Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

J. McLaren, Paul; Coulonges, Cédric; Bartha, István; L. Lenz, Tobias; J. Deutsch, Aaron; Bashirova, Arman; Buchbinder, Susan; Carrington, Mary; Cossarizza, Andrea; Dalmau, Judith; De Luca, Andrea; J. Goedert, James; Gurdasani, Deepti; W. Haas, David; T. Herbeck, Joshua; O. Johnson, Eric; D. Kirk, Gregory; Lambotte, Olivier; Luo, Ma; Mallal, S.; van Manen, Daniëlle; Martínez‐Picado, Javier; Meyer, Laurence; M. Miró, José; I. Mullins, James; Obel, Niels; Poli, Guido; S. Sandhu, Manjinder; Schuitemaker, Hanneke; R. Shea, Patrick; Théodorou, Ioannis; D. Walker, Bruce; Weintrob, Amy; A. Winkler, Cheryl; M. Wolinsky, Steven; Raychaudhuri, Soumya; B. Goldstein, David; Telenti, Amalio; I. W. de Bakker, Paul; Zagury, Jean-François; Fellay, Jacques

doi:10.1073/pnas.1514867112

Public

Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

Published in Proceedings of the National Academy of Sciences • Nov 9, 2015

Authors:

Paul J. McLaren

Cédric Coulonges

István Bartha

Abstract

Previous genome-wide association studies (GWAS) of HIV-1-infected populations have been underpowered to detect common variants with moderate impact on disease outcome and have not assessed the phenotypic variance explained by genome-wide additive effects. By combining the majority of available genom...

Subject

Biology

Genome-wide association study

Genetics

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