Publication Date:
2007-03-17
Description:
Escape from T cell-mediated immune responses affects the ongoing evolution of rapidly evolving viruses such as HIV. By applying statistical approaches that account for phylogenetic relationships among viral sequences, we show that viral lineage effects rather than immune escape often explain apparent human leukocyte antigen (HLA)-mediated immune-escape mutations defined by older analysis methods. Phylogenetically informed methods identified immune-susceptible locations with greatly improved accuracy, and the associations we identified with these methods were experimentally validated. This approach has practical implications for understanding the impact of host immunity on pathogen evolution and for defining relevant variants for inclusion in vaccine antigens.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bhattacharya, Tanmoy -- Daniels, Marcus -- Heckerman, David -- Foley, Brian -- Frahm, Nicole -- Kadie, Carl -- Carlson, Jonathan -- Yusim, Karina -- McMahon, Ben -- Gaschen, Brian -- Mallal, Simon -- Mullins, James I -- Nickle, David C -- Herbeck, Joshua -- Rousseau, Christine -- Learn, Gerald H -- Miura, Toshiyuki -- Brander, Christian -- Walker, Bruce -- Korber, Bette -- AI27757/AI/NIAID NIH HHS/ -- AI57005/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2007 Mar 16;315(5818):1583-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Los Alamos National Laboratory, Los Alamos, NM 87545, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17363674" target="_blank"〉PubMed〈/a〉
Keywords:
Alleles
;
Antigen Presentation
;
Epitopes
;
Evolution, Molecular
;
*Founder Effect
;
Genes, MHC Class I
;
Genes, Viral
;
HIV Infections/immunology/*virology
;
HIV-1/classification/*genetics/*immunology
;
HLA Antigens/*genetics/immunology
;
HLA-C Antigens/genetics
;
Humans
;
Immune Tolerance
;
Likelihood Functions
;
Mutation
;
Phenotype
;
Phylogeny
;
*Polymorphism, Genetic
;
T-Lymphocytes, Cytotoxic/immunology
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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