Improved accuracy of HIV-1 genotypic susceptibility interpretation using a consensus approach [2]

AIDS

Volumn 18, Issue 13, 2004, Pages 1858-1859

  Jenwitheesuk, Ekachai ^a   Wang, Kai ^a   Mittler, John E ^a   Samudrala, Ram ^a  

^a UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMPRENAVIR; INDINAVIR; LOPINAVIR; NELFINAVIR; PROTEINASE; PROTEINASE INHIBITOR; RITONAVIR; SAQUINAVIR;

ACCURACY; AMINO ACID SEQUENCE; CONSENSUS; DRUG SENSITIVITY; GENETIC SUSCEPTIBILITY; GENOTYPE; HUMAN IMMUNODEFICIENCY VIRUS 1; IC 50; LETTER; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; PROTEIN ISOLATION;

ANTI-RETROVIRAL AGENTS; GENOTYPE; HIV INFECTIONS; HIV-1; HUMANS; SENSITIVITY AND SPECIFICITY;

EID: 4444356080     PISSN: 02699370     EISSN: None     Source Type: Journal    
DOI: 10.1097/00002030-200409030-00020     Document Type: Letter

References (7)

1. Baxter JD, Mayers DL, Wentworth DN, Neaton JD, Hoover ML, Winters MA, et al. A randomized study of antiretroviral management based on plasma genotypic antiretroviral resistance testing in patients failing therapy. CPCRA 046 Study Team for the Terry Beirn Community Programs for Clinical Research on AIDS. AIDS 2000; 14:F83-F93.
2. Durant J, Clevenbergh P, Halfon P, Delgiudice P, Porsin S, Simonet P, et al. Drug-resistance genotyping in HIV-1 therapy: the VIRADAPT randomised controlled trial. Lancet 1999; 353:2195-2199.
3. De Luca A, Perno CF. Impact of different HIV resistance interpretation by distinct systems on clinical utility of resistance testing. Curr Opin Infect Dis 2003; 16:573-580.
4. Wang K, Jenwitheesuk E, Samudrala R, Mittler JE. Simple linear model provides highly accurate genotypic predictions of HIV-1 drug resistance. Antiviral Ther 2004; 9:343-352.
5. Rhee SY, Gonzales MJ, Kantor R, Betts BJ, Ravela J, Shafer RW. Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucl Acids Res 2003; 31:298-303.
6. Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, et al. Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype. Proc Natl Acad Sci U S A 2002; 99:8271 -8276.
7. Kijak GH, Rubio AE, Pampuro SE, Zala C, Cahn P, Galli R, et al. Discrepant results in the interpretation of HIV-1 drug resistance genotypic data among widely used algorithms. HIV Med 2003; 4:72-78.