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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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“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”
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- Concannon P, Erlich HA, Julier C, Morahan G, Nerup J, Pociot F, Todd JA, Rich SS: Evidence for susceptibility loci from four genome-wide linkage scans in 1,435 multiplex families: the Type 1 Diabetes Genetics Consortium. Diabetes 54:2995–3001,2005 · DOI
- Cucca F, Muntoni F, Lampis R, Frau F, Argiolas L, Silvetti M, Angius E, Cao A, De Virgiliis S, Congia M: Combinations of specific DRB1, DQA1, and DQB1 haplotypes are associated with insulin-dependent diabetes mellitus in Sardinia. Hum Immunol 37:85–94,1993 · DOI
- Bugawan TL, Klitz W, Alejandrino M, Ching J, Panelo A, Solfelix CM, Petrone A, Buzzetti R, Pozzilli P, Erlich HA: The association of specific HLA class I and II alleles with type 1 diabetes among Filipinos. Tissue Antigens 59:452–469,2002 · DOI
- Sheehy MJ, Scharf SJ, Rowe J, Neme de Gimenez M, Meske L, Erlich HA, Nepom B: A diabetes-susceptible HLA haplotype is best defined by a combination of HLA-DR and -DQ alleles. J Clin Invest 83:830–835,1989 · DOI
- Erlich HA, Zeidler A, Chang J, Shaw S, Raffel LJ, Klitz W, Beshkov Y, Costin G, Pressman S, Bugawan T, et al: HLA class II alleles and susceptibility and resistance to insulin dependent diabetes mellitus in Mexican-American families. Nat Genet 3:358–364,1993 · DOI
- Valdes AM, Noble JA, Génin E, Clerget-Darpoux F, Erlich HA, Thomson G: Modeling of HLA class II susceptibility to type 1 diabetes reveals an effect associated with DPB1. Genet Epidemiol 21:212–223,2001 · DOI
- Erlich HA, Rotter JI, Chang JD, Shaw SJ, Raffel LJ, Klitz W, Bugawan TL, Zeidler A: Association of HLA-DPB1*0301 with IDDM in Mexican Americans. Diabetes 45:610–614,1996 · DOI
- Cucca F, Dudbridge F, Loddo M, Mulargia AP, Lampis R, Angius E, De Virgiliis S, Koeleman BP, Bain SC, Barnett AH, Gilchrist F, Cordell H, Welsh K, Todd JA: The HLA-DPB1 associated component of the IDDM1 and its relationship to the major loci HLA-DQB1, -DQA1, and -DRB1. Diabetes 50:1200–1205,2001 · DOI
- Lie BA, Todd JA, Pociot F, Nerup J, Akselsen HE, Joner G, Dahl-Jorgensen K, Ronningen KS, Thorsby E, Undlien DE: The predisposition to type 1 diabetes linked to the human leukocyte antigen complex includes at least one non-class II gene. Am J Hum Genet 64:793–800,1999 · DOI
- Nejentsev S, Gombos Z, Laine AP, Veijola R, Knip M, Simell O, Vaarala O, Akerblom HK, Ilonen J: Non-class II HLA gene associated with type 1 diabetes maps to the 240-kb region near HLA-B. Diabetes 49:2217–2221,2000 · DOI
- Noble JA, Valdes AM, Bugawan TL, Apple RJ, Thomson G, Erlich HA: The HLA class I A locus affects susceptibility to type 1 diabetes. Hum Immunol 63:657–664,2002 · DOI
- Valdes AM, Wapelhorst B, Concannon P, Erlich HA, Thomson G, Noble JA: Extended DR3–D6S273-HLA-B haplotypes are associated with increased susceptibility to type 1 diabetes in US Caucasians. Tissue Antigens 65:115–119,2005 · DOI
- Valdes AM, Erlich HA, Noble JA: Human leukocyte antigen class I B and C loci contribute to type 1 diabetes (T1D) susceptibility and age at T1D onset. Hum Immunol 66:301–313,2005 · DOI
- Valdes AM, Thomson G, Graham J, Zarghami M, McNeney B, Kockum I, Smith A, Lathrop M, Steenkiste AR, Dorman JS, Noble JA, Hansen JA, Pugliese A, Lernmark A; Swedish Childhood Study Group; Diabetes Incidence in Sweden Study Group; Type 1 Diabetes Component of the 13th International Histocompatibility Working Group: D6S265*15 marks a DRB1*15, DQB1*0602 haplotype associated with attenuated protection from type 1 diabetes mellitus. Diabetologia 48:2540–2543,2005 · DOI
- Cruz TD, Valdes AM, Santiago A, Frazer de Llado T, Raffel LJ, Zeidler A, Rotter JI, Erlich HA, Rewers M, Bugawan T, Noble JA: DPB1 alleles are associated with type 1 diabetes susceptibility in multiple ethnic groups. Diabetes 53:2158–2163,2004 · DOI
- Johansson S, Lie BA, Todd JA, Pociot F, Nerup J, Cambon-Thomsen A, Kockum I, Akselsen HE, Thorsby E, Undlien DE: Evidence of at least two type 1 diabetes susceptibility genes in the HLA complex distinct from HLA-DQB1, -DQA1 and -DRB1. Genes Immun 4:46–53,2003 · DOI
- She JX: Susceptibility to type I diabetes: HLA-DQ and DR revisited. Immunol Today 17:323–329,1996 · DOI
- Rich SS, Concannon P, Erlich H, Julier C, Morahan G, Nerup J, Pociot F, Todd JA: The Type 1 Diabetes Genetics Consortium. Ann N Y Acad Sci 1079:1–8,2006 · DOI
- Erlich HA, Bugawan TL, Scharf S, Nepom GT, Tait B, Griffith RL: HLA-DQβ sequence polymorphism and genetic susceptibility to IDDM. Diabetes 39:96–103,1990 · DOI
- Koeleman BPC, Lie BA, Undlien DE, Dudbridge F, Thorsby E, de Vries RRP, Cucca F, Roep BO, Giphart MJ, Todd JA: Genotype effects and epistasis in type 1 diabetes and HLA-DQ trans dimer associations with disease. Genes Immunity 5:381–388,2004 · DOI
- Cano P, Klitz W, Mack SJ, Maiers M, Marsh SGE, Noreen H, Reed EF, Senitzer D, Setterholm M, Smith A, Fernandez-Vina M: Common and well-documented HLA alleles. Hum Immunol 68:392–417,2007 · DOI
- Thomson G, Valdes AM, Noble JA, Grote MN, Najman J, Erlich HA, Cucca F, Pugliese A, Steenkiste A, Dorman J, Caillat-Zucman S, Hermann R, Ilonen J, Lambert AP, Bingley PJ, Gillespie KM, Lernmark A, Kockum I, Sanjeevi CB, Rønningen KS, Undlien DE, Thorsby E, Petrone A, Buzzetti R, Koeleman BPC, Roep BO, Saruhan-Direskeneli G, Uyar FA, Günoz H, Gorodezky C, Alaez C, Boehm BO, Mlynarski W, Ikegami H, Berrino M, Fasano ME, Dametto E, Israel S, Brautbaur C, Santiago-Cortes A, Frazer de Llado T, She J-X, Bugawan TL, Rotter JI, Raffel L, Zeidler A, Leyva-Cobian F, Hawkins BR, Chan SH, Castano L, Pociot F, Nerup J: Relative predispositional effects of HLA class II DRB1-DQB1 haplotypes and genotypes on type 1 diabetes. Tissue Antigens 70:110–127,2007 · DOI
- Lambert PA, Gillespie KM, Thomson F, Cordell HJ, Todd JA, Gale EAM, Bingley PJ: Absolute risk of childhood-onset type 1 diabetes defined by human leukocyte antigen class II genotype: a population-based study in the United Kingdom. J Clin Endocrinol Metab 89:4037–4043,2004 · DOI
- Awata T, Kuzuya T, Matsuda A, Iwamoto Y, Kanazawa Y: Genetic analysis of HLA class II alleles and susceptibility to type 1 (insulin-dependent) diabetes mellitus in Japanese subjects. Diabetologia 5:419–424,1992 · DOI
- Chuang LM, Wu HP, Tsai WY, Lin BJ, Tai TY: Transcomplementation of HLA DQA1-DQB1 in DR3/DR4 and DR3/DR9 heterozygotes and IDDM in Taiwanese families. Diabetes Care 18:1483–1486,1995 · DOI
- Hu CY, Allen M, Chuang LM, Lin BJ, Gyllensten U: Association of insulin-dependent diabetes mellitus in Taiwan with HLA class II DQB1 and DRB1 alleles. Hum Immunol 38:105–114,1993 · DOI
- Bilbao JR, Calvo B, Aransay AM, Martin-Pagola A, Perez de Nanclares G, Aly TA, Rica I, Vitoria JC, Gaztambide S, Noble J, Fain PR, Awdeh ZL, Alper CA, Castaño L: Conserved extended haplotypes discriminate HLA-DR3-homozygous Basque patients with type 1 diabetes mellitus and celiac disease. Genes Immun 7:550–554,2006 · DOI
- Robinson WP, Barbosa J, Rich SS, Thomson G: Homozygous parent affected sib pair method for detecting disease predisposing variants: application to insulin dependent diabetes mellitus. Genet Epidemiol 10:273,1993 · DOI
- Noble JA, Valdes AM, Lane JA, Green AE, Erlich HA: Linkage disequilibrium with predisposing DR3 haplotypes accounts for apparent effects of tumor necrosis factor and lymphotoxin-alpha polymorphisms on type 1 diabetes susceptibility. Hum Immunol 67:999–1004,2006 · DOI
- Todd JA, Bell JI, McDevitt HO: HLA-DQβ gene contributes to susceptibility and resistance to insulin-dependent diabetes mellitus. Nature 329:599–604,1987 · DOI
- Horn GT, Bugawan TL, Long C, Erlich HA: Allelic sequence variation of the HLA-DQ loci: relationship to serology and insulin-dependent diabetes susceptibility. Proc Natl Acad Sci U S A 85:6012–6016,1988 · DOI
- Rotter JI, Anderson CE, Rubin R, Congleton JE, Terasaki PI, Rimoin DL: HLA genotypic study of insulin-dependent diabetes the excess of DR3/DR4 heterozygotes allows rejection of the recessive hypothesis. Diabetes 32:169–174,1983 · DOI
- Svejgaard A, Platz P, Ryder LP: HLA and disease: a 1982 survey. Immunol Rev 70:193–218,1983 · DOI
- Nepom GT, Erlich H: MHC class-II molecules and autoimmunity. Annu Rev Immunol 9:493–525,1990 · DOI
- Emery LM, Babu S, Bugawan TL, Norris JM, Erlich HA, Eisenbarth GS, Rewers M: Newborn HLA-DR,DQ genotype screening: age- and ethnicity-specific type 1 diabetes risk estimates. Pediatr Diabetes 6:136–144,2005 · DOI
- Thorsby E: Invited anniversary review: HLA associated disease. Hum Immunol 53:1–11,1997 · DOI
- Kwok WW, Schwarz D, Nepom BS, Hock RA, Thurtle PS, Nepom GT: HLA-DQ molecules form α-β heterodimers of mixed allotype. J Immunol 141:3123–3127,1988 · DOI
- Kwok WW, Kovats S, Thurtle P, Nepom GT: HLA-DQ allelic polymorphisms constrain patterns of class II heterodimer formation. J Immunol 150:2263–2272,1993 · DOI
- Nepom BS, Schwartz D, Palmer JP, Nepom GT: Transcomplementation of HLA genes in IDDM. HLA-DQα- and β-chains produce hybrid molecules in DR3/4 heterozygotes. Diabetes 36:114–117,1987 · DOI
- Ronningen KS, Gjertsen HA, Iwe T, Spurkland A, Hansen T, Thorsby E: Particular HLA-DQ αβ heterodimer associated with IDDM susceptibility DR4-DQw8/DRw8-DQw4 whites. Diabetes 40:759–763,1991 · DOI
- Erlich HA, Mack SJ, Bergstrom T, Gyllensten UB: HLA class II alleles in Amerindian populations: implications for the evolution of HLA polymorphism and the colonization of the Americas. Hereditas 127:19–24,1997 · DOI
- Reichstetter S, Kwok WW, Nepom GT: Impaired binding of a DQ2 and DQ8-binding HSV VP16 peptide to a DQA1*0501/DQB1*0302 trans class II heterodimer. Tissue Antigens 53:101–105,1999 · DOI
- Tollefsen S, Arentz-Hansen H, Fleckenstein B, Molberg O, Raki M, Kwok WW, Jung G, Lundin KEA, Sollid LM: HLA-DQ2 and -DQ8 signatures of gluten T cell epitopes in celiac disease. J Clin Invest 116:2226–2236,2006 · DOI
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Items 501–600 of 694
Cepeda, J. R., Sekhar, N. S., Han, J.-Y., Xiong, W., Zhang, N.-Y., Yu, L.-P., Dai, S., Davidson, H., Kappler, J., An, Z., et al. (2020) · mAbs · doi:10.1080/19420862.2020.1836714 · Cited by 7
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Mehdizadeh, M., Akbari, M., Sayad, A., Hoseini, R., Mehdizadeh, M., Tabarraei, M., Keihani, M., Mohseni, Y., Roshandel, E., Abedinpour, S., et al. (2013) · doi:10.15412/j.jbtw.01020501 · Cited by 7
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Bassig, B. A., Inskip, P., Burdette, L. A., Shapiro, W., Selker, R., Fine, H., Loeffler, J., Black, P., Dubrow, R., & Brenner, A. (2010) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2010.11.005 · Cited by 7
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Self-citationNandhini, L. P., Kamalanathan, S., & Sahoo, J. (2019) · Springer eBooks · doi:10.1007/978-3-030-11815-0_6 · Cited by 3
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Moustakas, A. K., Nguyen, H. Q. T., James, E. A., & Papadopoulos, G. K. (2023) · Cellular Immunology · doi:10.1016/j.cellimm.2023.104729 · Cited by 9
Association analysis between the TLR9 gene polymorphism rs352140 and type 1 diabetes
Wang, Y., Xia, Y., Chen, Y., Xu, L., Sun, X., Li, J., Huang, G., Li, X., Xie, Z., & Zhou, Z. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1030736 · Cited by 7
Immunogenetic Epidemiology of Type 1 Diabetes in 14 Continental Western European Countries
James, L. M., & Georgopoulos, A. P. (2021) · Journal of Immunological Sciences · doi:10.29245/2578-3009/2021/3.1219 · Cited by 11
Santos, D. C., Pôrto, L. C., Pizarro, M. H., de Melo, L. G. N., Silva, D., Oliveira, R. V., Villela, A. P., Muniz, L. H., Soares, C., Tannus, L., et al. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00702-y · Cited by 6
Manoylov, I. K., Boneva, G., Doytchinova, I. A., Mihaylova, N., & Tchorbanov, A. I. (2019) · Clinical & Experimental Immunology · doi:10.1111/cei.13305 · Cited by 8
Santana-del-Pino, Á., Medina-Rodríguez, N., Hernández-García, M., Nóvoa-Mogollón, F. J., & Wägner, A. (2017) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2016.12.003 · Cited by 6
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BackgroundDerakhshan, S. M., Sehrig, F. Z., Sohrabi, N., Shiva, S., Baradaran, B., & Shekari-Khaniani, M. (2015) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.28380 · Cited by 6
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Steck, A. K., & Rewers, M. J. (2015) · Wiley eBooks · doi:10.1002/9781118387658.ch2 · Cited by 5
Beato-Víbora, P., & Tormo-García, M. Á. (2014) · Endocrine Research · doi:10.3109/07435800.2013.840651 · Cited by 6
“The presence of the main haplotypes related to a high risk of developing T1DM was evaluated (16).”
Background3D Bioprinting Strategies in Autoimmune Disease Models
Krata, N., Foroncewicz, B., Zagożdżon, R., & Mucha, K. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms27010343 · Cited by 4
“T1D is a polygenic disorder, one strongly influenced by the human leukocyte antigen (HLA) region [70,71].”
Renac, V., Moalic, V., Dautin, G., Chérel, M., Mercier, B., Walencik, A., Cohen, J. H. M., Farce, F., Proust, B., Kaveri, R., et al. (2025) · HLA · doi:10.1111/tan.70442 · Cited by 5
Ripoli, C., Ricciardi, M. R., Angelo, M. R., & Ripoli, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-57958-3 · Cited by 5
Bonnell, J., Alcazar, O., Watts, B. M., Buchwald, P., Abdulreda, M. H., & Ogihara, M. (2024) · Biomedicines · doi:10.3390/biomedicines12030492 · Cited by 5
“Currently accepted biomarkers for T1D include genetic susceptibility markers (e.g., HLA-DRB1 and HLA-DQB1), the presence of autoantibodies against pancreatic islet antigens, and various metabolic indicators (e.g., body mass index, BMI, and glucose tolerance under challenge) [4–6].”
BackgroundCaramalho, Í., Matoso, P., Ligeiro, D., Paixão, T., Sobral, D., Fitas, A. L., Limbert, C., Demengeot, J., & Penha‐Gonçalves, C. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1299609 · Cited by 5
Genetic variants and risk of endocrine autoimmunity in relatives of patients with Addison’s disease
Fichna, M., Małecki, P. P., Żurawek, M., Furman, K., Gębarski, B., Fichna, P., & Ruchała, M. A. (2023) · Endocrine Connections · doi:10.1530/ec-23-0008 · Cited by 5
Oka, S., Higuchi, T., Furukawa, H., Shimada, K., Hashimoto, A., Komiya, A., Matsui, T., Fukui, N., Suematsu, E., Ohno, S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14116-x · Cited by 5
Li, Z., Veijola, R., Koski, E., Anand, V., Martin, F., Waugh, K., Hyöty, H., Winkler, C., Killian, M. B., Lundgren, M., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac121 · Cited by 7
High‐resolution genotyping of HLA class I loci in children with type 1 diabetes and celiac disease
Alshiekh, S., Geraghty, D., & Agardh, D. (2021) · HLA · doi:10.1111/tan.14280 · Cited by 5
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Oftedal, B. E., & Wolff, A. S. B. (2020) · Scandinavian Journal of Immunology · doi:10.1111/sji.12961 · Cited by 7
“glucagon-like peptide 1-(7-36)amide, GLP-184) and suppressors.”
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Ostrov, D. A., Gottlieb, P. A., & Michels, A. W. (2019) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000470 · Cited by 7
Stoupa, A., & Dorchy, H. (2015) · Pediatric Diabetes · doi:10.1111/pedi.12293 · Cited by 4
Raha, O., Sarkar, B., Veerraju, P., Sudhakar, G., Raychaudhuri, P., Mukhopadhyay, S., & Rao, V. (2013) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2012.0221 · Cited by 5
“…and insulin (IDDM2) gene regions, while multiple association studies and genome linkage, association scans and genome wide association study have confirmed that the greatest genetic risk is associated with variation within the HLA region for T1DM (Concannon et al ., 2005; Erlich et al ., 2008).”
Willcocks, L. C., Lyons, P., Rees, A. J., & Smith, K. G. C. (2010) · Arthritis Research & Therapy · doi:10.1186/ar2928 · Cited by 81
Guyer, P., Seminova, K., Lugar, M., Manganaro, A., de la Cruz, E. V., Hartley, R., Smithmyer, M. E., Speake, C., Bonifacio, E. E., Kent, S. C., et al. (2025) · Diabetologia · doi:10.1007/s00125-025-06458-8 · Cited by 4
Obaied, M. H. R., Ozer, N., Alawneh, H. I., & Dalmizrak, O. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10438-x · Cited by 4
A review of the genetics of type I diabetes
Tait, B. D. (2024) · Exploration of Immunology · doi:10.37349/ei.2024.00160 · Cited by 5
Nóvoa-Medina, Y., Marcelino-Rodriguez, I., Suárez, N. M., Barreiro-Bautista, M., Rivas-García, E., Sánchez-Alonso, S., González-Martínez, G., Quinteiro-González, S., Domínguez, Á., Cabrera, M., et al. (2024) · BMC Pediatrics · doi:10.1186/s12887-024-04983-w · Cited by 4
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BackgroundResultInfluentialYabuki, S., Hirai, H., MORIYA, C. T., Kusano, Y., & Hasegawa, T. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1407192 · Cited by 5
Shirizadeh, A., Razavi, Z., Saeedi, V., Faradmal, J., Roshanaei, G., Hajilooi, M., Morahan, G., & Solgi, G. (2024) · HLA · doi:10.1111/tan.15446 · Cited by 3
Goff, C., Plaxe, S., White, W., & Dasanu, C. (2023) · Journal of Oncology Pharmacy Practice · doi:10.1177/10781552221148973 · Cited by 4
Ricci, S., Perugia, F., Piccini, B., Lodi, L., Pegoraro, F., Giovannini, M., Rombolá, G., Perferi, G., Toni, S., & Azzari, C. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276896 · Cited by 4
Chatenoud, L., Marquet, C., Valette, F., Scott, L., Quan, J., Bu, C. H., Hildebrand, S., Moresco, E. M. Y., Bach, J., & Beutler, B. (2022) · Disease Models & Mechanisms · doi:10.1242/dmm.049484 · Cited by 4
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BackgroundMethodInfluentialCheng, W., Ramachandran, S., & Crawford, L. (2022) · bioRxiv · doi:10.1016/j.isci.2022.104553 · Cited by 4
“The second part of the data analysis used data from the Wellcome Trust Case Control Consortium (WTCCC) one study (Wellcome Trust Case Control Consortium, 2007) which consists of about 14,000 cases of seven common diseases, including 1,963 cases of type 1 diabetes (T1D) and 1,924 cases of type 2 diabetes (T2D), as well…”
BackgroundInfluentialHughes, M. S., Pietropaolo, M., Vasudevan, M. M., Marcelli, M., & Nguyen, H. (2020) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaa150 · Cited by 7
Niedźwiedzka-Rystwej, P., Wołącewicz, M., Cywoniuk, P., Klak, M., & Wszoła, M. (2020) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.1007/s00005-020-00578-2 · Cited by 4
El-fotoh, W., Midan, D. A. E. R., & Shalakany, A. E. E. (2019) · Current Diabetes Reviews · doi:10.2174/1573399814666180709102533 · Cited by 4
Miettinen, M. E., Kinnunen, L., Harjutsalo, V., Aimonen, K., Surcel, H.-M., Lamberg-Allardt, C. J. E., & Tuomilehto, J. O. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2016.160 · Cited by 7
A role for HLA‐DRB1*1101 and DRB1*0801 in cognitive ability and its decline with age
Payton, A., Dawes, P., Platt, H., Morton, C. C., Moore, D. R., Massey, J., Horan, M. A., Ollier, W., Munro, K. J., & Pendleton, N. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32393 · Cited by 2
“…(JIA) [Massa et al., 2002],multiple sclerosis (MS) [Qiu et al., 2010], systemic lupus erythematosus [Graham et al., 2002; Casta~noRodrı́guez et al., 2008], type 1 diabetes [Petrone et al., 2002; Erlich et al., 2008; Muixı́ et al., 2011], and PBC [Donaldson et al., 2001; Chow et al., 2013].”
BackgroundLane, J. A., Johnson, J., & Noble, J. (2015) · Human Immunology · doi:10.1016/j.humimm.2015.07.235 · Cited by 4
Self-citationTargeting the Trimolecular Complex: The Pathway Towards Type 1 Diabetes Prevention
Michels, A. W. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0114 · Cited by 4
Genetics of Primary Biliary Cirrhosis
Mells, G. F., & Hirschfield, G. M. (2013) · Wiley eBooks · doi:10.1002/9780470015902.a0024406 · Cited by 5
Identification of MhcMafa‐DRB Alleles in a Cohort of Cynomolgus Macaques of Vietnamese Origin
Li, W., Wang, T., Ling, F., Zhao, H., Wei, L.-Q., Zhuo, M., Du, H., & Wang, X. (2012) · American Journal of Primatology · doi:10.1002/ajp.22048 · Cited by 4
“In recent years, many research groups have suggested that HLA-DRB1 alleles and haplotypes are associated with many diseases, including type 1 diabetes [Al-Jenaidi et al., 2005; Erlich et al., 2008; Horton et al., 1999; Katahira et al., 2009; Stayoussef et al., 2009], rheumatoid arthritis [Castro et al.”
BackgroundGenetic Determinants of Type 1 Diabetes
Jahromi, M. (2011) · InTech eBooks · doi:10.5772/24783 · Cited by 4
An insight into the genetics of type 1 Diabetes
Espino-Paisán, L., Urcelay, E., & Santiago, J. L. (2009) · Inmunología · doi:10.1016/s0213-9626(09)70040-x · Cited by 4
Watkinson, J., & Anastassiou, D. (2009) · Bioinform. · doi:10.1093/bioinformatics/btp159 · Cited by 4
“On the other hand, Figure 1b shows an area of potential epistatic interaction between two genomic regions at different chromosomes with respect to Crohn’s disease, which we also generated using the WTCCC data.”
BackgroundInfluentialAutoimmune Endocrine Disorders
Barker, J. M. (2013) · Humana Press eBooks · doi:10.1007/978-1-60761-395-4_31 · Cited by 1
The multifaceted role of B lymphocytes in type 1 diabetes.
Khalefa, S. A., Nasr, M. B., Usuelli, V., Yerra, P., Lunati, M. E., & Fiorina, P. (2026) · Seminars in Immunology · doi:10.1016/j.smim.2026.102034 · Cited by 3
The diabetes exposome: interplay of environmental and genetic determinants in diabetes
Zia, B., Alkaabi, J., Agha, A., Sharma, C., & Ali, B. R. (2026) · Human Genomics · doi:10.1186/s40246-026-00987-y · Cited by 3
“…one of the high-risk haplotypes DRB103:01–DQA105:01– DQB102:01 (DR3–DQ2) or DRB104:xx–DQA103:01– DQB103:02 (DR4–DQ8), and the DR3–DQ2/DR4–DQ8 diplotype confers the highest known genetic risk, with up to an approximately 45-fold increase in risk relative to neutral or protective genotypes [59, 60].”
Genetic association and machine learning improve the prediction of type 1 diabetes risk
MCGRAIL, C., Sears, T. J., Griffin, E. N., Ghaben, A. L., Smadbeck, P., Flannick, J. A., Kudtarkar, P., Carter, H., & Gaulton, K. J. (2026) · Nature Genetics · doi:10.1038/s41588-026-02578-y · Cited by 12
“We also performed a ‘preconditional’ analysis to examine the effect of signals outside of 70 established class I and II HLA risk alleles and 20 DR3/DR4 pairwise HLA haplotypic and allelic interactions 24,49–51 .”
Bombicino, S. S., Trabucchi, A., Sabljic, A. V., Marfía, J. I., Iacono, R. F., & Valdez, S. N. (2025) · European journal of medical research · doi:10.1186/s40001-025-03457-8 · Cited by 3
Saksager, A. B., Hede, F. D., & Barra, C. (2025) · Journal of Autoimmunity · doi:10.1016/j.jaut.2025.103443 · Cited by 6
Type 1 diabetes and parasite infection: An exploratory study in NOD mice
Giraud, E., Fiette, L., & Melanitou, E. (2024) · PLoS ONE · doi:10.1371/journal.pone.0308868 · Cited by 3
Mochizuki, S., Miura, J., Ucida, K., Kubota, R., Fujikawa, H., Takagi, S., Yoshida, N., Otake, S., Fujimori, C., Shinohara, A., et al. (2024) · Diabetology International · doi:10.1007/s13340-024-00695-9 · Cited by 3
“The first patient was found to be susceptible to both DRB1 and DQB1 , whereas the second patient was susceptible only to DRB1 [17].”
Devi, M. B., Sarma, H. K., Mukherjee, A. K., & Khan, M. R. (2023) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-023-10087-1 · Cited by 5
Kumar, S., Gupta, M., Gupta, S., & Katara, P. (2022) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2022.2134211 · Cited by 3
“The basal connotations of the HLA class II genes, i.e., HLA-DRb1 and HLA-DQb1, and the class I genes, i.e., HLA-A and HLA-b, with type 1 diabetes (T1D) are already reported (Erlich et al., 2013; Erlich et al., 2008; Noble & Valdes 2011; Sticht et al., 2021).”
BackgroundRecent Expeditious Growth of Type 1 Diabetes in the Gulf Arab CountriesPreprint
Jahromi, M., Sheikh, M. A., & Tuomilehto, J. (2021) · Preprints.org · doi:10.20944/preprints202108.0283.v1 · Cited by 4
“There are only a few HLA studies conducted in Arab countries that compare the contribution of HLA genes to the rise of T1D (Table 1) [1, 2, 35-55].”
BackgroundA new classification of diabetes mellitus – current approaches and challenges
Szatko, A., Mordarska, K., Pokrzywa, J., & Godziejewska-Zawada, M. (2020) · Wiedza Medyczna · doi:10.36553/wm.65 · Cited by 3
Naito, T., Suzuki, K., Hirata, J., Kamatani, Y., Matsuda, K., Toda, T., & Okada, Y. (2020) · medRxiv · doi:10.1101/2020.08.10.20170522 · Cited by 3
HLA Risk Haplotype: Insulin Deficiency in Pediatric Type 1 Diabetes.
Gómez-Díaz, R., Nishimura-Meguro, E., Garrido-Magaña, E., Lizárraga-Paulín, L., Aguilar-Herrera, B. E., Bekker-Méndez, C., Medina-Santillán, R., Barquera, R., Mondragón-González, R., & Wacher, N. (2016) · Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion · doi:10.1016/s0034-8376(25)00266-9 · Cited by 3
HLA alleles may serve as a tool to discriminate atypical type 2 diabetic patients
Fernández, M. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i5.711 · Cited by 2
Update on Genetic Determinants of Type1 Diabetes
Lysy, P. (2014) · Journal of Molecular and Genetic Medicine · doi:10.4172/1747-0862.1000126 · Cited by 3
Genetic Risk Factors for Gestational Diabetes
Petry, C. (2014) · doi:10.1201/b16474-7 · Cited by 3
Prevention of Type 1A Diabetes Mellitus
Eisenbarth, G. S. (2012) · Endocrine Practice · doi:10.4158/ep12080.or · Cited by 10
Insights into the genetic aetiology of diabetes in Africa
Wade, A. N., Padoa, C. J., Adeyemo, A., & Barroso, I. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106265
“17 Studies investigating HLA associations with T1D in African populations (Table 1) are limited and primarily originate from north African countries whose populations exhibit strong Middle Eastern and Mediterranean influences.”
InfluentialAlipoor, S., Ahrens, A., Åkesson, J., Hillerton, T., Gustafsson, M., Lerm, M., & Ludvigsson, J. (2026) · Journal of Internal Medicine · doi:10.1111/joim.70077 · Cited by 2
Mayer-Blackwell, K., Minervina, A. A., Pogorelyy, M. V., Rawat, P., Shapiro, M. R., Peters, L. D., Ford, E. S., Posgai, A. L., Vegesana, K., Minot, S. S., et al. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013767 · Cited by 4
“Because certain class II alleles are strongly associated with the risk of developing T1D [50–52], the allelic prevalence in the training data is partially skewed from that of the general population of the United States and from other cohorts in the training data [53].”
Immune-Related Adverse Events of Checkpoint Inhibitors and Human Leukocyte Antigen System: A Review
Kośmider, K., Kozakiewicz, A., Krawczyk, P. A., Kieszko, R., Szklener, K., Skórzewska, M., Wojas‐Krawczyk, K., Kalinka‐Warzocha, E., & Milanowski, J. (2025) · ImmunoTargets and Therapy · doi:10.2147/itt.s548443 · Cited by 2
The Role of HLA Class II Two‐Locus Haplotypes and Genotypes in Chinese With Type 1 Diabetes
Liu, J.-H., Luo, S.-M., Xie, Z.-G., Xia, Y., Lin, J., Huang, G., Li, X., & Zhou, Z.-G. (2025) · Diabetes/Metabolism Research Reviews · doi:10.1002/dmrr.70103 · Cited by 2
Ji, P., Zhang, Y., Zhang, W., Leng, B., Nie, R., Shen, C., & Yu, H. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1499796 · Cited by 2
Moosavi, A., Tabrizi, Z. A., Eghbali, Z., Barzegari, A., Hejazian, S. M., Kheiri, S., & Seyedmadani, S. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112359 · Cited by 2
Zhang, Y., Liu, X., Yang, S., Yang, X., Shang, M., Zhang, Y., & Tian, L. (2024) · Acta Diabetologica · doi:10.1007/s00592-024-02427-6 · Cited by 2
Infante, M., Vitiello, L., Fabbri, A., Ricordi, C., Padilla, N., Pacifici, F., Perna, P., Passeri, M., Della‐Morte, D., Caprio, M., et al. (2023) · Immunotherapy · doi:10.2217/imt-2022-0266 · Cited by 2
Effect of sancai powder on glacemic variability of type 1 diabetes in China
Yu, W., Zhou, D., Zhang, L., Chen, R., Zhang, P., Sun, L., & Gao, Z. (2020) · Medicine · doi:10.1097/md.0000000000020772 · Cited by 2
Ketosis prone diabetes presenting as fulminant type 1 diabetes
Krompa, K., Barka, I., Malard, S., Tatulashvili, S., Baudry, C., Bihan, H., & Fysekidis, M. (2018) · Pan African Medical Journal · doi:10.11604/pamj.2018.31.38.16162 · Cited by 2
Challenges to Reshape the Future of Type 1 Diabetes Research
Bleich, D., & Wagner, D. H. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-00568 · Cited by 4
Diabetes and Health Care: An Overview
Abhilash, M., & Augustine, R. (2014) · Apple Academic Press eBooks · doi:10.1201/b16415-6 · Cited by 2
HLA-DR, HLA-DQ Haplotypes and Diabetic Autoantibodies in Nondiabetic Siblings of Type I Diabetes
Awadalla, S., & Hakbany, M. A. (2015) · doi:10.4172/2155-6156.1000580 · Cited by 2
Recursive organizer (ROR): an analytic framework for sequence-based association analysis
Zhao, L. P., & Huang, X. (2013) · Human Genetics · doi:10.1007/s00439-013-1285-4 · Cited by 2
“Indeed, the classic allele HLA-DRB1*15:01 in SSV#02 is known on a haplotype of HLA-DRB1*15:01-DQA1*01:02-DQB1*06: 02 (Erlich et al. 2008).”
Sun, Y.-X., Zhu, F., Wang, M., Ma, S.-H., & Liao, Y.-H. (2010) · Clinical and experimental hypertension · doi:10.3109/10641963.2010.496520 · Cited by 2
Infectious diseases and Type 1 diabetes in children
Tenconi, M., & Martinetti, M. (2008) · Pediatric Health · doi:10.2217/17455111.2.5.583 · Cited by 2
Gehlot, P., & Holoshitz, J. (2016) · doi:10.1016/b978-0-12-374279-7.06013-6 · Cited by 2
Michels, A., Jeffrey, J., & Eisenbarth, G. (2011) · Humana Press eBooks · doi:10.1007/978-1-60327-478-4_15 · Cited by 2
Immunotherapy of Type-1 Diabetes: Immunoprevention and Immunoreversal
Waldron-Lynch, F., & Herold, K. C. (2010) · Humana Press eBooks · doi:10.1007/978-1-60327-478-4_18 · Cited by 2
Type 1 Diabetes—Pathogenesis, Prediction, and Prevention
Baker, P. R., II, & Eisenbarth, G. S. (2009) · US Endocrinology · doi:10.17925/use.2009.05.1.79 · Cited by 1
Ngcobo, N. N., & Sibiya, N. H. (2026) · Pathophysiology · doi:10.3390/pathophysiology33030048 · Cited by 1
“Specific haplotype combinations are associated with a spectrum of risk levels, ranging from high susceptibility to relative protection [19].”
Global determinants and preventive intervention strategies in pediatric type 1 diabetes mellitus
Soliman, N. A., Soliman, A. T., Ahmed, S., Alyafei, F., AlHumaidi, N., Hamed, N., Alaaraj, N., Yassin, D. K., & Elawwa, A. (2026) · Journal of Pediatric Endocrinology and Diabetes · doi:10.25259/jped_56_2025 · Cited by 1
Significance and challenges of immunopharmacogenomics
Handzha, L. H., & Nakamura, Y. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1711887 · Cited by 1
Mayer-Blackwell, K., Minervina, A. A., Pogorelyy, M., Rawat, P., Shapiro, M., Peters, L., Ford, E. S., Posgai, A., Vengesana, K., Minot, S., et al. (2025) · bioRxiv · doi:10.1101/2025.07.18.665436 · Cited by 1
“Because certain class II alleles are strongly associated with the risk of developing T1D [48–50], the allelic prevalence in the training data is partially skewed from that of the general population of the United States and from other cohorts in the training data [51].”
Kuang, H., Wu, J., Huang, T., Yan, K., Hu, X.-Y., Wu, Y., Wang, Y., Wu, Z., Chen, X., & Yuan, G. (2025) · Journal of Diabetes Investigation · doi:10.1111/jdi.70114 · Cited by 1
Sung, C. J., Plowman, O. M., Maxwell, A. J., Rawlinson, W. D., Craig, M. E., & Kim, K. W. (2025) · EClinicalMedicine · doi:10.1016/j.eclinm.2025.103324 · Cited by 1
Testing for loss severity: Impact on loss reduction
Tan, K. M. (2025) · Risk Management & Insurance Review · doi:10.1111/rmir.70000 · Cited by 1
Zhou, Y., Chen, Y., Zhang, S., Wen, Z., Zhuang, Z., Liu, X., & Ni, Q. (2025) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2024.2448202 · Cited by 1
“Genotyping of some T1DM patients reveals that 90% have HLA-DR3-DQ2 and DR4-DQ8 haplotypes, known as primary T1DM risk factors [32,33].”
Metadata
- 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 › Clinical Neurology › 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
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