Evidence map›Paper›PMID 20588164›Full record

ArticleAIDS (London, England)2010

HLA-B alleles associate consistently with HIV heterosexual transmission, viral load, and progression to AIDS, but not susceptibility to infection.

Xiaojiang Gao, Thomas R O'Brien, Tania M Welzel, Darlene Marti, Ying Qi, James J Goedert, John Phair, Ruth Pfeiffer, Mary Carrington

Abstract readMulticenter Study
In one paragraph

Article in AIDS (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Antiretroviral therapy blocks natural selection on protective and disease-susceptible HLA-B alleles in HIV-1 infection.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Conserved HIV Epitopes for an Effective HIV Vaccine.Journal of clinical & cellular immunology · 2017
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  18. Low-level Viremia early in HIV infection.Journal of acquired immune deficiency syndromes (1999) · 2014
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Xiaojiang GaoCancer and Inflammation Program, Laboratory of Experimental Immunology, SAIC Frederick Inc., NCI-Frederick, Frederick, Maryland 21702, USA.
Thomas R O'Brien
Tania M Welzel
Darlene Marti
Ying Qi
James J Goedert
John Phair
Ruth Pfeiffer
Mary Carrington
National Cancer Institute · USMassachusetts Institute of Technology · USFrederick National Laboratory for Cancer Research · USNational Institutes of Health · USNorthwestern University · US

Funding

LICI Microbiome and Genetics CoreZICBC011237 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI OHUIGIN, COLM · 2009 to 2025
$28.3M
Effects of genetic polymorphism in MHC, KIR, and related loci on human diseaseZIABC010791 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CARRINGTON, MARY N. · 2009 to 2025
$18.2M
Microbes and Human MalignanciesZIACP010214 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI VOGTMANN, EMILY · 2010 to 2021
$5.5M
Effects of genetic polymorphism in the MHC, KIR, and related loci on human diseaZ01BC010791 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CARRINGTON, MARY N. · 2007 to 2008
$2.4M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z01 BC010791NCI NIH HHS HHSN261200800001ENCRR NIH HHS 5-M01-RR-00052NIAID NIH HHS UO1-AI-35039NIAID NIH HHS UO1-AI-35040NIAID NIH HHS UO1-AI-35041NIAID NIH HHS UO1-AI-35042NIAID NIH HHS UO1-AI-35043NIAID NIH HHS UO1-AI-37613NIAID NIH HHS UO1-AI-37984
6 · The paper itself

Abstract

objectiveHLA class I polymorphism is known to affect the rate of progression to AIDS after infection with HIV-1. Here we test the consistency of HLA-B allelic effects on progression to AIDS, heterosexual HIV transmission, and 'set point' viral levels.

methodsWe used adjusted Cox proportional hazard models in previously published relative hazard values for the effect of HLA-B alleles on progression to AIDS (n = 1089). The transmission study included 303 HIV-1-infected men with hemophilia and their 323 female sex partners (Multicenter Hemophilia Cohort Study cohort). Among 259 HIV-1 seroconverters (Multicenter AIDS Cohort Study cohort), HIV RNA levels at 'set point' were determined in stored plasma samples by a reverse-transcription polymerase chain reaction assay. HLA-B genotyping was performed by sequence-specific oligonucleotide hybridization and DNA sequencing.

resultsSeveral HLA-B alleles showed consistent associations for AIDS risk, infectivity, and 'set point' HIV RNA. HLA-B*35 was associated with more rapid progression to AIDS (relative hazard 1.39; P = 0.008), greater infectivity (odds ratio 3.14; P = 0.002), and higher HIV RNA (P = 0.01), whereas the presence of either B*27 or B*57 associated with slower progression to AIDS (B*27: relative hazard 0.49, P < 0.001; B*57: relative hazard 0.40, P < 0.0001), less infectivity (odds ratio 0.22 and 0.31, respectively, though not significant), and lower viral levels (P < 0.0001). Importantly, HLA-B polymorphism in female partners was not associated with susceptibility to HIV-1 infection.

conclusionHLA-B polymorphisms that affect the risk of AIDS may also alter HIV-1 infectivity, probably through the common mechanism of viral control, but they do not appear to protect against infection in our cohort.

Indexed as

AdolescentAdultCD4-Positive T-LymphocytesDisease ProgressionEuropeFemaleGenotypeHemophilia AHeterosexualityHIV-1HIV SeropositivityHLA-B AntigensHumansLymphocyte ActivationMaleProportional Hazards ModelsHLA-B Antigens

Identifiers

PMID20588164
PMCPMC2902625
OpenAlexW2025843191

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.