Quantifying next generation sequencing sample pre-processing bias in HIV-1 complete genome sequencing

Genetic analyses play a central role in infectious disease research. Massively parallelized “mechanical cloning” and sequencing technologies were quickly adopted by HIV researchers in order to broaden the understanding of the clinical importance of minor drug-resistant variants. These efforts have, however, remained largely limited to small genomic regions. The growing need to monitor multiple genome […]
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Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic

Authors: Albert J, Balotta C, Boucher C, De Munter P, Derdelinckx I, Ferreira F, Gomez-Lopez A, Khouri R, Kostrikis LG, Kücherer C, Li G, Littsola K, Nielsen C, Paredes R, Pineda-Peña AC, Schrooten Y, Stanojevic M, Trovão NS, Van Laethem K, Van Ranst M, Van Wijngaerden E, Vandamme AM, Vercauteren J, Vinken L, Wensing A
Publication Year: 2014
Journal: PLoS One
Link: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101738

We aimed to study epidemic trends and predictors for transmitted drug resistance (TDR) in our region, its clinical impact and its association with transmission clusters. We included 778 patients from the AIDS Reference Center in Leuven (Belgium) diagnosed from 1998 to 2012. Resistance testing was performed using population-based sequencing and TDR was estimated using the WHO-2009 surveillance list.
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Quantifying next generation sequencing sample pre-processing bias in HIV-1 complete genome sequencing

Trends and predictors of transmitted drug resistance (TDR) and clusters with TDR in a local Belgian HIV-1 epidemic

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