Skip to main navigation Skip to search Skip to main content

Random glucose GWAS in 493,036 individuals provides insights into diabetes pathophysiology, complications and treatment stratification

  • Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
    • University of Oxford
    • Wellcome Trust Sanger Institute
    • VIB-KU Leuven Center for Brain & Disease Research
    • University of Queensland
    • Imperial College London
    • Erasmus University Medical Center
    • Clinica Biblica Hospital
    • University of Surrey
    • Bashkir State Medical University
    • Ufa Federal Research Centre Russian Academy
    • University of Copenhagen
    • Institute of Cytology and Genetics
    • University of Ferrara
    • University of Tartu
    • Lund University
    • Amgen
    • University of South Australia
    • South Australian Health and Medical Research Institute
    • University of Cambridge
    • Maastricht University
    • University of Ioannina
    • Queen Mary University of London
    • German Research Center for Environmental Health
    • German Center for Diabetes Research (DZD)
    • Ludwig Maximilian University of Munich
    • Johannes Gutenberg University of Mainz
    • Karolinska Institutet
    • Karolinska University Hospital
    • University of Glasgow
    • University of Michigan
    • New England Biolabs
    • Vanderbilt University
    • Boston University School of Public Health
    • University of Ulm
    • Norwegian University of Science and Technology
    • University of Tromsø
    • University of North Carolina
    • Technical University of Munich
    • DZHK (German Centre for Cardiovascular Research)
    • Lee Kong Chian School of Medicine
    • University of Exeter
    • Finnish Institute for Health and Welfare
    • Massachusetts General Hospital
    • Broad Institute
    • Harvard Medical School
    • Netherlands Consortium for healthy ageing
    • QIMR Berghofer Medical Research Institute
    • University of Iceland
    • University of Lille
    • University of Helsinki
    • University Medical Center Groningen
    • University of Essex
    • PolyOmica
    • Oxford NIHR Biomedical Research Centre
    • Monash University

    Research output: Working paper/PreprintPreprint

    81 Downloads (Pure)

    Abstract

    Homeostatic control of blood glucose requires different physiological responses in the fasting and post-prandial states. We reasoned that glucose measurements under non-standardised conditions (random glucose; RG) may capture diverse glucoregulatory processes more effectively than previous genome-wide association studies (GWAS) of fasting glycaemia or after standardised glucose loads. Through GWAS meta-analysis of RG in 493,036 individuals without diabetes of diverse ethnicities we identified 128 associated loci represented by 162 distinct signals, including 14 with sex-dimorphic effects, 9 discovered through trans-ethnic analysis, and 70 novel signals for glycaemic traits. Novel RG loci were particularly enriched in expression in the ileum and colon, indicating a prominent role for the gastrointestinal tract in the control of blood glucose. Functional studies and molecular dynamics simulations of coding variants of GLP1R, a well-established type 2 diabetes treatment target, provided a genetic framework for optimal selection of GLP-1R agonist therapy. We also provided new evidence from Mendelian randomisation that lung function is modulated by blood glucose and that pulmonary dysfunction is a diabetes complication. Thus, our approach based on RG GWAS provided wide-ranging insights into the biology of glucose regulation, diabetes complications and the potential for treatment
    Original languageEnglish
    Number of pages60
    DOIs
    Publication statusSubmitted - 2023

    Publication series

    NameNature Genetics
    PublisherNature Publishing Group
    ISSN (Print)1061-4036

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Fingerprint

    Dive into the research topics of 'Random glucose GWAS in 493,036 individuals provides insights into diabetes pathophysiology, complications and treatment stratification'. Together they form a unique fingerprint.

    Cite this