Genetic Discovery and Risk Prediction for Type 1 Diabetes in Individuals Without High-Risk HLA-DR3/DR4 Haplotypes
In total, we identified heterogeneity in T1D genetic risk dependent on high-risk HLA-DR3/DR4 haplotype, which uncovers disease mechanisms and enables more accurate prediction of T1D across the HLA background.
Authors
- Carolyn McGrail
- Joshua Chiou (ORCID: https://orcid.org/0000-0002-4618-0647)
- Richard A. Oram (ORCID: https://orcid.org/0000-0003-3581-8980)
- Paola Benaglio
- Kyle J. Gaulton (ORCID: https://orcid.org/0000-0003-1318-7161)
- Amber M Luckett (ORCID: https://orcid.org/0000-0001-9496-3796)
- Ruth Egamal
Institutions
- University of Exeter (GB)
- Royal Devon & Exeter NHS Foundation Trust (GB)
- University of California San Diego (US)
Publication Details
- Journal
- Diabetes Care
- Published
- 2024-12-03
- DOI
- https://doi.org/10.2337/dc24-1251
- Citations
- 9
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 4.95
Funders
- U.S. Department of Commerce
- Pfizer
- University of Pennsylvania
- Northwestern University
- University of Washington
- Johns Hopkins University
- Wellcome Trust
- Broad Institute
- Neurocrine Biosciences
- National Institute for Health and Care Research
- National Institutes of Health
- Centers for Disease Control and Prevention
- Genentech
- Office of Rural Health
- Cambridge Institute for Medical Research, University of Cambridge
- National Heart, Lung, and Blood Institute
- National Institute of Mental Health
- National Human Genome Research Institute
- National Institute of Allergy and Infectious Diseases
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Child Health and Human Development
- National Center for Research Resources
- Division of Diabetes, Endocrinology, and Metabolic Diseases