Evidence map›Paper›PMID 39379762›Full record

SynthesisNature genetics2024

Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.

Alicia Huerta-Chagoya, Philip Schroeder, Ravi Mandla, Jiang Li, Lowri Morris, Maheak Vora, Ahmed Alkanaq, Dorka Nagy, Lukasz Szczerbinski, Jesper G S Madsen and 16 more

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Population Prevalence, Penetrance, and Mortality for Genetically Confirmed MODY.The Journal of clinical endocrinology and metabolism · 2026
    Article
  6. Sequencing and health data resource of children of African ancestry.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  7. Article
  8. Article
  9. BeyondFrontiers in genetics · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Alicia Huerta-Chagoya *Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Philip Schroeder *Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Ravi Mandla *Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Jiang Li *Department of Genomic Health, Geisinger, Danville, PA, USA.
Lowri MorrisSection of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Maheak VoraPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Ahmed AlkanaqPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Dorka NagySection of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Lukasz SzczerbinskiPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Jesper G S MadsenInstitute of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-0518-0800
Silvia Bonàs-GuarchCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-2085-7488
Fanny MollandinCentre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0003-0806-1062
Joanne B ColePrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9520-2788
Bianca PornealaDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Kenneth WestermanPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Josephine H LiPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2314-0914
Toni I PollinUniversity of Maryland, School of Medicine, Baltimore, MD, USA.
Jose C FlorezPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-1730-9325
Anna L GloynDepartment of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1205-1844
David J CareyDepartment of Genomic Health, Geisinger, Danville, PA, USA.
Inês CebolaSection of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3528-4982
Uyenlinh L MirshahiDepartment of Genomic Health, Geisinger, Danville, PA, USA.ORCID http://orcid.org/0000-0003-4972-5451
Alisa K ManningPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0247-902X
Aaron LeongPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Miriam UdlerPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3824-9162
Josep M MercaderPrograms in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA. mercader@broadinstitute.org.ORCID http://orcid.org/0000-0001-8494-3660

Funding

Technology to Empower Changes in Health (TECH) Network Participant Technologies CenterU24OD023176 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2016 to 2022
$204.7M
Precision Medicine Initiative Cohort Program BiobankU24OD023121 · OD · MAYO CLINIC ROCHESTER · PI CEKANOVA, MARIA, CICEK, MINE · 2016 to 2024
$185.5M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Adaptive Platform for Personalized EngagementU24OD023163 · OD · VIGNET, INC. · PI JAIN, PRADUMAN · 2017 to 2020
$102.6M
University of Arizona-Banner Health All of Us Research Program OT2OD026549 · OD · UNIVERSITY OF ARIZONA · PI MORENO, FRANCISCO A, REIMAN, ERIC MICHAEL · 2018 to 2023
$78.9M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
All of Us PennsylvaniaOT2OD026554 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E, VISWESWARAN, SHYAM · 2018 to 2023
$72.1M
New York City Consortium for Precision MedicineOT2OD026556 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIER, LOUISE E, GHARAVI, ALI G · 2018 to 2023
$67.3M
SouthEast Enrollment Center (SEEC) OT2OD026551 · OD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, COLON, VIVIAN · 2018 to 2023
$62.8M
Southern All of Us NetworkOT2OD026548 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., KORF, BRUCE R · 2018 to 2023
$60.5M
Illinois Precision Medicine Consortium OT2OD026557 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AHSAN, HABIBUL, ARGOS, MARIA · 2018 to 2023
$60.5M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NHGRI NIH HHS U01 HG011723NHLBI NIH HHS K24 HL157960NIDDK NIH HHS K23 DK131345NIDDK NIH HHS L30 DK106874NIDDK NIH HHS R01 DK140555NIDDK NIH HHS UM1 DK078616NIDDK NIH HHS UM1 DK126185NIH HHS OT2 OD023205NIH HHS OT2 OD023206NIH HHS OT2 OD025276NIH HHS OT2 OD025277NIH HHS OT2 OD025315NIH HHS OT2 OD025337NIH HHS OT2 OD026548NIH HHS OT2 OD026549NIH HHS OT2 OD026550NIH HHS OT2 OD026551NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS OT2 OD026554NIH HHS OT2 OD026555NIH HHS OT2 OD026556NIH HHS OT2 OD026557NIH HHS U24 OD023121NIH HHS U24 OD023163NIH HHS U24 OD023176NIH HHS U2C OD023196U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U01HG011723Wellcome Trust
6 · The paper itself

Abstract

Type 2 diabetes (T2D) genome-wide association studies (GWASs) often overlook rare variants as a result of previous imputation panels' limitations and scarce whole-genome sequencing (WGS) data. We used TOPMed imputation and WGS to conduct the largest T2D GWAS meta-analysis involving 51,256 cases of T2D and 370,487 controls, targeting variants with a minor allele frequency as low as 5 × 10

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyCase-Control StudiesGene FrequencyGenetic VariationHepatocyte Nuclear Factor 4HumansPolymorphism, Single NucleotideWhole Genome SequencingHepatocyte Nuclear Factor 4HNF4A protein, human

Identifiers

PMID39379762
PMCPMC11549050

What Socratic 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 Socratic graph.