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The genetic architecture of HIV-1 virulence

Abstract:
The virulence of Human Immunodeficiency Virus-1 (HIV-1) is partly determined by viral genetic variation. Finding individual genetic variants affecting virulence is important for our understanding of HIV pathogenesis and evolution of virulence; however, very few have been identified. To this end, within the “Bridging the Evolution and Epidemiology of HIV in Europe” (BEEHIVE) collaboration, we produced whole-genome HIV sequence data for 2294 seroconverters from European countries for a genome-wide association study (GWAS). We considered two phenotypes: (i) set-point viral load (SPVL), the approximately stable viral load from 6 to 24 months after infection, and (ii) the rate of CD4 cell count decline. We developed a GWAS method that corrects for population structure with random effects, accounts for two or more alleles at each locus, and tests for the effect of multiple genetic variants including single-nucleotide polymorphisms (SNPs), k-mers, insertions and deletions, within-host variant frequency, the number of rare point mutations, and drug resistance. We confirmed with this new approach that viral genomes explained 26% [95% CI 17%–35%] of the variance in SPVL, while they explained only 0.9% [0.0%–2.1%] of the variance in the rate of CD4 cell count decline. After correction for multiple testing, among all tested variants, only two significantly explained SPVL: an epitope mutation allowing escape from the host HLA-B*57 allele and lowering SPVL by −0.26 copies/ml and an epitope mutation allowing escape from the host HLA-B*35 allele and increasing SPVL by +0.22 copies/ml. We attempted to replicate these two large effects in two additional independent datasets together encompassing 2445 seroconverters, with mixed results. Overall, the inferred effects of all SNPs and amino-acid variants weakly correlated (R2 ranging from 0.08 to 0.87%, P-values from 0.001 to 0.32) between our main dataset and these two additional datasets. Lastly, a lasso regression of phenotypes on genetic variants confirmed the heritability of SPVL and explained up to 6% of variance in SPVL in cross-validation datasets. These findings suggest that HIV SPVL is determined by viral genomes through HLA escape variants with potentially large, host-dependent effects that may not always be detected at the population level and many other variants with effects too weak to reach genome-wide significance in our GWAS.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/ve/veaf057

Authors


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Role:
Author
ORCID:
0000-0003-0591-2466
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Institution:
University of Oxford
Department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-9847-8226
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Institution:
University of Oxford
Department:
Big Data Institute
Role:
Author
ORCID:
0000-0002-2671-3864
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Institution:
University of Oxford
Oxford college:
St Edmund Hall
Role:
Author
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Role:
Author
ORCID:
0000-0003-2765-9828


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Funder identifier:
https://ror.org/00yjd3n13


Publisher:
Oxford University Press
Journal:
Virus Evolution More from this journal
Volume:
11
Issue:
1
Article number:
veaf057
Publication date:
2025-12-05
Acceptance date:
2025-07-16
DOI:
EISSN:
2057-1577
ISSN:
2057-1577


Language:
English
Keywords:
UUID:
uuid_e63d8646-ee2a-46fb-8d4f-fe323851e847
Source identifiers:
3546823
Deposit date:
2025-12-08
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