Identification of potential HIV restriction factors by combining evolutionary genomic signatures with functional analyses
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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. ...
PURPOSE OF REVIEW: Rapid expansion of genomic technologies has resulted in an unprecedented ability to interrogate the impact of human genetic variation on disease. HIV-1 infection is a unique model for studying this impact because host genetic variation i ...
The impact of host genetic variation on determining the differential outcomes after HIV infection has been studied by two approaches: targeting of candidate genes and genome-wide association studies (GWASs). The overlap in genetic variants that has been id ...
We present a descriptive analysis of Twitter data. Our study focuses on extracting the main side effects associated with HIV treatments. The crux of our work was the identification of personal tweets referring to HIV. We summarize our results in an infogra ...
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