Literature DB >> 25119688

On stand by: host genetics of HIV control.

Mary Carrington1, Arman A Bashirova, Paul J McLaren.   

Abstract

The impact of host genetic variation on determining the differential outcomes after HIV infection has been studied by two approaches: targeting of candidate genes and genome-wide association studies (GWASs). The overlap in genetic variants that has been identified by these two means has essentially been restricted to variants near to the human leukocyte antigen (HLA) class I genes, although variation in the CCR5 locus, which was first shown to have an effect on HIV outcomes using the candidate gene approach, does reach significance genome-wide when very large samples sizes (i.e. thousands) are used in GWAS. Overall, many of the variants identified by the candidate gene approach are likely to be spurious, as no additional variants apart from a novel variant near the HLA-C gene have been consistently identified by GWAS. Variants with low frequency and/or low impact on HIV outcomes are likely to exist in the genome and there could be many of them, but these are not identifiable, given current GWAS sample sizes. Several loci centrally involved in the immune response, including the immunoglobulin genes, T-cell receptor loci, or leukocyte receptor complex, are either poorly covered on the GWAS chips or difficult to interpret due to their repetitive nature and/or the presence of insertion/deletion polymorphisms in the region. These loci warrant further interrogation, but genetic characterization of these regions across a range of individuals will first be required. Finally, synergistic interactions between loci may affect outcome after infection, as suggested by associations of specific, functionally relevant HLA and killer cell immunoglobulin-like receptor variants with HIV disease outcomes, and these require further consideration as well.

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Year:  2013        PMID: 25119688     DOI: 10.1097/01.aids.0000432536.85335.c8

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  8 in total

1.  Genome-wide scan in two groups of HIV-infected patients treated with dendritic cell-based immunotherapy.

Authors:  Ronald Moura Rodrigues; Monserrat Plana; Felipe Garcia; Luisa Zupin; Louise Kuhn; Sergio Crovella
Journal:  Immunol Res       Date:  2016-12       Impact factor: 2.829

2.  HLA class I and KIR genes do not protect against HIV type 1 infection in highly exposed uninfected individuals with hemophilia A.

Authors:  Nicolas Vince; Arman A Bashirova; Alexandra Lied; Xiaojiang Gao; Lucy Dorrell; Paul J McLaren; Jacques Fellay; Mary Carrington
Journal:  J Infect Dis       Date:  2014-04-08       Impact factor: 5.226

3.  DEFB1 polymorphisms and HIV-1 mother-to-child transmission in Zambian population.

Authors:  Luisa Zupin; Vania Polesello; Ludovica Segat; Anselmo Jiro Kamada; Louise Kuhn; Sergio Crovella
Journal:  J Matern Fetal Neonatal Med       Date:  2018-03-20

Review 4.  The impact of host genetic variation on infection with HIV-1.

Authors:  Paul J McLaren; Mary Carrington
Journal:  Nat Immunol       Date:  2015-06       Impact factor: 25.606

5.  Impact of the Polymorphism rs9264942 near the HLA-C Gene on HIV-1 DNA Reservoirs in Asymptomatic Chronically Infected Patients Initiating Antiviral Therapy.

Authors:  Laura Herráiz-Nicuesa; Diana Carolina Hernández-Flórez; Lara Valor; Sonia García-Consuegra; Juan Paulo Navarro-Valdivieso; Eduardo Fernández-Cruz; Carmen Rodríguez-Sainz
Journal:  J Immunol Res       Date:  2017-12-28       Impact factor: 4.818

Review 6.  Variation in the Untranslated Genome and Susceptibility to Infections.

Authors:  Veron Ramsuran; Rodger Ewy; Hoang Nguyen; Smita Kulkarni
Journal:  Front Immunol       Date:  2018-09-07       Impact factor: 7.561

7.  HLA-C Alleles and Cytomegalovirus Retinitis in Brazilian Patients with AIDS.

Authors:  Tânia Gisela Biberg-Salum; Maria de Lourdes Veronese Rodrigues; Ana Paula Morais Fernandes; Neifi Hassan Salum Deghaide; Jayter Silva de Paula; Erick C Castelli; Celso Teixeira Mendes-Junior; Eduardo Antonio Donadi
Journal:  J Ophthalmol       Date:  2018-09-02       Impact factor: 1.909

8.  A High-Throughput HIV-1 Drug Screening Platform, Based on Lentiviral Vectors and Compatible with Biosafety Level-1.

Authors:  Bernhard Ellinger; Daniel Pohlmann; Jannis Woens; Felix M Jäkel; Jeanette Reinshagen; Carol Stocking; Vladimir S Prassolov; Boris Fehse; Kristoffer Riecken
Journal:  Viruses       Date:  2020-05-25       Impact factor: 5.048

  8 in total

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