Evidence map›Paper›PMID 40385441›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues.

Ozvan Bocher, Ana Luiza Arruda, Satoshi Yoshiji, Chi Zhao, Chen-Yang Su, Xianyong Yin, Davis Cammann, Henry J Taylor, Jingchun Chen, Ken Suzuki and 14 more

Abstract readPreprint
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

24 authors.

Ozvan BocherInstitute of Translational Genomics, Helmholtz Munich, Neuherberg, 85764, Germany.ORCID 0000-0002-2467-9236
Ana Luiza ArrudaInstitute of Translational Genomics, Helmholtz Munich, Neuherberg, 85764, Germany.ORCID 0000-0002-6550-9794
Satoshi YoshijiPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-8863-2413
Chi ZhaoDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.
Chen-Yang SuMcGill Genome Centre, McGill University, Montreal, QC, Canada.ORCID 0000-0001-6071-4660
Xianyong YinDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
Davis CammannNevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA.
Henry J TaylorCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-2088-5240
Jingchun ChenNevada Institute of Personalized Medicine, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA.ORCID 0000-0001-9408-0117
Ken SuzukiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Ravi MandlaPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-0782-0138
Alicia Huerta-ChagoyaPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-6218-3904
Ta-Yu YangCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Fumihiko MatsudaCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Josep M MercaderPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-8494-3660
Jason FlannickPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
James B MeigsPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Alexis C WoodUSDA/ARS Children's Nutrition Center, Baylor College of Medicine, Houston, TX, USA.
Marijana VujkovicCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.ORCID 0000-0003-4924-5714
Benjamin F VoightCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
Cassandra N SpracklenDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.ORCID 0000-0003-3590-7182
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Munich, Neuherberg, 85764, Germany.ORCID 0000-0003-4238-659X

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Genetic programming of human islet metabolic and endoplasmic reticulum (ER) stress responses in diabetesR01DK118011 · NIDDK · JACKSON LABORATORY · PI Michael Lee Stitzel · 2021 to 2026
$4.9M
Type 2 diabetes risk variant effects on mitochondrial (patho)physiologyR01DK136671 · NIDDK · JACKSON LABORATORY · PI Scott Soleimanpour, Michael Lee Stitzel · 2023 to 2026
$3.0M
NCATS NIH HHS UL1 TR001881NHLBI NIH HHS R01 HL105756NIDDK NIH HHS L30 DK106874NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK118011NIDDK NIH HHS R01 DK136671
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a prevalent disease that arises from complex molecular mechanisms. Here, we leverage T2D multi-ancestry genetic associations to identify causal molecular mechanisms in an ancestry- and tissue-aware manner. Using two-sample Mendelian Randomization corroborated by colocalization across four global ancestries, we analyze 20,307 gene and 1,630 protein expression levels using blood-derived

Identifiers

PMID40385441
PMCPMC12083623

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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.