eLife (Oct 2013)

A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control

  • István Bartha,
  • Jonathan M Carlson,
  • Chanson J Brumme,
  • Paul J McLaren,
  • Zabrina L Brumme,
  • Mina John,
  • David W Haas,
  • Javier Martinez-Picado,
  • Judith Dalmau,
  • Cecilio López-Galíndez,
  • Concepción Casado,
  • Andri Rauch,
  • Huldrych F Günthard,
  • Enos Bernasconi,
  • Pietro Vernazza,
  • Thomas Klimkait,
  • Sabine Yerly,
  • Stephen J O’Brien,
  • Jennifer Listgarten,
  • Nico Pfeifer,
  • Christoph Lippert,
  • Nicolo Fusi,
  • Zoltán Kutalik,
  • Todd M Allen,
  • Viktor Müller,
  • P Richard Harrigan,
  • David Heckerman,
  • Amalio Telenti,
  • Jacques Fellay,
  • for the HIV Genome-to-Genome Study and the Swiss HIV Cohort Study

DOI
https://doi.org/10.7554/eLife.01123
Journal volume & issue
Vol. 2

Abstract

Read online

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.

Keywords