Literature DB >> 28084001

No Evidence for Association of β-Defensin Genomic Copy Number with HIV Susceptibility, HIV Load during Clinical Latency, or Progression to AIDS.

Razan Abujaber1, Patrick R Shea2, Paul J McLaren3,4, Shabir Lakhi5,6, Jill Gilmour5,7, Susan Allen5,8, Jacques Fellay9, Edward J Hollox1.   

Abstract

Common single-nucleotide variation in the host accounts for 25% of the variability in the plasma levels of HIV during the clinical latency stage (viral load set point). However, the role of rare variants and copy number variants remains relatively unexplored. Previous work has suggested copy number variation of a cluster of β-defensin genes affects HIV load in treatment-naïve sub-Saharan Africans and rate of response to antiretroviral treatment. Here we analyse a total of 1827 individuals from two cohorts of HIV-infected individuals from Europe and sub-Saharan Africa to investigate the role of β-defensin copy number variation on HIV load at set point. We find no evidence for association of copy number with viral load. We also compare distribution of β-defensin copy number between European cases and controls and find no differences, arguing against a role of β-defensin copy number in HIV acquisition. Taken together, our data argue against an effect of copy number variation of the β-defensin region in the spontaneous control of HIV infection.
© 2017 John Wiley & Sons Ltd/University College London.

Entities:  

Keywords:  AIDSzzm321990; CNV; HIV-1; copy number variation; β-defensin

Mesh:

Substances:

Year:  2017        PMID: 28084001     DOI: 10.1111/ahg.12182

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  3 in total

Review 1.  Human Genetic Variation and HIV/AIDS in Papua New Guinea: Time to Connect the Dots.

Authors:  Rajeev K Mehlotra
Journal:  Curr HIV/AIDS Rep       Date:  2018-12       Impact factor: 5.071

Review 2.  The Dichotomous Responses Driven by β-Defensins.

Authors:  Jennifer R Shelley; Donald J Davidson; Julia R Dorin
Journal:  Front Immunol       Date:  2020-06-12       Impact factor: 7.561

3.  Cohort Profile: IAVI's HIV epidemiology and early infection cohort studies in Africa to support vaccine discovery.

Authors:  Matt A Price; William Kilembe; Eugene Ruzagira; Etienne Karita; Mubiana Inambao; Eduard J Sanders; Omu Anzala; Susan Allen; Vinodh A Edward; Pontiano Kaleebu; Patricia E Fast; Wasima Rida; Anatoli Kamali; Eric Hunter; Jianming Tang; Shabir Lakhi; Gaudensia Mutua; Linda Gail Bekker; Ggayi Abu-Baker; Amanda Tichacek; Paramesh Chetty; Mary H Latka; Pholo Maenetje; Heeran Makkan; Jonathan Hare; Freddie Kibengo; Fran Priddy; Elise Landais; Kundai Chinyenze; Jill Gilmour
Journal:  Int J Epidemiol       Date:  2021-03-03       Impact factor: 7.196

  3 in total

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