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Redondo MJ, Harrall KK, Glueck DH, Tosur M, Uysal S, Muir A, Atkinson EG, Shapiro MR, Yu L, Winter WE, Weedon M, Brusko TM, Oram R, Vehik K, Hagopian W, Atkinson MA, Dabelea D. Diabetes Study of Children of Diverse Ethnicity and Race: Study design. Diabetes Metab Res Rev 2024; 40:e3744. [PMID: 37888801 PMCID: PMC10939959 DOI: 10.1002/dmrr.3744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/16/2023] [Accepted: 10/03/2023] [Indexed: 10/28/2023]
Abstract
AIMS Determining diabetes type in children has become increasingly difficult due to an overlap in typical characteristics between type 1 diabetes (T1D) and type 2 diabetes (T2D). The Diabetes Study in Children of Diverse Ethnicity and Race (DISCOVER) programme is a National Institutes of Health (NIH)-supported multicenter, prospective, observational study that enrols children and adolescents with non-secondary diabetes. The primary aim of the study was to develop improved models to differentiate between T1D and T2D in diverse youth. MATERIALS AND METHODS The proposed models will evaluate the utility of three existing T1D genetic risk scores in combination with data on islet autoantibodies and other parameters typically available at the time of diabetes onset. Low non-fasting serum C-peptide (<0.6 nmol/L) between 3 and 10 years after diabetes diagnosis will be considered a biomarker for T1D as it reflects the loss of insulin secretion ability. Participating centres are enrolling youth (<19 years old) either with established diabetes (duration 3-10 years) for a cross-sectional evaluation or with recent onset diabetes (duration 3 weeks-15 months) for the longitudinal observation with annual visits for 3 years. Cross-sectional data will be used to develop models. Longitudinal data will be used to externally validate the best-fitting model. RESULTS The results are expected to improve the ability to classify diabetes type in a large and growing subset of children who have an unclear form of diabetes at diagnosis. CONCLUSIONS Accurate and timely classification of diabetes type will help establish the correct clinical management early in the course of the disease.
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Affiliation(s)
- Maria J. Redondo
- Diabetes and Endocrinology Division, Department of Pediatrics. Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Kylie K. Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Deborah H. Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mustafa Tosur
- Diabetes and Endocrinology Division, Department of Pediatrics. Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA
- Children’s Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Serife Uysal
- Diabetes and Endocrinology Division, Department of Pediatrics. Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Andrew Muir
- Department of Pediatrics, Emory University, Atlanta, GA, USA
| | - Elizabeth G. Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Melanie R. Shapiro
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine; Aurora, CO, USA
| | - William E. Winter
- Departments of Pathology and Pediatrics, University of Florida, Gainesville, FL, USA
| | - Michael Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Todd M. Brusko
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL, USA
| | - Richard Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | | | - Mark A. Atkinson
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, College of Medicine, Diabetes Institute, University of Florida, Gainesville, FL, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
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Noble JA, Besançon S, Sidibé AT, Rozemuller EH, Rijkers M, Dadkhodaie F, de Bruin H, Kooij J, Martin HRN, Ogle GD, Mack SJ. Complete HLA genotyping of type 1 diabetes patients and controls from Mali reveals both expected and novel disease associations. HLA 2024; 103:e15319. [PMID: 38226399 PMCID: PMC10863981 DOI: 10.1111/tan.15319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 01/17/2024]
Abstract
HLA genotyping was performed on 99 type 1 diabetes (T1D) patients and 200 controls from Mali. Next-generation sequencing of the classical HLA-A, -B, -C, -DRB1, -DRB3, -DRB4, -DRB5, -DQA1, -DQB1, -DPA1, and -DPB1 loci revealed strong T1D association for all loci except HLA-C and -DPA1. Class II association is stronger than class I association, with most observed associations predisposing or protective as expected based on previous studies. For example, HLA-DRB1*03:01, HLA-DRB1*09:01, and HLA-DRB1*04:05 predispose for T1D, whereas HLA-DRB1*15:03 is protective. HLA-DPB1*04:02 (OR = 12.73, p = 2.92 × 10-05 ) and HLA-B*27:05 (OR = 21.36, p = 3.72 × 10-05 ) appear highly predisposing, although previous studies involving multiple populations have reported HLA-DPB1*04:02 as T1D-protective and HLA-B*27:05 as neutral. This result may reflect the linkage disequilibrium between alleles on the extended HLA-A*24:02~HLA-B*27:05~HLA-C*02:02~HLA-DRB1*04:05~HLA-DRB4*01:03~HLA-DQB1*02:02~HLA-DQA1*02:01~HLA-DPB1*04:02~HLA-DPA1*01:03 haplotype in this population rather than an effect of either allele itself. Individual amino acid (AA) analyses are consistent with most T1D association attributable to HLA class II rather than class I in this data set. AA-level analyses reveal previously undescribed differences of the HLA-C locus from the HLA-A and HLA-B loci, with more polymorphic positions, spanning a larger portion of the gene. This may reflect additional mechanisms for HLA-C to influence T1D risk, for example, through expression differences or through its role as the dominant ligand for killer cell immunoglobulin-like receptors (KIR). Comparison of these data to those from larger studies and on other populations may facilitate T1D prediction and help elucidate elusive mechanisms of how HLA contributes to T1D risk and autoimmunity.
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Affiliation(s)
- Janelle A Noble
- Children's Hospital Oakland Research Institute, Oakland, California, USA
- Department of Pediatrics, University of California, San Francisco, Oakland, California, USA
| | | | | | | | | | | | | | | | - Harper R N Martin
- Children's Hospital Oakland Research Institute, Oakland, California, USA
| | - Graham D Ogle
- Life for a Child Program, Diabetes Australia, Glebe, New South Wales, Australia
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Steven J Mack
- Department of Pediatrics, University of California, San Francisco, Oakland, California, USA
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Gomes MB, Rodrigues V, Santos DC, Bôas PRV, Silva DA, de Sousa Azulay RS, Dib SA, Pavin EJ, Fernandes VO, Montenegro Junior RM, Felicio JS, Réa R, Negrato CA, Porto LC. Association between HLA Class II Alleles/Haplotypes and Genomic Ancestry in Brazilian Patients with Type 1 Diabetes: A Nationwide Exploratory Study. Genes (Basel) 2023; 14:genes14050991. [PMID: 37239351 DOI: 10.3390/genes14050991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/23/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
We aimed to identify HLA-DRB1, -DQA1, and -DQB1 alleles/haplotypes associated with European, African, or Native American genomic ancestry (GA) in admixed Brazilian patients with type 1 diabetes (T1D). This exploratory nationwide study enrolled 1599 participants. GA percentage was inferred using a panel of 46 ancestry informative marker-insertion/deletion. Receiver operating characteristic curve analysis (ROC) was applied to identify HLA class II alleles related to European, African, or Native American GA, and showed significant (p < 0.05) accuracy for identifying HLA risk alleles related to European GA: for DRB1*03:01, the area under the curve was (AUC) 0.533; for DRB1*04:01 AUC = 0.558, for DRB1*04:02 AUC = 0.545. A better accuracy for identifying African GA was observed for the risk allele DRB1*09:01AUC = 0.679 and for the protective alleles DRB1*03:02 AUC = 0.649, DRB1*11:02 AUC = 0.636, and DRB1*15:03 AUC = 0.690. Higher percentage of European GA was observed in patients with risk haplotypes (p < 0.05). African GA percentage was higher in patients with protective haplotypes (p < 0.05). Risk alleles and haplotypes were related to European GA and protective alleles/haplotypes to African GA. Future studies with other ancestry markers are warranted to fill the gap in knowledge regarding the genetic origin of T1D in highly admixed populations such as that found in Brazil.
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Affiliation(s)
- Marília Brito Gomes
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Rio de Janeiro 20950-003, Brazil
| | - Vandilson Rodrigues
- Research Group in Clinical and Molecular Endocrinology and Metabology (ENDOCLIM), São Luís 65080-805, Brazil
| | - Deborah Conte Santos
- Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Rio de Janeiro 20950-003, Brazil
| | - Paulo Ricardo Villas Bôas
- Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro 20950-003, Brazil
| | - Dayse A Silva
- DNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro 20550-900, Brazil
| | - Rossana Santiago de Sousa Azulay
- Research Group in Clinical and Molecular Endocrinology and Metabology (ENDOCLIM), São Luís 65080-805, Brazil
- Service of Endocrinology, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís 65020-070, Brazil
| | - Sergio Atala Dib
- Endocrinology Division, Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo 04023-062, Brazil
| | - Elizabeth João Pavin
- Endocrinology Division, School of Medical Sciences, University of Campinas (UNICAMP), São Paulo 13083-970, Brazil
| | - Virgínia Oliveira Fernandes
- Department of Clinical Medicine, Federal University of Ceará (UFC), Fortaleza 60430-275, Brazil
- Department of Community Health, Federal University of Ceará (UFC), Fortaleza 60430-275, Brazil
- Clinical Research Unit, Walter Cantídio University Hospital, Federal University of Ceará (UFC/EBSERH), Fortaleza 60430-372, Brazil
| | - Renan Magalhães Montenegro Junior
- Department of Clinical Medicine, Federal University of Ceará (UFC), Fortaleza 60430-275, Brazil
- Department of Community Health, Federal University of Ceará (UFC), Fortaleza 60430-275, Brazil
- Clinical Research Unit, Walter Cantídio University Hospital, Federal University of Ceará (UFC/EBSERH), Fortaleza 60430-372, Brazil
| | - João Soares Felicio
- Endocrinology Division, João de Barros Barreto University Hospital, Federal University of Pará (UFPA), Belém 66073-000, Brazil
| | - Rosangela Réa
- Endocrinology Unit, Federal University of Paraná (UFPR), Curitiba 80060-900, Brazil
| | - Carlos Antonio Negrato
- Medical Doctor Program, School of Dentistry, University of São Paulo (USP), Bauru 17012-901, Brazil
| | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro 20950-003, Brazil
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