Frequency and parameters of linkage disequilibrium of the two-locus <i>HLA-B~MICA</i> haplotypes in russians from chelyabinsk region

Author:

Vavilov Mikhail N.,Suslova Tatiana A.,Burmistrova Aleksandra L.

Abstract

MICA gene is located in the MHC region on chromosome 6p21.33, mapped ca. 46.4 kb centromeric to the HLA-B gene, being in strict linkage disequilibrium with MHC class I region. The sufficient polymorphism of human MICA gene and its location at the HLA region makes it a likely candidate locus for additional histocompatibility testing. The data on distribution of two-locus HLA-B~MICA haplotypes enable us to obtain information about the level of mismatches in the MICA locus when selecting suitable donor-recipient pair by convential HLA loci for unrelated hematopoietic stem cell transplantation. We have performed immunogenetic typing of 100 donors of Russian Nationality from the Register of Stem Cell Donors at Chelyabinsk Regional Blood Bank. MICA genotyping was carried out by PCR tests with sequence-specific primers at basic resolution. Typing of the classical HLA-B locus was carried out by the NGS method using MiSeq instrument using a MiSeq v2 reagent kit (Illumina). Linkage disequilibrium indices D, D`, p, and the frequency of two-locus HLA-B~MICA haplotypes were calculated using Arlequin 3.5 software. As a result of this study, the main parameters of linkage disequilibrium and the frequency of two-locus HLA-B~MICA haplotypes were established for Russians from the Chelyabinsk region. HLA-B allelic groups have been identified that form stable pairs with specific MICA allelic variants (HLA-B*B*07, B*08, B*13, B*14, B* 27, B*37, B*38, B*47, B *48, B*49, B*50, B*52, B*55, B*56, B*57). Moreover, we have revealed HLA-B allelic groups forming highly variable HLA-B~MICA haplotypes (HLA-B*15, B*18, B*35, B*39, B*40, B*41, B*44 and B*51) with increased risk of mismatch for MICA genes. These results could be used in clinical practice in order to assess probability of the donor/recipient mismatch for non-classic MICA locus when selecting potential stem cell donors for hematological patients by HLA testing of classical loci. Moreover, these data could be demanded in population genetics.

Publisher

Russian Society of Immunology

Subject

Immunology,General Medicine

Reference13 articles.

1. Anderson E., Grzywacz B., Wang H., Wang T., Haagenson M., Spellman S., Blazar B.R., Miller J.S., Verneris M.R. Limited role of MHC class I chain-related gene a (MICA) typing in assessing graft-versus-host disease risk after fully human leukocyte antigen-matched unrelated donor transplantation. Blood, 2009, Vol. 114, no. 21, pp. 4753-4754.

2. Arlequin: An Integrated Software for Population Genetics Data Analysis [cmpg.unibe.ch]. Arlequin ver 3.5.2.2 [released on 02.08.2015; date of access May 2022]. Available at: http://cmpg.unibe.ch/software/arlequin35/.

3. Carapito R., Jung N., Kwemou M., Untrau M., Michel S., Pichot A., Giacometti G., Macquin C., Ilias W., Morlon A., Kotova I., Apostolova P., Schmitt-Graeff A., Cesbron A., Gagne K., Oudshoorn M., Holt B., Labalette M., Spierings E., Picard C., Loiseau P., Tamouza R., Toubert A., Parissiadis A., Dubois V., Lafarge X., Maumy-Bertrand M., Bertrand F., Vago L., Ciceri F., Paillard C., Querol S., Sierra J., Fleischhauer K., Nagler A., Labopin M., Inoko H., Borne P., Kuball J., Ota M., Katsuyama Y., Michallet M., Lioure B., Latour R.P., Blaise D., Cornelissen J.J., Yakoub-Agha I., Claas F., Moreau P., Milpied N., Charron D., Mohty M., Zeiser R., Socié G., Bahram S. Matching for the nonconventional MHC-I MICA gene significantly reduces the incidence of acute and chronic GVHD. Blood, 2016, Vol. 128, no. 15, pp. 1979-1986.

4. Chen D., Gyllensten U. MICA polymorphism: biology and importance in cancer. Carcinogenesis, 2014, Vol. 35, no. 12, pp. 2633-2642.

5. Collins R.W.M. Human MHC class I chain related (MIC) genes: Their biological function and relevance to disease and transplantation. Eur. J. Immunogenet., 2004, Vol. 31, no. 3, pp. 105-114.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3