Evidence map›Paper›PMID 39561770›Full record

ArticleAmerican journal of human genetics2024

The PRIMED Consortium: Reducing disparities in polygenic risk assessment.

Iftikhar J Kullo, Matthew P Conomos, Sarah C Nelson, Sally N Adebamowo, Ananyo Choudhury, David Conti, Stephanie M Fullerton, Stephanie M Gogarten, Ben Heavner, Whitney E Hornsby and 17 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Polygenic risk scores in clinical applications - opportunities and challenges.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

27 authors.

Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: kullo.iftikhar@mayo.edu.
Matthew P ConomosDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Sarah C NelsonDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Sally N AdebamowoDepartment of Epidemiology and Public Health, University of Maryland, Baltimore, MD, USA.
Ananyo ChoudhurySydney Brenner Institute of Molecular Bioscience, University of Witwatersrand, Johannesburg, South Africa.
David ContiDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Stephanie M FullertonDepartment of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA, USA.
Stephanie M GogartenDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Ben HeavnerDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Whitney E HornsbyCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Eimear E KennyInstitute of Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alyna KhanDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Amit V KheraCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Yun LiDepartment of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
Iman MartinNational Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
Josep M MercaderPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Maggie NgDivision of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
Alex ReinerDepartment of Epidemiology, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Robb RowleyNational Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
Daniel SchaidDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Adrienne StilpDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Ken WileyNational Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
Riley WilsonNational Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
John S WitteDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
Pradeep NatarajanCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium

Funding

Polygenic Risk Score Methods Development Consortium Coordinating CenterU01HG011697 · NHGRI · UNIVERSITY OF WASHINGTON · PI Kenneth M. Rice · 2021 to 2026
$8.8M
Development of Polygenic Risk Scores for Diabetes and Complications across the Life-Span in Populations of Multiple AncestriesU01HG011723 · NHGRI · BROAD INSTITUTE, INC. · PI Alisa Knodle Manning, Josep Maria Mercader · 2021 to 2026
$5.7M
Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptationU01HG011720 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, ALEXANDER P REINER · 2021 to 2026
$5.4M
PRS Center for Admixed Populations (CAPE)U01HG011715 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Eimear Elizabeth Kenny, Leslie A Lange · 2021 to 2026
$5.2M
Leveraging Prospective Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk ScoresU01CA261339 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fei Chen, David V Conti · 2021 to 2026
$5.2M
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
Polygenic Risk of Disease in Populations of Diverse AncestryU01HG011710 · NHGRI · MAYO CLINIC ROCHESTER · PI SCHAID, DANIEL J. · 2021 to 2025
$3.2M
NCI NIH HHS U01 CA261339NHGRI NIH HHS U01 HG011697NHGRI NIH HHS U01 HG011710NHGRI NIH HHS U01 HG011715NHGRI NIH HHS U01 HG011717NHGRI NIH HHS U01 HG011719NHGRI NIH HHS U01 HG011720NHGRI NIH HHS U01 HG011723
6 · The paper itself

Abstract

By improving disease risk prediction, polygenic risk scores (PRSs) could have a significant impact on health promotion and disease prevention. Due to the historical oversampling of populations with European ancestry for genome-wide association studies, PRSs perform less well in other, understudied populations, leading to concerns that clinical use in their current forms could widen health care disparities. The PRIMED Consortium was established to develop methods to improve the performance of PRSs in global populations and individuals of diverse genetic ancestry. To this end, PRIMED is aggregating and harmonizing multiple phenotype and genotype datasets on AnVIL, an interoperable secure cloud-based platform, to perform individual- and summary-level analyses using population and statistical genetics approaches. Study sites, the coordinating center, and representatives from the NIH work alongside other NHGRI and global consortia to achieve these goals. PRIMED is also evaluating ethical and social implications of PRS implementation and investigating the joint modeling of social determinants of health and PRS in computing disease risk. The phenotypes of interest are primarily cardiometabolic diseases and cancer, the leading causes of death and disability worldwide. Early deliverables of the consortium include methods for data sharing on AnVIL, development of a common data model to harmonize phenotype and genotype data from cohort studies as well as electronic health records, adaptation of recent guidelines for population descriptors to global cohorts, and sharing of PRS methods/tools. As a multisite collaboration, PRIMED aims to foster equity in the development and use of polygenic risk assessment.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMultifactorial InheritanceGenotypeHumansNeoplasmsPhenotypeRisk AssessmentRisk Factorsdiversityequitypolygenic risk score

Identifiers

PMID39561770
PMCPMC11639095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.