Logo image
A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control
Journal article   Peer reviewed

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

I. Bartha, J.M. Carlson, C.J. Brumme, P.J. McLaren, Z.L. Brumme, M. John, D.W. Haas, J. Martinez-Picado, J. Dalmau, C. Lopez-Galindez, …
eLife, Vol.2(0), pp.e01123-e01123
2013
url
Free to Read *No subscription requiredView

Abstract

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.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.66 HIV
1.66.46 HIV Pathogenesis
Web Of Science research areas
Biology
ESI research areas
Biology & Biochemistry
Logo image