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Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, November 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
3 news outlets
twitter
34 X users
facebook
1 Facebook page

Readers on

mendeley
221 Mendeley
citeulike
5 CiteULike
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Article details
Title
Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load
Published in
Proceedings of the National Academy of Sciences of the United States of America, November 2015
DOI 10.1073/pnas.1514867112
Pubmed ID
Authors
Abstract

Previous genome-wide association studies (GWAS) of HIV-1-infected populations have been underpowered to detect common variants with moderate impact on disease outcome and have not assessed the phenotypic variance explained by genome-wide additive effects. By combining the majority of available genome-wide genotyping data in HIV-infected populations, we tested for association between ∼8 million variants and viral load (HIV RNA copies per milliliter of plasma) in 6,315 individuals of European ancestry. The strongest signal of association was observed in the HLA class I region that was fully explained by independent effects mapping to five variable amino acid positions in the peptide binding grooves of the HLA-B and HLA-A proteins. We observed a second genome-wide significant association signal in the chemokine (C-C motif) receptor (CCR) gene cluster on chromosome 3. Conditional analysis showed that this signal could not be fully attributed to the known protective CCR5Δ32 allele and the risk P1 haplotype, suggesting further causal variants in this region. Heritability analysis demonstrated that common human genetic variation-mostly in the HLA and CCR5 regions-explains 25% of the variability in viral load. This study suggests that analyses in non-European populations and of variant classes not assessed by GWAS should be priorities for the field going forward.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 2 <1%
United States 1 <1%
Sweden 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Unknown 215 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 38 17%
Student > Ph. D. Student 37 17%
Student > Master 24 11%
Student > Bachelor 22 10%
Student > Doctoral Student 13 6%
Other 34 15%
Unknown 53 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 22%
Agricultural and Biological Sciences 46 21%
Immunology and Microbiology 23 10%
Medicine and Dentistry 22 10%
Computer Science 5 2%
Other 16 7%
Unknown 61 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2025.
All research outputs
#1,324,187
of 34,601,305 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#18,462
of 119,282 outputs
Outputs of similar age
#14,922
of 324,127 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#300
of 889 outputs
Altmetric has tracked 34,601,305 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,127 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 889 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.