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

Units
PubMed
Doi

Citation
Bartha I, Yerly S, O'Brien S, Listgarten J, Pfeifer N, Lippert C, Fusi N, Kutalik Z, Allen T, Müller V, Harrigan P, Heckerman D, Telenti A, Klimkait T, Vernazza P, Bernasconi E, Carlson J, Brumme C, McLaren P, Brumme Z, John M, Haas D, Martinez-Picado J, Dalmau J, López-Galíndez C, Casado C, Rauch A, Günthard H, Fellay J. A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control. Elife 2013; 2:e01123.
Type
Journal Paper/Review (English)
Journal
Elife 2013; 2
Publication Date
Oct 29, 2013
Issn Electronic
2050-084X
Pages
e01123
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.