Evidence map›Paper›PMID 39351966›Full record

SynthesisObesity (Silver Spring, Md.)2024

A meta-analysis and polygenic score study identifies novel genetic markers for waist-hip ratio in African populations.

Michael Zhong, Ebuka Onyenobi, Ayo Duomatey, Guanjie Chen, James Perry, Zhenyao Ye, ACCME Research Group as part of the H3Africa Consortium, Charles Rotimi, Clement A Adebamowo, Adebowale Adeyemo and 1 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Michael ZhongDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Ebuka OnyenobiDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Ayo DuomateyCenter for Research for Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.
Guanjie ChenCenter for Research for Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.
James PerryDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Zhenyao YeDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
ACCME Research Group as part of the H3Africa Consortium
Charles RotimiCenter for Research for Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.
Clement A AdebamowoDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Adebowale AdeyemoCenter for Research for Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.
Sally N AdebamowoDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-4713-2433

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
African Collaborative Center for Microbiome and Genomics Research (ACCME)U54HG006947 · NHGRI · INSTITUTE OF HUMAN VIROLOGY · PI ADEBAMOWO, CLEMENT ADEBAYO · 2013 to 2018
$5.7M
Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study SitesU01HG011717 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, SALLY NNEOMA, TAYO, BAMIDELE OLUSEGUN · 2021 to 2025
$4.6M
Leveraging pleiotropy to develop polygenic risk scores for cardiometabolic diseasesR03HL172139 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, SALLY NNEOMA · 2023 to 2024
$309k
Intramural NIH HHS ZIA HG200362National Institutes of Health (NIH) R03HL172139National Institutes of Health (NIH) U01HG011717National Institutes of Health (NIH) U54HG006947National Institutes of Health (NIH) ZIAHG200362NHGRI NIH HHS U01 HG011717NHGRI NIH HHS U54 HG006947NHLBI NIH HHS R03 HL172139
6 · The paper itself

Abstract

objectiveUnderstanding the genetic underpinnings of anthropometric traits in diverse populations is crucial for gaining insights into their biological mechanisms and potential implications for health.

methodsWe conducted a genome-wide association study, meta-analysis, and gene set analysis of waist-hip ratio (WHR), WHR adjusted for BMI (WHRadjBMI), waist circumference, BMI, and height using the African Collaborative Center for Microbiome and Genomics Research (ACCME) cohort (n = ~11,000) for discovery and polygenic score target analyses and the Africa America Diabetes Mellitus (AADM) study (n = ~5200) for replication and polygenic score validation. We generated and compared polygenic scores from European, African, Afro-Caribbean, and multiethnic ancestry populations.

resultsThe top loci associated with each trait in the meta-analysis were in CD36 (rs3211826 [p = 5.90 × 10

conclusionsThe discovery of a novel locus for WHR and genetic signals for each trait and the assessment of polygenic score performance underscore the importance of conducting well-powered studies in diverse populations.

Indexed as

Black PeopleBody Mass IndexGenome-Wide Association StudyMultifactorial InheritanceWaist-Hip RatioAdultAfricaFemaleGenetic MarkersHumansMaleMiddle AgedObesityPolymorphism, Single NucleotideWaist CircumferenceWhite PeopleGenetic Markers

Identifiers

PMID39351966
PMCPMC11692486

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LicenceCC BY-NC-ND
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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.