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By Bernd Sebastian Kamps and Andrea Melis

  Diabetes

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Articles published in Nat Genet

Retrieve available abstracts of 16 articles:
HTML format



Single Articles


    April 2026
  1. MCGRAIL C, Sears TJ, Griffin EN, Ghaben AL, et al
    Genetic association and machine learning improve the prediction of type 1 diabetes risk.
    Nat Genet. 2026 Apr 30. doi: 10.1038/s41588-026-02578.
    PubMed     Abstract available


  2. LI Y, Polychronakos C
    Machine learning in prediction and classification of type 1 diabetes.
    Nat Genet. 2026 Apr 30. doi: 10.1038/s41588-026-02571.
    PubMed    


    January 2026
  3. SOREMEKUN O, Park YC, Tutino M, Arruda AL, et al
    Linking the plasma proteome to genetics in individuals from continental Africa provides insights into type 2 diabetes pathogenesis.
    Nat Genet. 2026 Jan 8. doi: 10.1038/s41588-025-02421.
    PubMed     Abstract available


    October 2025
  4. ZHAO Y, Lockhart S, Liu J, Li X, et al
    Population-scale gene-based analysis of whole-genome sequencing provides insights into metabolic health.
    Nat Genet. 2025;57:2436-2444.
    PubMed     Abstract available


  5. YANG Z, Pajuste FD, Zguro K, Cheng Y, et al
    Limited overlap between genetic effects on disease susceptibility and disease survival.
    Nat Genet. 2025;57:2418-2426.
    PubMed     Abstract available


    March 2025
  6. HUERTA-CHAGOYA A, Schroeder P, Mandla R, Li J, et al
    Author Correction: Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.
    Nat Genet. 2025 Mar 25. doi: 10.1038/s41588-025-02175.
    PubMed    


    February 2025
  7. YOSHIJI S, Lu T, Butler-Laporte G, Carrasco-Zanini-Sanchez J, et al
    Integrative proteogenomic analysis identifies COL6A3-derived endotrophin as a mediator of the effect of obesity on coronary artery disease.
    Nat Genet. 2025;57:345-357.
    PubMed     Abstract available


    October 2024
  8. HUERTA-CHAGOYA A, Schroeder P, Mandla R, Li J, et al
    Publisher Correction: Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.
    Nat Genet. 2024 Oct 22. doi: 10.1038/s41588-024-01986.
    PubMed    


  9. LI Y, Polychronakos C
    Parsing the spectrum of allelic architectures in diabetes.
    Nat Genet. 2024 Oct 14. doi: 10.1038/s41588-024-01950.
    PubMed    


  10. HUERTA-CHAGOYA A, Schroeder P, Mandla R, Li J, et al
    Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.
    Nat Genet. 2024 Oct 8. doi: 10.1038/s41588-024-01947.
    PubMed     Abstract available


    August 2024
  11. VOGAN K
    G6PD deficiency and diabetes complications.
    Nat Genet. 2024;56:1541.
    PubMed    


    June 2024
  12. OJIMA T, Namba S, Suzuki K, Yamamoto K, et al
    Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses.
    Nat Genet. 2024;56:1100-1109.
    PubMed     Abstract available


    April 2024
  13. ZHAO Y, Chukanova M, Kentistou KA, Fairhurst-Hunter Z, et al
    Protein-truncating variants in BSN are associated with severe adult-onset obesity, type 2 diabetes and fatty liver disease.
    Nat Genet. 2024 Apr 4. doi: 10.1038/s41588-024-01694.
    PubMed     Abstract available


  14. HUJOEL MLA, Handsaker RE, Sherman MA, Kamitaki N, et al
    Protein-altering variants at copy number-variable regions influence diverse human phenotypes.
    Nat Genet. 2024;56:569-578.
    PubMed     Abstract available


    March 2024
  15. LI W
    Genetic contribution to heterogeneity in type 2 diabetes.
    Nat Genet. 2024;56:357.
    PubMed    


    February 2024
  16. CISSE AH, Freathy RM
    New insights into the genetics of diabetes in pregnancy.
    Nat Genet. 2024 Feb 27. doi: 10.1038/s41588-024-01675.
    PubMed    


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