Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
The Contribution of Viral Genotype to Plasma Viral Set-Point in HIV Infection
PLoS Pathogens, Volume 10, No. 5, Article e1004112, Year 2014
Notification
URL copied to clipboard!
Description
Disease progression in HIV-infected individuals varies greatly, and while the environmental and host factors influencing this variation have been widely investigated, the viral contribution to variation in set-point viral load, a predictor of disease progression, is less clear. Previous studies, using transmission-pairs and analysis of phylogenetic signal in small numbers of individuals, have produced a wide range of viral genetic effect estimates. Here we present a novel application of a population-scale method based in quantitative genetics to estimate the viral genetic effect on set-point viral load in the UK subtype B HIV-1 epidemic, based on a very large data set. Analyzing the initial viral load and associated pol sequence, both taken before anti-retroviral therapy, of 8,483 patients, we estimate the proportion of variance in viral load explained by viral genetic effects to be 5.7% (CI 2.8-8.6%). We also estimated the change in viral load over time due to selection on the virus and environmental effects to be a decline of 0.05 log10 copies/mL/year, in contrast to recent studies which suggested a reported small increase in viral load over the last 20 years might be due to evolutionary changes in the virus. Our results suggest that in the UK epidemic, subtype B has a small but significant viral genetic effect on viral load. By allowing the analysis of large sample sizes, we expect our approach to be applicable to the estimation of the genetic contribution to traits in many organisms. © 2014 Hodcroft et al.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s001.tif
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s002.tif
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s003.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s004.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s005.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s006.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC4006911/bin/ppat.1004112.s007.pdf
Authors & Co-Authors
Hodcroft, Emma B.
United Kingdom, Edinburgh
The University of Edinburgh
Fearnhill, Esther
United Kingdom, London
Mrc Clinical Trials Unit
Phillips, Andrew N.
United Kingdom, London
The Royal Free Hospital
Dunn, David T.
United Kingdom, London
Mrc Clinical Trials Unit
O'Shea, Siobhan
United Kingdom, London
King's College London
Morris, Lynn G.
United Kingdom, London
University College London
Leigh Brown, Andrew J.
United Kingdom, Edinburgh
The University of Edinburgh
Pozniak, Anton Louis
United Kingdom, London
Chelsea and Westminster Hospital
Cane, Patricia A.
United Kingdom, London
Public Health England
Kellam, P.
United Kingdom, Hinxton
Wellcome Sanger Institute
Templeton, Kate E.
United Kingdom, Edinburgh
Royal Infirmary of Edinburgh
Statistics
Citations: 48
Authors: 11
Affiliations: 39
Identifiers
Doi:
10.1371/journal.ppat.1004112
ISSN:
15537366
Research Areas
Genetics And Genomics
Infectious Diseases
Study Design
Cross Sectional Study
Study Approach
Quantitative