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   <ref-type name="Journal Article">17</ref-type>
   <contributors>
    <authors>
     <author>Логинова, М.А.</author>
     <author>Парамонов, И.В.</author>
     <author>Павлов, В.Н.</author>
     <author>Сафуанова, Г.Ш.</author>
     <author></author>
     <author></author>
     <author></author>
     <author></author>
    </authors>
   </contributors>
   <titles>
    <title>ГЕНЕТИЧЕСКИЕ ОСОБЕННОСТИ ПОПУЛЯЦИИ, ПРОЖИВАЮЩЕЙ НА ТЕРРИТОРИИ РЕСПУБЛИКИ БАШКОРТОСТАН</title>
   </titles>
   <dates>
    <year>2016</year>
    <pub-dates>
     <date>2018-03-06</date>
    </pub-dates>
   </dates>
   <doi>10.15825/1995-1191-2016-1-58-66</doi>
   <journal>Вестник трансплантологии и искусственных органов</journal>
   <abstract>Sequence based typing was used to identify human leukocyte antigen (HLA)-A, -B, -C, -DRB1 alleles in 1,064&#13;
recruited volunteers in the Republic of Bashkortostan of the Russian Federation for unrelated hematopoietic&#13;
stem cell registry. During the carried out research two new alleles were identifi ed in the studied population;&#13;
one was registered in the WHO Nomenclature Committee for Factors of the HLA System, the other one was&#13;
submitted for registration. In this population 17 HLA-A, 29 – HLA-B, 13 – HLA-C, 13 – HLA-DRB1 groups of alleles were selected. Allele frequencies of more than 10% included HLA-A*02 (29.37%), 24 (12.92%), 01&#13;
(11.84%), 03 (11.61%), HLA-B*35 (11.51%), 07 (10.76%), HLA-C*07 (22.56%), 06 (15.51%), 04 (13.06%),&#13;
03 (10.43%), 12 (10.24%), HLA-DRB1*07 (17.25%), 15 (12.73%), 13 (11.98%), 01 (11.84%), 04 (11.61%).&#13;
711 HLA-A-B-C-DRB1 four-locus haplotypes were determined using the software Arlequin v.3.1. The most frequently&#13;
observed four-locus haplotypes were A*02-B*13-C*06-DRB1*07, A*03-B*35-C*07-DRB1*15, A*02-&#13;
B*07-C*07-DRB1*15 with frequencies of 2.89%, 2.18% and 1.93%, respectively. The distribution of alleles and&#13;
haplotype analysis allowed comparing the populations of the Republic of Bashkortostan with the other Russian&#13;
populations.</abstract>
   <urls>
    <web-urls>
     <url>https://repo.bashgmu.ru/publication/1187</url>
    </web-urls>
    <pdf-urls>
     <url>https://repo.bashgmu.ru/files/1351</url>
    </pdf-urls>
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