Evidence map›Paper›PMID 38443691›Full record

ArticleNature medicine2024

Multi-ancestry polygenic mechanisms of type 2 diabetes.

Kirk Smith, Aaron J Deutsch, Carolyn McGrail, Hyunkyung Kim, Sarah Hsu, Alicia Huerta-Chagoya, Ravi Mandla, Philip H Schroeder, Kenneth E Westerman, Lukasz Szczerbinski and 10 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature medicine, 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 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
52.8field-weighted citation impact, top 1% of its field
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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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  18. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 3 countries.

Kirk Smith *Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Aaron J Deutsch *Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-6750-5335
Carolyn McGrailBiomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA.
Hyunkyung KimDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-7964-3073
Sarah HsuPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9823-9711
Alicia Huerta-ChagoyaDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Ravi MandlaDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Philip H SchroederDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Kenneth E WestermanPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Lukasz SzczerbinskiDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-6201-0605
Timothy D MajarianPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Varinderpal KaurDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Alice WilliamsonPrecision Healthcare University Research Institute, Queen Mary University of London, London, UK.
Noah ZaitlenDepartment of Neurology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3553-3670
Melina ClaussnitzerDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-2450-736X
Jose C FlorezDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-1730-9325
Alisa K ManningPrograms in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Josep M MercaderDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-8494-3660
Kyle J GaultonDepartment of Pediatrics, University of California, San Diego, San Diego, CA, USA.
Miriam S UdlerDiabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. mudler@mgh.harvard.edu.ORCID 0000-0003-3824-9162
Broad Institute · USUniversity of California San Diego · USQueen Mary University of London · GBUniversity of California, Los Angeles · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
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
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
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
Clinical Implications of Genetically Defined Diabetes Subtypes and Application to Electronic Health Medical Record SystemsK23DK114551 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2017 to 2021
$1000k
Improved detection of gene-diet interactions via longitudinal data, metabolomic proxies, and polygenic scoresK01DK133637 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth E Westerman · 2022 to 2026
$749k
Extension of Type 2 Diabetes Genetic Clustering to Populations of non-European AncestryR03DK131249 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI UDLER, MIRIAM SARGON · 2022 to 2023
$252k
Analysis of Type 1 Diabetes Polygenic Scores in Atypical Forms of DiabetesF32DK137487 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI DEUTSCH, AARON JONATHAN · 2023 to 2023
$82k
Doris Duke Charitable Foundation 2022063NHGRI NIH HHS R01 HG006399NHGRI NIH HHS U01 HG011723NIDDK NIH HHS F32 DK137487NIDDK NIH HHS K01 DK133637NIDDK NIH HHS K23 DK114551NIDDK NIH HHS L30 DK106874NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R03 DK131249NIDDK NIH HHS T32 DK007028NIDDK NIH HHS UM1 DK126185
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for which the underlying biological mechanisms are not fully understood. In this study, we identified multi-ancestry T2D genetic clusters by analyzing genetic data from diverse populations in 37 published T2D genome-wide association studies representing more than 1.4 million individuals. We implemented soft clustering with 650 T2D-associated genetic variants and 110 T2D-related traits, capturing known and novel T2D clusters with distinct cardiometabolic trait associations across two independent biobanks representing diverse genetic ancestral populations (African, n = 21,906; Admixed American, n = 14,410; East Asian, n =2,422; European, n = 90,093; and South Asian, n = 1,262). The 12 genetic clusters were enriched for specific single-cell regulatory regions. Several of the polygenic scores derived from the clusters differed in distribution among ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a body mass index (BMI) of 30 kg m

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePhenotypeRisk Factors

Identifiers

PMID38443691
PMCPMC11175990
OpenAlexW4392472036

What OpenQuestion 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 OpenQuestion graph.