Publication
A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control
Journal Paper/Review - Oct 29, 2013
Bartha István, Yerly Sabine, O'Brien Stephen J, Listgarten Jennifer, Pfeifer Nico, Lippert Christoph, Fusi Nicolo, Kutalik Zoltán, Allen Todd M, Müller Viktor, Harrigan P Richard, Heckerman David, Telenti Amalio, Klimkait Thomas, Vernazza Pietro, Bernasconi Enos, Carlson Jonathan M, Brumme Chanson J, McLaren Paul J, Brumme Zabrina L, John Mina, Haas David W, Martinez-Picado Javier, Dalmau Judith, López-Galíndez Cecilio, Casado Concepción, Rauch Andri, Günthard Huldrych F, Fellay Jacques
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PubMed
Doi
Citation
Type
Journal
Publication Date
Issn Electronic
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Brief description/objective
HIV-1 sequence diversity is affected by selection pressures arising from host genomic factors. Using paired human and viral data from 1071 individuals, we ran >3000 genome-wide scans, testing for associations between host DNA polymorphisms, HIV-1 sequence variation and plasma viral load (VL), while considering human and viral population structure. We observed significant human SNP associations to a total of 48 HIV-1 amino acid variants (p<2.4 × 10(-12)). All associated SNPs mapped to the HLA class I region. Clinical relevance of host and pathogen variation was assessed using VL results. We identified two critical advantages to the use of viral variation for identifying host factors: (1) association signals are much stronger for HIV-1 sequence variants than VL, reflecting the 'intermediate phenotype' nature of viral variation; (2) association testing can be run without any clinical data. The proposed genome-to-genome approach highlights sites of genomic conflict and is a strategy generally applicable to studies of host-pathogen interaction. DOI:http://dx.doi.org/10.7554/eLife.01123.001.