMC medical genetics2015

Gender-specific associations between ADIPOQ gene polymorphisms and adiponectin levels and obesity in the Jackson Heart Study cohort.

Pia Riestra, Samson Y Gebreab, Ruihua Xu, Rumana J Khan, Aurelian Bidulescu, Adolfo Correa, Fasil Tekola-Ayele, Sharon K Davis

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
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  4. Potential involvement of adiponectin in obesity-associated erosive esophagitis.Journal of clinical biochemistry and nutrition · 2020
    Article
  5. Functional Haplotypes in theEthiopian journal of health sciences · 2020
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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

8 authors at 3 institutions in 1 country.

Pia RiestraNational Human Genome Research Institute, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. Teresa.riestra@nih.gov.
Samson Y GebreabNational Human Genome Research Institute, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. samson.gebreab@nih.gov.
Ruihua XuNational Human Genome Research Institute, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. ruihua.xu@nih.gov.
Rumana J KhanNational Human Genome Research Institute, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. rumana.khan@nih.gov.
Aurelian BidulescuSchool of Public Health, Indiana University Bloomington, 1025 E. 7th Street, Suite 111, Bloomington, IN, 47405, USA. abidules@indiana.edu.
Adolfo CorreaJackson Heart Study, Jackson Medical Mall, 350 West Woodrow Wilson Av., Suite 701, Jackson, MS, 39217, USA. acorrea@umc.edu.
Fasil Tekola-AyeleNational Human Genome Research Institute, Center for Research on Genomics and Global Health, National Institutes of Health, 12 South Drive, Bethesda, MD, 20892, USA. ayeleft@mal.nih.gov.
Sharon K DavisNational Human Genome Research Institute, Genomics of Metabolic, Cardiovascular and Inflammatory Disease Branch, Social Epidemiology Research Unit, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. sharon.davis@nih.gov.
National Institutes of Health · USIndiana University Bloomington · USJackson College · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Social Exposures and Genetics of Cardiovascular DiseaseZIAHG200393 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI GIBBONS, GARY · 2014 to 2019
$13.1M
Cardiovascular Disease Preventive Intervention ProgramUH1HL073461 · NHLBI · MOREHOUSE SCHOOL OF MEDICINE · PI DAVIS, SHARON K · 2003 to 2010
$3.7M
Intramural NIH HHSNCATS NIH HHS UL1 TR001108NCRR NIH HHS UL1 RR025008NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS UH1 HL073461PHS HHS HHSN268201300046CPHS HHS HHSN268201300047CPHS HHS HHSN268201300048CPHS HHS HHSN268201300049CPHS HHS HHSN268201300050C
6 · The paper itself

Abstract

backgroundDespite the important role of adiponectin in regulating general metabolic homeostasis, analysis of genetic determinants of adiponectin and the related cardio-metabolic traits in African American population has been limited and inconsistent. Considering the high genetic admixture of African Americans and thus the important population stratification that may confound the genetic-trait associations, the objective of this work was to perform a comprehensive analysis of the associations between ADIPOQ variants and adiponectin levels and obesity phenotypes in a large African American population from the Jackson Heart Study (JHS) cohort.

methodsGenotype data was available for 2968 JHS participants (1131men; 1837women). Single Nucleotide Polymorphisms (SNPs) were selected by a Tag-SNP Approach and literature review. The genotype imputation was performed using IMPUTE2 software and reference phased data from the 1000G project. PLINK software was used for the genetic analysis. Plasma specimens were analyzed by ELISA for adiponectin levels. All analyses were controlled for population stratification assessed by Individual Proportions of European Ancestry (PEA) estimates calculated in HAPMIX using ancestry informative markers (AIMs).

resultsWe found a gender-dependent association of some ADIPOQ variants and adiponectin levels. In women four of the studied polymorphisms (rs6444174, rs16861205, rs1403697, rs7641507) were associated with adiponectin levels after Bonferroni correction and controlling for the percentage of PEA, age, annual household income and smoking. These results were consistent with the haplotype analysis. The association between the rs12495941 variant and obesity is modulated by the PEA, so that the relationship between the G allele and a higher incidence of obesity was present in those individuals within the lower PEA group. In addition we found an effect modification of obesity on the association between the ADIPOQ rs6444174 SNP and BMI so that the presence of the T allele was negatively and significantly associated with BMI only in participants with a normal weight.

conclusionsIn this large African American cohort, ADIPOQ variants were associated with adiponectin levels in a gender-dependent manner and the relationship of some of these variants with obesity and BMI was modulated by the PEA and obesity status respectively. This suggests that the effects of these polymorphisms on adiponectin and obesity phenotypes are subject to a strong interaction with genetic and environmental factors in African American population.

Indexed as

AdiponectinBlack or African AmericanCohort StudiesFemaleHaplotypesHumansMississippiObesityPolymorphism, Single NucleotideSex FactorsWhite PeopleAdiponectinADIPOQ protein, human

Identifiers

PMID26290432
PMCPMC4593213
OpenAlexW2101048676

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