<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mychaleckyj JC</submitter><funding>NIDDK NIH HHS</funding><pagination>S75-87</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC2917849</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(1 Suppl)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Purpose&lt;/h4>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.&lt;h4>Me</pubmed_abstract><journal>Clinical trials (London, England)</journal><pubmed_title>HLA genotyping in the international Type 1 Diabetes Genetics Consortium.</pubmed_title><pmcid>PMC2917849</pmcid><funding_grant_id>R01 DK061722</funding_grant_id><funding_grant_id>U01 DK062418</funding_grant_id><pubmed_authors>Pierce JJ</pubmed_authors><pubmed_authors>Varney MD</pubmed_authors><pubmed_authors>Rappner R</pubmed_authors><pubmed_authors>Moonsamy PV</pubmed_authors><pubmed_authors>T1DGC</pubmed_authors><pubmed_authors>Mychaleckyj JC</pubmed_authors><pubmed_authors>Lavant E</pubmed_authors><pubmed_authors>Lane JA</pubmed_authors><pubmed_authors>Akolkar B</pubmed_authors><pubmed_authors>Bonella P</pubmed_authors><pubmed_authors>Williams DT</pubmed_authors><pubmed_authors>Helmberg W</pubmed_authors><pubmed_authors>Erlich HA</pubmed_authors><pubmed_authors>Fear AL</pubmed_authors><pubmed_authors>Carlson JA</pubmed_authors><pubmed_authors>Louey A</pubmed_authors><pubmed_authors>Tait BD</pubmed_authors><pubmed_authors>Perdue LH</pubmed_authors><pubmed_authors>Steffes MW</pubmed_authors><pubmed_authors>Sali P</pubmed_authors><pubmed_authors>Kim S</pubmed_authors><pubmed_authors>Noble JA</pubmed_authors><pubmed_authors>Reboussin DM</pubmed_authors><pubmed_authors>Boyle S</pubmed_authors><pubmed_authors>Post J</pubmed_authors><pubmed_authors>Hilner JE</pubmed_authors></additional><is_claimable>false</is_claimable><name>HLA genotyping in the international Type 1 Diabetes Genetics Consortium.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Purpose&lt;/h4>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.&lt;h4>Me</description><dates><release>2010-01-01T00:00:00Z</release><publication>2010</publication><modification>2025-04-05T09:55:50.944Z</modification><creation>2019-06-06T22:16:46Z</creation></dates><accession>S-EPMC2917849</accession><cross_references><pubmed>20595243</pubmed><doi>10.1177/1740774510373494</doi></cross_references></HashMap>