2021
DOI: 10.1101/2021.10.31.466670
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Host variation in type I interferon signaling genes (MX1),CCR5Δ32, and MHC class I alleles in treated HIV+ non-controllers predict viral reservoir size

Abstract: BackgroundPrior host genomewide association studies have failed to observe an association with the HIV reservoir.MethodsCustom whole exome sequencing and direct HLA typing were performed from 202 HIV+ ART-suppressed individuals and associated with 4 measures of the circulating CD4+ T cell reservoir: total DNA, unspliced (us)RNA, RNA/DNA, and intact DNA. Common variant, gene-based, and HLA analyses were performed using linear mixed models adjusted for sex, timing of ART initiation, nadir CD4 count, input cell c… Show more

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Cited by 3 publications
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“…Prior host genome wide association studies (GWAS) have focused on predictors of viral control (during untreated HIV disease), identifying key mutations in the C-C chemokine receptor type 5 gene (CCR5Δ32) and the human Major Histocompatibility Complex (MHC) human leukocyte antigen (HLA)-B and -C regions, that influence viral setpoint [21][22][23][24]. Recently our group reported these mutations (CCR5Δ32 and HLA -B*57:01) are associated with smaller HIV reservoir size [25]. However, mRNA expression from DNA variation is complex and not strictly 1:1 DNA to RNA transcription; gene expression is influenced by various factors (alternative splicing, polyadenylation, regulatory enhancers, epigenetic changes, etc.)…”
Section: Introductionmentioning
confidence: 99%
“…Prior host genome wide association studies (GWAS) have focused on predictors of viral control (during untreated HIV disease), identifying key mutations in the C-C chemokine receptor type 5 gene (CCR5Δ32) and the human Major Histocompatibility Complex (MHC) human leukocyte antigen (HLA)-B and -C regions, that influence viral setpoint [21][22][23][24]. Recently our group reported these mutations (CCR5Δ32 and HLA -B*57:01) are associated with smaller HIV reservoir size [25]. However, mRNA expression from DNA variation is complex and not strictly 1:1 DNA to RNA transcription; gene expression is influenced by various factors (alternative splicing, polyadenylation, regulatory enhancers, epigenetic changes, etc.)…”
Section: Introductionmentioning
confidence: 99%