Literature DB >> 18356601

Sequence editing by Apolipoprotein B RNA-editing catalytic component [corrected] and epidemiological surveillance of transmitted HIV-1 drug resistance.

Robert J Gifford1, Soo-Yon Rhee, Nicolas Eriksson, Tommy F Liu, Mark Kiuchi, Amar K Das, Robert W Shafer.   

Abstract

DESIGN: Promiscuous guanine (G) to adenine (A) substitutions catalysed by apolipoprotein B RNA-editing catalytic component (APOBEC) enzymes are observed in a proportion of HIV-1 sequences in vivo and can introduce artifacts into some genetic analyses. The potential impact of undetected lethal editing on genotypic estimation of transmitted drug resistance was assessed.
METHODS: Classifiers of lethal, APOBEC-mediated editing were developed by analysis of lentiviral pol gene sequence variation and evaluated using control sets of HIV-1 sequences. The potential impact of sequence editing on genotypic estimation of drug resistance was assessed in sets of sequences obtained from 77 studies of 25 or more therapy-naive individuals, using mixture modelling approaches to determine the maximum likelihood classification of sequences as lethally edited as opposed to viable.
RESULTS: Analysis of 6437 protease and reverse transcriptase sequences from therapy-naive individuals using a novel classifier of lethal, APOBEC3G-mediated sequence editing, the polypeptide-like 3G (APOBEC3G)-mediated defectives (A3GD) index', detected lethal editing in association with spurious 'transmitted drug resistance' in nearly 3% of proviral sequences obtained from whole blood and 0.2% of samples obtained from plasma.
CONCLUSION: Screening for lethally edited sequences in datasets containing a proportion of proviral DNA, such as those likely to be obtained for epidemiological surveillance of transmitted drug resistance in the developing world, can eliminate rare but potentially significant errors in genotypic estimation of transmitted drug resistance.

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Year:  2008        PMID: 18356601      PMCID: PMC2946849          DOI: 10.1097/QAD.0b013e3282f5e07a

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  47 in total

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Authors:  Victoria A Johnson; Françoise Brun-Vézinet; Bonaventura Clotet; Huldrych F Günthard; Daniel R Kuritzkes; Deenan Pillay; Jonathan M Schapiro; Douglas D Richman
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7.  Constrained patterns of covariation and clustering of HIV-1 non-nucleoside reverse transcriptase inhibitor resistance mutations.

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8.  Low-abundance resistant mutations in HIV-1 subtype C antiretroviral therapy-naive individuals as revealed by pyrosequencing.

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