Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
Ana Luiza Arruda *Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. analuiza.arruda@helmholtz-munich.de.
Ozvan Bocher *Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2467-9236
Henry J Taylor *Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2088-5240
Davis Cammann *Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Satoshi YoshijiPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8863-2413
Josep M MercaderPrograms in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8494-3660
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.ORCID http://orcid.org/0000-0001-7191-1723
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0002-6805-6014
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. eleftheria.zeggini@helmholtz-munich.de.ORCID http://orcid.org/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
Functional Interrogation of T2D-associated genes in human stem cell-derived models and miceUM1DK126194 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GRANT, STRUAN F A, KAESTNER, KLAUS H · 2020 to 2024
$8.8M
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
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
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
Type 2 diabetes risk variant effects on mitochondrial (patho)physiologyR01DK136671 · NIDDK · JACKSON LABORATORY · PI Scott Soleimanpour, Michael Lee Stitzel · 2023 to 2026
$3.0M
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
Cataloging multi-ancestry 'omic readouts of the environmental and genetic determinants of type 2 diabetesR01DK137993 · NIDDK · HARVARD MEDICAL SCHOOL · PI ARJUN KUMAR MANRAI, Josep Maria Mercader · 2024 to 2026
$2.0M
Mapping the gene regulatory architecture of pancreatic islet-specific cell types to diabetesR01DK140340 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Kyle Jeffrie Gaulton, Benjamin Franklin Voight · 2025 to 2026
Type 2 diabetes is associated with a range of non-cardiovascular non-oncologic comorbidities. To move beyond associations and evaluate causal effects between type 2 diabetes genetic predisposition and 21 comorbidities, we apply Mendelian randomization analysis using genome-wide association studies across multiple genetic ancestries. Additionally, leveraging eight mechanistic clusters of type 2 diabetes genetic profiles, each representing distinct biological pathways, we investigate causal links between cluster-stratified type 2 diabetes genetic predisposition and comorbidity risk. We identify causal effects of type 2 diabetes genetic predisposition driven by distinct genetic clusters. For example, the risk-increasing effects of type 2 diabetes genetic predisposition on cataracts and erectile dysfunction are primarily attributed to adiposity and glucose regulation mechanisms, respectively. We observe opposing effect directions across different genetic ancestries for depression, asthma and chronic obstructive pulmonary disease. Our findings leverage the heterogeneity underpinning type 2 diabetes genetic predisposition to prioritize biological mechanisms underlying causal relationships with comorbidities.
Indexed as
Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseAsthmaCataractComorbidityDepressionFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveRisk Factors
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.
The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities. · full record | OpenQuestion