Evidence map›Paper›PMID 40832419›Full record

ArticlemedRxiv : the preprint server for health sciences2025

HLA-focused type 1 diabetes genetic risk prediction in populations of diverse ancestry.

Dominika A Michalek, Courtney Tern, Catherine C Robertson, Wei-Min Chen, Suna Onengut-Gumuscu, Stephen S Rich

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Dominika A MichalekDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-0634-0319
Courtney TernDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-5029-595X
Catherine C RobertsonDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-1120-1786
Wei-Min ChenDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-2643-2333
Suna Onengut-GumuscuDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-6563-8334
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-3872-7793

Funding

Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
Expression and proteomic characterization of risk loci in type 1 diabetesDP3DK085678 · NIDDK · UNIVERSITY OF VIRGINIA · PI RICH, STEPHEN S. · 2009 to 2009
$6.6M
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
Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell ApproachesR01DK122586 · NIDDK · UNIVERSITY OF VIRGINIA · PI GRANT, STRUAN F A, RICH, STEPHEN S. · 2019 to 2022
$4.8M
NHGRI NIH HHS U01 HG011723NIDDK NIH HHS DP3 DK085678NIDDK NIH HHS R01 DK122586NIDDK NIH HHS U01 DK062418
6 · The paper itself

Abstract

Aims/hypothesis: Type 1 diabetes is characterized by the destruction of pancreatic beta cells. Genetic factors account for ~50% of the total risk, with variants in the Human Leukocyte Antigen (HLA) region contributing to half of this genetic risk, with research historically focused on populations of European ancestry. We developed HLA-focused type 1 diabetes genetic risk scores (T1D GRS Methods: A total of 41,689 samples and 13,695 SNPs in the HLA region were genotyped, with HLA alleles imputed using the HLA TAPAS multi-ethnic reference panel. Conditionally independent SNPs and HLA alleles associated with type 1 diabetes were identified in each population group to construct T1D GRS Results: Each T1D GRS Conclusions/interpretation: T1D GRS

Indexed as

genetic risk scoreHLAmulti-ancestrytransferabilitytype 1 diabetes

Identifiers

PMID40832419
PMCPMC12363735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.