Evidence map›Paper›PMID 34347846›Full record

ArticlePloS one2021

Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study.

Mohammad Y Anwar, Laura M Raffield, Leslie A Lange, Adolfo Correa, Kira C Taylor

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 4 institutions in 1 country.

Mohammad Y AnwarSchool of Public Health & Information Sciences, The University of Louisville, Louisville, KY, United States of America.ORCID 0000-0002-2349-8214
Laura M RaffieldDepartment of Genetics, University of North Carolina, Chapel Hill, NC, United States of America.
Leslie A LangeDivision of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Adolfo CorreaJackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
Kira C TaylorSchool of Public Health & Information Sciences, The University of Louisville, Louisville, KY, United States of America.ORCID 0000-0001-9941-7196
University of Louisville · USJackson Memorial Hospital · USUniversity of Colorado Denver · USUniversity of North Carolina at Chapel Hill · US

Funding

The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
NCI NIH HHS HHSN261201800010INCI NIH HHS HHSN261201800012INCI NIH HHS HHSN261201800014INHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS T32 HL129982NIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

backgroundAfrican ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI) and waist circumference (WC) also predict other, less commonly measured adiposity measures in 2420 African American individuals from the Jackson Heart Study.

methodsPolygenic risk scores (PRS) were calculated using GWAS-significant variants extracted from published studies mostly representing European ancestry populations for BMI, waist-hip ratio (WHR) adjusted for BMI (WHRBMIadj), waist circumference adjusted for BMI (WCBMIadj), and body fat percentage (BF%). Associations between each PRS and adiposity measures including BF%, subcutaneous adiposity tissue (SAT), visceral adiposity tissue (VAT) and VAT:SAT ratio (VSR) were examined using multivariable linear regression, with or without BMI adjustment.

resultsIn non-BMI adjusted models, all phenotype-PRS were found to be positive predictors of BF%, SAT and VAT. WHR-PRS was a positive predictor of VSR, but BF% and BMI-PRS were negative predictors of VSR. After adjusting for BMI, WHR-PRS remained a positive predictor of BF%, VAT and VSR but not SAT. WC-PRS was a positive predictor of SAT and VAT; BF%-PRS was a positive predictor of BF% and SAT only.

conclusionThese analyses suggest that genetically driven increases in BF% strongly associate with subcutaneous rather than visceral adiposity and BF% is strongly associated with BMI but not central adiposity-associated genetic variants. How common genetic variants may contribute to observed differences in adiposity patterns between African and European ancestry individuals requires further study.

Indexed as

AdiposityBlack or African AmericanFemaleGenome-Wide Association StudyHumansIntra-Abdominal FatLongitudinal StudiesMaleMiddle AgedObesityPhenotypeRisk FactorsSex FactorsSubcutaneous FatWaist Circumference

Identifiers

PMID34347846
PMCPMC8336790
OpenAlexW3187404658

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.