Global Database-Driven Assessment of HIV-1 Adaptation to the Immune Repertoires of Human Populations
Author(s) -
Aram Karakas,
Zabrina L. Brumme,
Art F. Y. Poon
Publication year - 2015
Publication title -
journal of virology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.617
H-Index - 292
eISSN - 1070-6321
pISSN - 0022-538X
DOI - 10.1128/jvi.01355-15
Subject(s) - biology , human immunodeficiency virus (hiv) , adaptation (eye) , immune system , computational biology , database , evolutionary biology , virology , genetics , neuroscience , computer science
Associations between HIV-1 cytotoxic T lymphocyte (CTL) escape mutations and their restricting human leukocyte antigen (HLA) alleles imply that HIV could adapt to divergent HLA repertoires of human populations globally. Using publicly available databases, we examine the relationship between the frequencies of 19 experimentally validated CTL escape mutations in HIV-1 reverse transcriptase and their restricting HLA alleles in 59 countries. From these extensive data, we find evidence of differential HIV adaptations to human populations at only a limited number of the studied epitope sites.
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