Evidence map›Paper›PMID 40467969›Full record

ReviewNature reviews. Endocrinology2025

Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation.

Hector I Ortega, Miriam S Udler, Anna L Gloyn, Seth A Sharp

Abstract readReview
In one paragraph

Review in Nature reviews. Endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Role of genetic risk on progression to diabetes in children with acute pancreatitis.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Diabetes, Protein Misfolding, and Heat Stress: Molecular Insights and Translational Perspectives.TH open : companion journal to thrombosis and haemostasis · 2026
    Review
  12. Review
  13. Article
  14. 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

4 authors.

Hector I OrtegaDepartment of Pediatrics, Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA.
Miriam S UdlerProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Anna L GloynDepartment of Pediatrics, Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA. agloyn@stanford.edu.ORCID http://orcid.org/0000-0003-1205-1844
Seth A SharpDepartment of Pediatrics, Division of Endocrinology, Stanford University School of Medicine, Stanford, CA, USA. ssharp@stanford.edu.ORCID http://orcid.org/0000-0002-0607-9990

Funding

RADIANT Clinic and Data Coordinating CenterU54DK118612 · NIDDK · UNIVERSITY OF CHICAGO · PI Louis H. Philipson, Miriam Sargon Udler · 2018 to 2026
$21.9M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Integrated Islet Distribution Program (U24) - 2021U24DK098085 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Carmella Evans-Molina, Joyce Carol Niland · 2021 to 2026
$17.8M
Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
Diabetes, Endocrinology and Metabolism Training GrantT32DK007217 · NIDDK · STANFORD UNIVERSITY · PI Justin Pierce Annes, David Matthew Maahs · 1987 to 2026
$7.2M
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
Therapeutic targeting of human islets with recombinant regulatory T cellsU01DK123743 · NIDDK · STANFORD UNIVERSITY · PI KIM, SEUNG K, MEYER, EVERETT · 2019 to 2022
$2.9M
GEneration and assessment of Multi-omic informed Subtypes of Type 2 Diabetes in Diverse Populations (GEMS-T2D)U01DK140757 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Josep Maria Mercader, KRISTINA Marie UTZSCHNEIDER · 2024 to 2026
$2.3M
Deep Mutational Scanning of Monogenic Diabetes Genes to Facilitate Precision Diagnostics for DiabetesR01DK140555 · NIDDK · STANFORD UNIVERSITY · PI Anna Louise Gloyn · 2024 to 2026
$1.9M
Doris Duke Charitable Foundation 2022063NHGRI NIH HHS U01 HG011723NIDDK NIH HHS L30 DK106874NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK140555NIDDK NIH HHS T32 DK007217NIDDK NIH HHS U01 DK123743NIDDK NIH HHS U01 DK140757NIDDK NIH HHS U24 DK098085NIDDK NIH HHS U54 DK118612NIDDK NIH HHS UM1 DK126185Wellcome Trust
6 · The paper itself

Abstract

Diabetes mellitus encompasses several disorders, each with differing clinical presentation, prognoses and pathophysiology. Distinct polygenic architectures underlie type 1 diabetes mellitus and type 2 diabetes mellitus, and govern numerous pathophysiological pathways that converge on dysglycaemia. Over the previous decade, polygenic risk scores (PRS) derived from large genome-wide association studies have become broadly recognized for their potential in precision medicine. PRS, and now partitioned polygenic scores generated by clustering of risk variants, can quantify individual genetic predisposition to diabetes mellitus and reveal molecular heterogeneity responsible for variation in clinical presentation and prognoses. In this Review, we examine and contrast progress in the development of type 1 diabetes mellitus PRS and type 2 diabetes mellitus PRS, and discuss paths to further methodological advances. We examine how studies in the past 10 years have harnessed PRS and novel partitioned polygenic scores to reveal insights into diabetes mellitus aetiology and characterize changes in cellular and tissue-specific disease-modifying molecular pathways. Additionally, we discuss advances and opportunities in areas of clinical translation, including improved classification of diabetes mellitus type, screening of those at risk and personalized interventions informed by PRS. Finally, we emphasize the urgent need to overcome ancestry-related challenges and highlight current progress and gaps in ensuring the equitable translation of PRS for diabetes mellitus precision medicine.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseMultifactorial InheritanceGenetic Risk ScoreGenome-Wide Association StudyHumansPrecision MedicineRisk FactorsTranslational Research, Biomedical

Identifiers

PMID40467969
PMCPMC12614124

What Socratic 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 Socratic graph.