Evidence map›Paper›PMID 30456705›Full record

ReviewCurrent diabetes reports2018

Genetics of Obesity in Diverse Populations.

Kristin L Young, Mariaelisa Graff, Lindsay Fernandez-Rhodes, Kari E North

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.5field-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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Examining Community Engagement Research Strategies Used in Flint, Michigan: The Church Challenge.Progress in community health partnerships : research, education, and action · 2023
    Article
  15. Genome Editing and Obesity.Advances in experimental medicine and biology · 2023
    Article
  16. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
  17. Article
  18. Article
  19. Review
  20. Review
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

4 authors at 1 institution in 1 country.

Kristin L YoungDepartment of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA. kristin.young@unc.edu.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA.
Lindsay Fernandez-RhodesCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kari E NorthDepartment of Epidemiology, University of North Carolina at Chapel Hill, 123 West Franklin Street, Suite 410, CB# 8050, Chapel Hill, NC, 27516, USA.
University of North Carolina at Chapel Hill · US

Funding

OTHER FUNCTIONS - R&D - HISPANIC COMMUNITY HEALTH STUDYN01HC65233 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAI, JAIWEN · 2007 to 2012
$15.1M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
Leveraging ancestral diversity to map adiposity loci in HispanicsR01DK101855 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAIMAN, CHRISTOPHER ALAN, LOOS, RUTH JF · 2014 to 2016
$2.1M
NHLBI NIH HHS N01HC65233NHLBI NIH HHS T32 HL007055NICHD NIH HHS P2C HD050924NIDDK NIH HHS R01 DK101855
6 · The paper itself

Abstract

purpose of reviewThe prevalence of obesity continues to rise, fueling a global public health crisis characterized by dramatic increases in type 2 diabetes, cardiovascular disease, and many cancers. In the USA, several minority populations, who bear much of the obesity burden (47% in African Americans and Hispanic/Latinos, compared to 38% in European descent groups), are particularly at risk of downstream chronic disease. Compounding these disparities, most genome-wide association studies (GWAS)-including those of obesity-have largely been conducted in populations of European or East Asian ancestry. In fact, analysis of the GWAS Catalog found that while the proportion of participants of non-European or non-Asian descent had risen from 4% in 2009 to 19% in 2016, African-ancestry participants are still just 3% of GWAS, Hispanic/Latinos are < 0.5%, and other ancestries are < 0.3% or not represented at all. This review summarizes recent developments in obesity genomics in US minority populations, with the goal of reducing obesity health disparities and improving public health programs and access to precision medicine. RECENT

findingsGWAS of populations with the highest burden of obesity are essential to narrow candidate variants for functional follow-up, to identify additional ancestry-specific variants that contribute to individual genetic susceptibility, and to advance both public health and precision medicine approaches to obesity. Given the global public health burden posed by obesity and downstream chronic conditions which disproportionately affect non-European populations, GWAS of obesity-related traits in diverse populations is essential to (1) locate causal variants in GWAS-identified regions through fine mapping, (2) identify variants which influence obesity across ancestries through generalization, and (3) discover novel ancestry-specific variants which may be low frequency in European populations but common in other groups. Recent efforts to expand obesity genomic studies to understudied and underserved populations, including AAAGC, PAGE, and HISLA, are working to reduce obesity health disparities, improve public health, and bring the promise of precision medicine to all.

Indexed as

Genetic Predisposition to DiseaseGenetics, PopulationHumansObesityPhenotypePopulation GroupsGWASHealth disparitiesObesityPrecision medicine

Identifiers

PMID30456705
PMCPMC6380516
OpenAlexW2901225846

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.