Immuno-epidemiological Modeling of HIV-1 Predicts High Heritability of the Set-Point Virus Load, while Selection for CTL Escape Dominates Virulence Evolution

PLoS Computational Biology

Volumn 10, Issue 12, 2014, Pages

  van Dorp, Christiaan H ^a,b   van Boven, Michiel ^b   de Boer, Rob J ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; IMMUNE SYSTEM;

EPIDEMIOLOGICAL MODELING; EPIDEMIOLOGICAL STUDIES; HERITABILITY ESTIMATES; HUMAN POPULATION; IMMUNE RESPONSE; IMMUNE SELECTION; SETPOINTS;

VIRUSES;

ARTICLE; CLADISTICS; CONTROLLED STUDY; CYTOTOXIC T LYMPHOCYTE; HERITABILITY; HUMAN IMMUNODEFICIENCY VIRUS 1; IMMUNE RESPONSE; MATHEMATICAL MODEL; MUTATION RATE; PREDICTION; VIRUS IMMUNITY; VIRUS LOAD; VIRUS TRANSMISSION; VIRUS VIRULENCE; BIOLOGICAL MODEL; BIOLOGY; GENETICS; HIV INFECTIONS; HUMAN; IMMUNE EVASION; IMMUNOLOGY; MOLECULAR EVOLUTION; PHYSIOLOGY; VIROLOGY;

HUMAN IMMUNODEFICIENCY VIRUS 1;

COMPUTATIONAL BIOLOGY; EVOLUTION, MOLECULAR; HIV INFECTIONS; HIV-1; HUMANS; IMMUNE EVASION; MODELS, IMMUNOLOGICAL; T-LYMPHOCYTES, CYTOTOXIC; VIRAL LOAD;

EID: 84919625666     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003899     Document Type: Article

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