{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T03:56:19Z","timestamp":1790567779018,"version":"4.1.0"},"reference-count":63,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health and Care Research","doi-asserted-by":"publisher","award":["NIHR205433"],"award-info":[{"award-number":["NIHR205433"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["HLA"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Registries of unrelated stem cell donors can use HLA haplotype frequencies to aid in registry management. DATRI is India's largest registry with over 550,000 donors, with donors in 35 of India's 36 states and union territories. A geographical based analysis on HLA haplotype frequencies has not previously been carried out with an Indian dataset of this size. To balance granularity and accuracy in estimating 5\u2010locus haplotype frequencies for HLA\u2010A, \u2010C, \u2010B, \u2010DRB1 and \u2010DQB1, we grouped donors into 18 regions with a minimum population size of 2000 donors. We identified the most frequent haplotype as\n                    <jats:italic>A*33:03\u2010ARD~C*07:01\u2010ARD~B*44:03\u2010ARD~DRB1*07:01\u2010ARD~DQB1*02:01\u2010ARD<\/jats:italic>\n                    in Odisha (6.09%), which was also the most frequent haplotype in nine other regions. Assigning the most likely diplotypes to donors, there were a total of 57,959 haplotypes and just 202 (0.3%) of those were present in all 18 regions. HLA\u2010B had the greatest number of alleles across the whole dataset (559) and HLA\u2010DQB1 the least (167). However, HLA\u2010C displayed the most inter\u2010region diversity with only 6.7% of HLA\u2010C alleles present in all regions (average 9.5%). We clustered the regions, using Nei's standard genetic distance, and these correlated with geography; however, three regions (North India, Kerala, and the Gujarat area) did not fit into any cluster. These regions each had one or more distinctive haplotypes that were very frequent (\u2265\u20090.5%) in that region alone. Additionally, the Gujarat area had the lowest diversity metrics. These data can be used to inform the management of registries and contribute to our understanding of HLA diversity globally.\n                  <\/jats:p>","DOI":"10.1111\/tan.70908","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T12:58:25Z","timestamp":1789649905000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>HLA<\/scp>\n                    Diversity of Over 500,000 Individuals on the\n                    <scp>DATRI<\/scp>\n                    Register Across 18 Regions in India"],"prefix":"10.1111","volume":"108","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0703-5324","authenticated-orcid":false,"given":"Michaela","family":"Agapiou","sequence":"first","affiliation":[{"name":"Anthony Nolan Research Institute  London UK"},{"name":"UCL Cancer Institute  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1408-7445","authenticated-orcid":false,"given":"Nezih","family":"Cereb","sequence":"additional","affiliation":[{"name":"DATRI Blood Stem Cell Donors Registry, Chennai, India"},{"name":"Histogenetics  Ossining New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudia","family":"Rutt","sequence":"additional","affiliation":[{"name":"DATRI Blood Stem Cell Donors Registry, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2855-4120","authenticated-orcid":false,"given":"Steven G. E.","family":"Marsh","sequence":"additional","affiliation":[{"name":"UCL Cancer Institute  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2187-5944","authenticated-orcid":false,"given":"James","family":"Robinson","sequence":"additional","affiliation":[{"name":"Anthony Nolan Research Institute  London UK"},{"name":"UCL Cancer Institute  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,17]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood\u20102007\u201006\u2010097386"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/bmt.2016.352"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbmt.2018.12.768"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1006862"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkac1011"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tig.2020.01.008"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tig.2012.06.007"},{"key":"e_1_2_9_9_1","unstructured":"J.Robinson \u201cUnderstanding and Visualising the Variation in HLA \u201d(2023) https:\/\/discovery.ucl.ac.uk\/id\/eprint\/10165241\/."},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1744\u2010313X.2012.01113.x"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.12356"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.humimm.2021.04.007"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.beha.2024.101559"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkz1029"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.12093"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.12956"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.13378"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.13358"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.13811"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.70051"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.14127"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.humimm.2013.06.025"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00251\u2010018\u20101059\u20101"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.humimm.2025.111324"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.humimm.2024.111186"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.13844"},{"key":"e_1_2_9_27_1","unstructured":"Anthony Nolan \u201cAtlas \u201d(2025) https:\/\/github.com\/Anthony\u2010Nolan\/Atlas."},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa1311707"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.15610"},{"key":"e_1_2_9_30_1","volume-title":"WMDA Global Trends Report","author":"WMDA","year":"2023"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41409\u2010025\u201002704\u20100"},{"key":"e_1_2_9_32_1","unstructured":"United Nations \u201cWorld Population Prospects 2024: Summary of Results \u201d(2024) UN DESA\/POP\/2024\/TR\/NO. 9."},{"key":"e_1_2_9_33_1","unstructured":"United Nations Department of Economic and Social Affairs Population Division \u201cInternational Migration and Sustainable Development \u201d(2024) UN DESA\/POP\/2023\/TR\/NO. 7."},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352\u20103026(14)70021\u20103"},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2025.1528177"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/iji.12471"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature15393"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature18964"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1744\u2010313X.2005.00525.x"},{"key":"e_1_2_9_40_1","unstructured":"H.Maldonado Torres \u201cGenetic Diversity in the United Kingdom Population\u2014Population Genetics Tools and Methods \u201d(2012)."},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.molbev.a040269"},{"key":"e_1_2_9_42_1","doi-asserted-by":"publisher","DOI":"10.1111\/tan.12784"},{"key":"e_1_2_9_43_1","doi-asserted-by":"crossref","unstructured":"J. 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