HLA DR-DQ Haplotypes and Genotypes and Type 1 Diabetes Risk
Open accessAbstract
OBJECTIVE—The Type 1 Diabetes Genetics Consortium has collected type 1 diabetic families worldwide for genetic analysis. The major genetic determinants of type 1 diabetes are alleles at the HLA-DRB1 and DQB1 loci, with both susceptible and protective DR-DQ haplotypes present in all human populations. The aim of this study is to estimate the risk conferred by specific DR-DQ haplotypes and genotypes. RESEARCH DESIGN AND METHODS:—Six hundred and seven Caucasian families and 38 Asian families were typed at high resolution for the DRB1, DQA1, and DQB1 loci. The association analysis was performed by comparing the frequency of DR-DQ haplotypes among the chromosomes transmitted to an affected child with the frequency of chromosomes not transmitted to any affected child. RESULTS—A number of susceptible, neutral, and protective DR-DQ haplotypes have been identified, and a statistically significant hierarchy of type 1 diabetes risk has been established. The most susceptible haplotypes are the DRB1*0301-DQA1*0501-DQB1*0201 (odds ratio [OR] 3.64) and the DRB1*0405-DQA1*0301-DQB1*0302, DRB1*0401-DQA1*0301-DQB*0302, and DRB1*0402-DQA1*0301-DQB1*0302 haplotypes (ORs 11.37, 8.39, and 3.63), followed by the DRB1*0404-DQA1*0301-DQB1*0302 (OR 1.59) and the DRB1*0801-DQB1*0401-DQB1*0402 (OR 1.25) haplotypes. The most protective haplotypes are DRB1*1501-DQA1*0102-DQB1*0602 (OR 0.03), DRB1*1401-DQA1*0101-DQB1*0503 (OR 0.02), and DRB1*0701-DQA1*0201-DQB1*0303 (OR 0.02). CONCLUSIONS—Specific combinations of alleles at the DRB1, DQA1, and DQB1 loci determine the extent of haplotypic risk. The comparison of closely related DR-DQ haplotype pairs with different type 1 diabetes risks allowed identification of specific amino acid positions critical in determining disease susceptibility. These data also indicate that the risk associated with specific HLA haplotypes can be influenced by the genotype context and that the trans-complementing heterodimer encoded by DQA1*0501 and DQB1*0302 confers very high risk.
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HLA class II show the strongest association with type 1 diabetes, where haplotypes DRB1*0401-DQB1*0302 and DRB1*0301-DQB1*0201 confer the greatest susceptibility, and DRB1*1501 and DQA1*0102-DQB1*0602 provide disease resistance.
“Of the many HLA types, HLA class II show the strongest association with type 1 diabetes, where haplotypes DRB1*0401-DQB1*0302 and DRB1*0301-DQB1*0201 confer the greatest susceptibility, and DRB1*1501 and DQA1*0102-DQB1*0602 provide disease resistance.74”
From Type 1 diabetes (2014) · cites this paper as [74]
The Results (page not provided) place both named susceptibility haplotypes among the most susceptible and identify DRB1*1501-DQA1*0102-DQB1*0602 as highly protective. But DRB1*0405-DQA1*0301-DQB1*0302 has a higher reported odds ratio than either named susceptibility haplotype, so the claim that those two confer the greatest susceptibility overstates the risk ranking. The passages also do not compare the strength of class II associations with other HLA classes. (LLM, conf=0.86)
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“42,43 The strongest association 4), the odds ratio is 30 for development of islet autoimmunity and T1D 45 ; however, <10% of those with HLA-conferred diabetes susceptibility genes progress to clinical disease.”
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“The same laboratory also served as the TEDDY HLA Reference Laboratory to carry out confirmatory tests of enrolled subjects from all six clinical centers using separate DRB1, DQA1, and DQB1 reverse line blots, each with a much higher resolution panel of immobilized probes (16).”
MethodSelf-citationNew frontiers in the treatment of type 1 diabetes
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HLA Class I and Genetic Susceptibility to Type 1 Diabetes
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“,(1) and references therein) and, to a lesser extent, HLA-DPB1/DPA1 (2-6).”
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“Technological progress has facilitated the study of the genome to map disease-susceptibility genes for multifactorial diseases, including the increasing availability of microsatellite markers, single-nucleotide polymorphisms (SNPs), automated typing technology (6), and recently, whole-genome SNP analysis (7).”
BackgroundThe importance of the Non Obese Diabetic (NOD) mouse model in autoimmune diabetes
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“In humans, the DR3/4-DQ2/8 haplotypes provide the greatest susceptibility to T1D [70], with other DR and DQ alleles providing protection [71].”
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Self-citationImmunogenetics of type 1 diabetes: a comprehensive review
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Self-citationUnderstanding type 1 diabetes through genetics: advances and prospects
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The genetics and immunobiology of IgA nephropathy
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“Notably, the same haplotype was reported to also protect from type I diabetes mellitus (78); however, the signal at this locus is complex,”
Additional Autoimmune Disease Found in 33% of Patients at Type 1 Diabetes Onset
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Early prediction of autoimmune (type 1) diabetes.
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“5% of individuals with and without type 1 diabetes, respectively [25].”
BackgroundDetection of β cell death in diabetes using differentially methylated circulating DNA
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Assessment of the Genetic Basis of Rosacea by Genome-Wide Association Study
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“The DRB1*03:01-DQB1*02:01DQA1*05:01 haplotype has been associated with type I diabetes (Erlich et al., 2008), and HLA-DRB1*03:01 is associated with retinopathy in type I diabetics (Kastelan et al., 2013), a vascular proliferative disorder of the eye.”
BackgroundIslet-Derived CD4 T Cells Targeting Proinsulin in Human Autoimmune Diabetes
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Self-citationEtiological Approach to Characterization of Diabetes Type
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“Both highly susceptibility and highly protective DR-DQ haplotypes and genotypes are found (Erlich et al., 2008).”
BackgroundImmune checkpoint inhibitor‐induced Type 1 diabetes: a systematic review and meta‐analysis
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“In the general population, children with the HLA DR3-DQ2/DR4-DQ8 genotype have 5% risk for islet autoimmunity and T1D [14 – 16].”
Immunogenetics of type 1 diabetes mellitus
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“The higher risk of this heterozygote compared with the two (DR3/DR3 and DR4/ DR4) homozygotes has been attributed to the two transcomplementing DQ heterodimers, including the a (DQA1*0501) and b (DQB1*0302) heterodimer, present only in this heterozygote (Erlich et al., 2008).”
BackgroundBesser, R. E. J., Bell, K. J., Couper, J., Ziegler, A., Wherrett, D. K., Knip, M., Speake, C., Casteels, K., Driscoll, K. A., Jacobsen, L. M., et al. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13410 · Cited by 147 · see citing works
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“Genotyping Typing for HLA class II alleles at HLA-DRB1, HLA-DQA1 and HLA-DQB1, performed according to the T1DGC protocol with a sequence-specific olignonucleotidebased linear assay [16], was available for 1,814 individuals from the T1DGC set.”
MethodTissue distribution and clonal diversity of the T and B cell repertoire in type 1 diabetes.
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“The same haplotype is highly protective from type 1 diabetes mellitus (58).”
BackgroundEvidence-based update on rosacea comorbidities and their common physiologic pathways
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“The highest risk of DR-DQ haplotypes for T1D are DRB1*0301-DQA1*0501DQB1*0201 and DRB1*0401-DQA1*0301-DQB1*0302 [77, 87].”
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“ive for type 1 diabetes [93], while DRB5*01:01-DRB15:01 confers the strongest risk for developing multiple sclerosis [86].”
Role of immune system in type 1 diabetes mellitus pathogenesis.
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Definition, epidemiology and classification of diabetes in children and adolescents
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“HLA genes having the strongest known association, there is linkage to specific combinations of alleles at the DRB1, DQA1 and DQB1 loci, with both susceptible or protective haplotypes (21; 45) (B).”
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Co-occurrence of Type 1 Diabetes and Celiac Disease Autoimmunity
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“In addition, rs689 (−23 Hph I) was genotyped in all cohorts except the Danish using a reverse dot-plot method”
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“Genetic susceptibility to type 1 diabetes is largely conferred by the inheritance of the human leukocyte antigen (HLA) class II haplotypes of HLA-DR and HLA-DQ located within the major histocompatibility complex (MHC) on chromosome 6p21 (Ref”
BackgroundThe environment and the origins of islet autoimmunity and Type 1 diabetes
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Type 1 Diabetes-associated HLA-DQ8 Transdimer Accommodates a Unique Peptide Repertoire*
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Shared genetics in coeliac disease and other immune-mediated diseases
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The immunopathology of ANCA-associated vasculitis
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“eases, including type 1 diabetes [51] and SLE [52].”
BackgroundHLA DPA1, DPB1 Alleles and Haplotypes Contribute to the Risk Associated With Type 1 Diabetes
Varney, M., Valdés, A., Carlson, J., Noble, J., Tait, B., Bonella, P., Lavant, E., Fear, A. L., Louey, A., Moonsamy, P., et al. (2010) · Diabetes · doi:10.2337/db09-0680 · Cited by 82 · see citing works
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Cell-surface MHC density profiling reveals instability of autoimmunity-associated HLA
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Interferon alpha: The key trigger of type 1 diabetes
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A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes
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“Erlich (Roche Molecular Systems, Pleasanton, CA, USA) on all consenting participants [16].”
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“Although the impact of HLA genes on T1D susceptibility has been extensively studied, most of the related data, however, were from Caucasian populations (24) and notably from the T1DGC studies (9).”
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“In a Swedish population of diabetic dogs, there was an overrepresentation of some Scandinavian breeds, including the Swedish elkhound and Lapphund, with the majority reported to be female entire and thus likely to be suffering from dioestrus diabetes (Fall et al., 2007).”
BackgroundUpdate on diagnosis, pathogenesis and management of ketosis-prone Type 2 diabetes mellitus
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“These class II molecules play a role in the presentation of antigenic peptides to helper T cells, whereas class I molecules present to cytotoxic T cells.”
BackgroundTissue-Specific Methylation of Human Insulin Gene and PCR Assay for Monitoring Beta Cell Death
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- Authors
- Erlich, H., Valdes, A. M., Noble, J., Carlson, J. A., Varney, M., Concannon, P., Mychaleckyj, J. C., Todd, J. A., Bonella, P., Fear, A. L., Lavant, E., Louey, A., Moonsamy, P., & for the Type 1 Diabetes Genetics Consortium
- Affiliations
- Roche Molecular Systems, Alameda, California
- Children's Hospital Oakland Research Institute, Oakland, California
- Skåne University Hospital (SE)
- Australian Red Cross Lifeblood (AU)
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
- University of Virginia (US)
- University of Cambridge (GB)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2008-04-01
- Volume
- 57
- Issue
- 4
- Pages
- 1084-1092
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC4103420
- OpenAlex
- W2157754662
- Cited by
- 790
- References
- 0
- Citations by year
- 2026: 31 · 2025: 43 · 2024: 56 · 2023: 46 · 2022: 41 · 2021: 54 · 2020: 58 · 2019: 48 · 2018: 33 · 2017: 41 · 2016: 40 · 2015: 38 · 2014: 39 · 2013: 46 · 2012: 34
- FWCI
- 27.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Wellcome Trust
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK061722, U01DK062418)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Keywords
- type 1 diabetes, HLA-DRB1, HLA-DQA1, HLA-DQB1, genetic susceptibility, protective haplotypes, family-based association, high-resolution HLA typing
- MeSH terms
- Child, Child, Preschool, Diabetes Mellitus, Type 1, Family, Female, Genotype, HLA-DQ Antigens, HLA-DR Antigens, Humans, Male, Risk Factors, Age of Onset, Genetic Predisposition to Disease, White People, Asian People, HLA-DRB1 Chains, HLA-DQ alpha-Chains, HLA-DQ beta-Chains
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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