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HLA genotyping in the international Type 1 Diabetes Genetics Consortium

Mychaleckyj, Josyf C.; Noble, Janelle A.; Moonsamy, Priscilla V.; Carlson, Joyce LU ; Varney, Michael D.; Post, Jeff; Helmberg, Wolfgang; Pierce, June J.; Bonella, Persia and Fear, Anna Lisa, et al. (2010) In Clinical Trials 7(1 suppl.). p.75-87
Abstract
Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers. Purpose In this article, we present the operational strategy of training, classification, reporting, and quality control of HLA genotyping in four laboratories on three... (More)
Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers. Purpose In this article, we present the operational strategy of training, classification, reporting, and quality control of HLA genotyping in four laboratories on three continents over nearly 5 years. Methods Methods to standardize HLA genotyping at eight loci included: central training and initial certification testing; the use of uniform reagents, protocols, instrumentation, and software versions; an automated data transfer; and the use of standardized nomenclature and allele databases. We implemented a rigorous and consistent quality control process, reinforced by repeated workshops, yearly meetings, and telephone conferences. Results A total of 15,246 samples have been HLA genotyped at eight loci to four-digit resolution; an additional 6797 samples have been HLA genotyped at two loci. The genotyping repeat rate decreased significantly over time, with an estimated unresolved Mendelian inconsistency rate of 0.21%. Annual quality control exercises tested 2192 genotypes (4384 alleles) and achieved 99.82% intra-laboratory and 99.68% inter-laboratory concordances. Limitations The chosen genotyping platform was unable to distinguish many allele combinations, which would require further multiple stepwise testing to resolve. For these combinations, a standard allele assignment was agreed upon, allowing further analysis if required. Conclusions High-resolution HLA genotyping can be performed in multiple laboratories using standard equipment, reagents, protocols, software, and communication to produce consistent and reproducible data with minimal systematic error. Many of the strategies used in this study are generally applicable to other large multi-center studies. Clinical Trials 2010; 7: S75-S87. http://ctj.sagepub.com. (Less)
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Clinical Trials
volume
7
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1 suppl.
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75 - 87
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SAGE Publications Inc.
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  • wos:000280707300006
  • scopus:79952279806
ISSN
1740-7753
DOI
10.1177/1740774510373494
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English
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3062dbb7-7d90-4c9d-b2a1-6ac92f58f43e (old id 1676829)
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@article{3062dbb7-7d90-4c9d-b2a1-6ac92f58f43e,
  abstract     = {Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers. Purpose In this article, we present the operational strategy of training, classification, reporting, and quality control of HLA genotyping in four laboratories on three continents over nearly 5 years. Methods Methods to standardize HLA genotyping at eight loci included: central training and initial certification testing; the use of uniform reagents, protocols, instrumentation, and software versions; an automated data transfer; and the use of standardized nomenclature and allele databases. We implemented a rigorous and consistent quality control process, reinforced by repeated workshops, yearly meetings, and telephone conferences. Results A total of 15,246 samples have been HLA genotyped at eight loci to four-digit resolution; an additional 6797 samples have been HLA genotyped at two loci. The genotyping repeat rate decreased significantly over time, with an estimated unresolved Mendelian inconsistency rate of 0.21%. Annual quality control exercises tested 2192 genotypes (4384 alleles) and achieved 99.82% intra-laboratory and 99.68% inter-laboratory concordances. Limitations The chosen genotyping platform was unable to distinguish many allele combinations, which would require further multiple stepwise testing to resolve. For these combinations, a standard allele assignment was agreed upon, allowing further analysis if required. Conclusions High-resolution HLA genotyping can be performed in multiple laboratories using standard equipment, reagents, protocols, software, and communication to produce consistent and reproducible data with minimal systematic error. Many of the strategies used in this study are generally applicable to other large multi-center studies. Clinical Trials 2010; 7: S75-S87. http://ctj.sagepub.com.},
  author       = {Mychaleckyj, Josyf C. and Noble, Janelle A. and Moonsamy, Priscilla V. and Carlson, Joyce and Varney, Michael D. and Post, Jeff and Helmberg, Wolfgang and Pierce, June J. and Bonella, Persia and Fear, Anna Lisa and Lavant, Eva and Louey, Anthony and Boyle, Sean and Lane, Julie A. and Sali, Paul and Kim, Samuel and Rappner, Rebecca and Williams, Dustin T. and Perdue, Letitia H. and Reboussin, David M. and Tait, Brian D. and Akolkar, Beena and Hilner, Joan E. and Steffes, Michael W. and Erlich, Henry A.},
  issn         = {1740-7753},
  language     = {eng},
  number       = {1 suppl.},
  pages        = {75--87},
  publisher    = {SAGE Publications Inc.},
  series       = {Clinical Trials},
  title        = {HLA genotyping in the international Type 1 Diabetes Genetics Consortium},
  url          = {http://dx.doi.org/10.1177/1740774510373494},
  volume       = {7},
  year         = {2010},
}