Evidence map›Paper›PMID 40480197›Full record

ArticleAmerican journal of human genetics2025

Subcontinental genetic variation in the All of Us Research Program: Implications for biomedical research.

Mateus H Gouveia, Karlijn A C Meeks, Victor Borda, Thiago P Leal, Fernanda S G Kehdy, Reagan Mogire, Ayo P Doumatey, Eduardo Tarazona-Santos, Rick A Kittles, Ignacio F Mata and 4 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Associations between genetic ancestry and allergic outcomes at 10 years among Black children.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Sex differences in LDL-C genetic architecture and statin efficacy in All of Us.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Review
  10. Admixture mapping identifies complex trait associations with local ancestry in themedRxiv : the preprint server for health sciences · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Mateus H GouveiaCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA. Electronic address: mateus.gouveia@nih.gov.
Karlijn A C MeeksCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA; Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Victor BordaThe University of Maryland-Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD, USA; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Thiago P LealLerner Research Institute, Genomic Medicine, Cleveland Clinic, Cleveland, OH, USA.
Fernanda S G KehdyLaboratório de Hanseníase, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.
Reagan MogireCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA.
Eduardo Tarazona-SantosDepartment of Genetics, Ecology, and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Rick A KittlesMorehouse School of Medicine, Atlanta, GA, USA.
Ignacio F MataLerner Research Institute, Genomic Medicine, Cleveland Clinic, Cleveland, OH, USA.
Timothy D O'ConnorThe University of Maryland-Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD, USA; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA.
Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD, USA. Electronic address: rotimic@mail.nih.gov.

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Unravelling the Role of Epigenetics and Cytokines in Type 2 Diabetes among African-ancestry PopulationsR00DK131018 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI Karlijn Anna Catharina Meeks · 2025 to 2026
$492k
Unravelling the Role of Epigenetics and Cytokines in Type 2 Diabetes among African-ancestry PopulationsK99DK131018 · NIDDK · NATIONAL HUMAN GENOME RESEARCH INST · PI MEEKS, KARLIJN ANNA CATHARINA · 2023 to 2023
$0k
Intramural NIH HHS ZIA HG200362NHGRI NIH HHS K99 HG012211NIDDK NIH HHS K99 DK131018NIDDK NIH HHS R00 DK131018
6 · The paper itself

Abstract

The All of Us Research Program (All of Us) seeks to accelerate biomedical research and address the underrepresentation of minorities by recruiting over 1 million participants across the United States. A key question is how self-identification with discrete, predefined race and ethnicity categories compares to genetic variation at continental and subcontinental levels. To contextualize the genetic variation in All of Us, we analyzed ∼2 million common variants from 230,016 unrelated whole genomes using classical population genetics methods alongside reference panels such as the 1000 Genomes Project, Human Genome Diversity Project, and Simons Genome Diversity Project. Our analysis reveals that participants within self-identified race and ethnicity groups exhibit gradients of genetic variation rather than discrete clusters. The distributions of continental and subcontinental ancestries show considerable variation within race and ethnicity, both nationally and across states, reflecting the historical impacts of US colonization, the transatlantic slave trade, and recent migrations. All of Us samples filled most gaps along the top five principal components of genetic variation in current global reference panels. Notably, Hispanic or Latino participants spanned much of the three-way (African, Native American, and European) admixture spectrum. Ancestry was significantly associated with body mass index (BMI) and height even after adjusting for socio-environmental covariates. In particular, West-Central and East African ancestries showed opposite associations with BMI. This study emphasizes the importance of assessing subcontinental ancestries, as the continental approach is insufficient to control for confounding in genetic association studies.

Indexed as

Biomedical ResearchEthnicityGenetic VariationRacial GroupsFemaleGenetics, PopulationGenome, HumanHumansMaleUnited StatesadmixtureAll of Us Research Programgenetic epidemiologygenetic variationpopulation geneticssubcontinental ancestry

Identifiers

PMID40480197
PMCPMC12256905

What Socratic holds

Textmetadata
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 Socratic graph.