Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control

被引：22

作者：

Bartha, Istvan ^{[1
,2
]}

McLaren, Paul J. ^{[3
,4
]}

Brumme, Chanson ^{[5
]}

Harrigan, Richard ^{[5
]}

Telenti, Amalio ^{[6
]}

Fellay, Jacques ^{[1
,2
]}

机构：

[1] Ecole Polytech Fed Lausanne, Sch Life Sci, Lausanne, Switzerland

[2] Swiss Inst Bioinformat, Host Pathogen Genom Grp, Lausanne, Switzerland

[3] Publ Hlth Agcy Canada, Natl HIV & Retrovirol Lab, Winnipeg, MB, Canada

[4] Univ Manitoba, Dept Med Microbiol & Infect Dis, Winnipeg, MB, Canada

[5] Univ British Columbia, BC Ctr Excellence HIV AIDS, Vancouver, BC, Canada

[6] J Craig Venter Inst, Genom Med Grp, La Jolla, CA USA

来源：

PLOS COMPUTATIONAL BIOLOGY | 2017年 / 13卷 / 02期

关键词：

SET-POINT; IMPACT; HOST;

D O I：

10.1371/journal.pcbi.1005339

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We evaluated the fraction of variation in HIV-1 set point viral load attributable to viral or human genetic factors by using joint host/pathogen genetic data from 541 HIV infected individuals. We show that viral genetic diversity explains 29% of the variation in viral load while host factors explain 8.4%. Using a joint model including both host and viral effects, we estimate a total of 30% heritability, indicating that most of the host effects are reflected in viral sequence variation.

引用

页数：7

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