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Home / Archives for Baele G

PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context

  • Autores: Baele G, Bezenchek A, EucoHIV Study Group, Incardona F, Libin P, Nowé A, Sönnerborg A, Theys K, Vandamme AM, Vanden Eynden E
  • Ano de Publicação: 2017
  • Journal: Bioinformatics
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/28961923

MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study this spread through phylogenetic analysis. To infer knowledge from large phylogenetic trees, potentially […]
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Quantifying next generation sequencing sample pre-processing bias in HIV-1 complete genome sequencing

  • Autores: Baele G, Lemey P, Trovão NS, Van Laethem K, Van Wijngaerden E, Vandamme AM, Vrancken B
  • Ano de Publicação: 2016
  • Journal: Viruses
  • Link: http://www.mdpi.com/1999-4915/8/1/12%20

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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Sub-Epidemics Explain Localized High Prevalence of Reduced Susceptibility to Rilpivirine in Treatment-Naive HIV-1-Infected Patients: Subtype and Geographic Compartmentalization of Baseline Resistance Mutations

  • Autores: Abecasis AB, Baele G, Camacho RJ, Gomes P, Pineda-Peña AC, Theys K, Van Laethem K, Vandamme AM
  • Ano de Publicação: 2016
  • Journal: AIDS Research and Human Retroviruses
  • Link: https://www.liebertpub.com/doi/abs/10.1089/aid.2015.0095%20

The latest nonnucleoside reverse transcriptase inhibitor (NNRTI) rilpivirine (RPV) is indicated for human immunodeficiency virus type-1 (HIV-1) patients initiating antiretroviral treatment, but the extent of genotypic RPV resistance in treatment-naive patients outside clinical trials is poorly defined. This retrospective observational study of clinical data from Belgium and Portugal evaluates genotypic information from HIV-1 drug-naive patients […]
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The genealogical population dynamics of HIV-1 in a large transmission chain: bridging within and among host evolutionary rates

  • Autores: Baele G, Derdelinckx I, Drummond A, Lemey P, Rambaut A, Suchard MA, Van Laethem K, Van Wijngaerden E, Vandamme AM, Vrancken B
  • Ano de Publicação: 2014
  • Journal: PLoS Computational Biology
  • Link: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003505

Transmission lies at the interface of human immunodeficiency virus type 1 (HIV-1) evolution within and among hosts and separates distinct selective pressures that impose differences in both the mode of diversification and the tempo of evolution. In the absence of comprehensive direct comparative analyses of the evolutionary processes at different biological scales, our understanding of how fast within-host HIV-1 evolutionary rates translate to lower rates at the between host level remains incomplete.
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The early spread and epidemic ignition of HIV-1 in human populations

  • Autores: Arinaminpathy N, Baele G, Bedford T, Faria NR, Lemey P, Peeters M, Pepin J, Posada D, Pybus OG, Rambaut A, Sousa JD, Suchard MA, Tatem AJ, Ward MJ
  • Ano de Publicação: 2014
  • Journal: Science
  • Link: http://www.sciencemag.org/content/346/6205/56.abstract

Thirty years after the discovery of HIV-1, the early transmission, dissemination, and establishment of the virus in human populations remain unclear. Using statistical approaches applied to HIV-1 sequence data from central Africa, we show that from the 1920s Kinshasa (in what is now the Democratic Republic of Congo) was the focus of early transmission and the source of pre-1960 pandemic viruses elsewhere.
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About GHTM

GHTM is a R&D Center that brings together researchers from IHMT with a track record in Tropical Medicine and International/Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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1349-008 Lisboa
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+351 213 652 600
+351 213 632 105

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