Literature DB >> 27240860

Killer cell immunoglobulin-like receptor and human leukocyte antigen gene profiles in a cohort of HIV-infected Mexican Mestizos.

Daniela Garrido-Rodríguez1, Santiago Ávila-Ríos1, Claudia García-Morales1, Humberto Valenzuela-Ponce1, Christopher Ormsby1, Helena Reyes-Gopar1, Juan Carlos Fernandez-Lopez2, Gustavo Reyes-Terán3.   

Abstract

Killer cell immunoglobulin-like receptors (KIRs) represent the most polymorphic genes responsible for natural killer cell function, while human leukocyte antigen (HLA) class I molecules define and restrict cytotoxic T lymphocyte responses. Specific KIR, HLA, or KIR-HLA combinations have been implicated in the outcome of human immunodeficiency virus (HIV) disease. The remarkable polymorphism of KIR and HLA genes warrants descriptive gene frequency studies in different populations, as well as their impact on HIV disease progression in different immunogenetic contexts. We report KIR and HLA class I gene profiles of 511 unrelated HIV-infected Mexican Mestizo individuals from 18 states for whom genetic ancestry proportions were assessed. KIR and HLA gene profiles were compared between individuals from the north and central-south regions of the country and between individuals with higher European (EUR) or Amerindian (AMI) genetic ancestry component. A total of 65 KIR genotypes were observed, 11 harboring novel KIR gene combinations. A total of 164 HLA alleles were observed: 43 HLA-A, 87 HLA-B, and 34 HLA-C. Differences in the distribution of 12 HLA alleles were observed between individuals with higher AMI or EUR ancestry components (p < 0.05, q < 0.2). After correcting for genetic ancestry, only individual HLA alleles were associated with HIV disease progression, including a novel association with A*02:06, an Amerindian HLA allele associated with lower CD4+ T cell counts. No KIR effects were significant. Our results highlight the advantages of considering a detailed genetic stratification within populations when studying genetic profiles that could be implicated in disease-association studies.

Entities:  

Keywords:  Ancestry genetic proportions; HLA; Human immunodeficiency virus; Immunogenetics; KIR; Mexican Mestizo

Mesh:

Substances:

Year:  2016        PMID: 27240860     DOI: 10.1007/s00251-016-0920-3

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  54 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

3.  Functional polymorphism of the KIR3DL1/S1 receptor on human NK cells.

Authors:  Geraldine M O'Connor; Kieran J Guinan; Rodat T Cunningham; Derek Middleton; Peter Parham; Clair M Gardiner
Journal:  J Immunol       Date:  2007-01-01       Impact factor: 5.422

Review 4.  Structure/function of human killer cell immunoglobulin-like receptors: lessons from polymorphisms, evolution, crystal structures and mutations.

Authors:  Kerry S Campbell; Amanda K Purdy
Journal:  Immunology       Date:  2011-01-07       Impact factor: 7.397

5.  HLA-Cw group 1 ligands for KIR increase susceptibility to invasive cervical cancer.

Authors:  Maureen P Martin; Ingrid B Borecki; Zhengyan Zhang; Loan Nguyen; Duanduan Ma; Xiaojiang Gao; Ying Qi; Mary Carrington; Janet S Rader
Journal:  Immunogenetics       Date:  2010-09-21       Impact factor: 2.846

6.  Human diversity in killer cell inhibitory receptor genes.

Authors:  M Uhrberg; N M Valiante; B P Shum; H G Shilling; K Lienert-Weidenbach; B Corliss; D Tyan; L L Lanier; P Parham
Journal:  Immunity       Date:  1997-12       Impact factor: 31.745

7.  Differential binding to HLA-C of p50-activating and p58-inhibitory natural killer cell receptors.

Authors:  M Valés-Gómez; H T Reyburn; R A Erskine; J Strominger
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-24       Impact factor: 11.205

8.  Allele frequency net: a database and online repository for immune gene frequencies in worldwide populations.

Authors:  Faviel F Gonzalez-Galarza; Stephen Christmas; Derek Middleton; Andrew R Jones
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

9.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

Review 10.  Synergy or independence? Deciphering the interaction of HLA Class I and NK cell KIR alleles in early HIV-1 disease progression.

Authors:  Jason D Barbour; Uma Sriram; Stacy J Caillier; Jay A Levy; Frederick M Hecht; Jorge R Oksenberg
Journal:  PLoS Pathog       Date:  2007-04       Impact factor: 6.823

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  3 in total

Review 1.  Deciphering the killer-cell immunoglobulin-like receptor system at super-resolution for natural killer and T-cell biology.

Authors:  Vivien Béziat; Hugo G Hilton; Paul J Norman; James A Traherne
Journal:  Immunology       Date:  2016-12-14       Impact factor: 7.397

2.  Novel HLA class I associations with HIV-1 control in a unique genetically admixed population.

Authors:  Humberto Valenzuela-Ponce; Selma Alva-Hernández; Daniela Garrido-Rodríguez; Maribel Soto-Nava; Thalía García-Téllez; Tania Escamilla-Gómez; Claudia García-Morales; Verónica Sonia Quiroz-Morales; Daniela Tapia-Trejo; Silvia Del Arenal-Sánchez; Francisco-Javier Prado-Galbarro; Ramón Hernández-Juan; Edna Rodríguez-Aguirre; Akio Murakami-Ogasawara; Carlos Mejía-Villatoro; Ingrid Y Escobar-Urias; Rodolfo Pinzón-Meza; Juan Miguel Pascale; Yamitzel Zaldivar; Guillermo Porras-Cortés; Carlos Quant-Durán; Ivette Lorenzana; Rita I Meza; Elsa Y Palou; Marvin Manzanero; Rolando A Cedillos; Carmen Aláez; Mark A Brockman; P Richard Harrigan; Chanson J Brumme; Zabrina L Brumme; Santiago Ávila-Ríos; Gustavo Reyes-Terán
Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

3.  A web visualization tool using T cell subsets as the predictor to evaluate COVID-19 patient's severity.

Authors:  Qibin Liu; Xuemin Fang; Shinichi Tokuno; Ungil Chung; Xianxiang Chen; Xiyong Dai; Xiaoyu Liu; Feng Xu; Bing Wang; Peng Peng
Journal:  PLoS One       Date:  2020-09-24       Impact factor: 3.240

  3 in total

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