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Home / Archives for Guerra-Assunção JA

Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data

  • Authors: Sobkowiak B, Glynn JR, Houben RMGJ, Mallard K, Phelan JE, Guerra-Assunção JA, Banda L, Mzembe T, Viveiros M, McNerney R, Parkhill J, Crampin AC, Clark TG
  • Publication Year: 2018
  • Journal: BMC Genomics
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/30107785

Mixed, polyclonal Mycobacterium tuberculosis infection occurs in natural populations. Developing an effective method for detecting such cases is important in measuring the success of treatment and reconstruction of transmission between patients. Using whole genome sequence (WGS) data, we assess two methods for detecting mixed infection: (i) a combination of the number of heterozygous sites and […]
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A robust SNP barcode for typing Mycobacterium tuberculosis complex strains

  • Authors: Clark TG, Coll F, Glynn JR, Guerra-Assunção JA, Martin N, McNerney R, Pain A, Perdigão J, Portugal I, Viveiros M
  • Publication Year: 2014
  • Journal: Nature Communications
  • Link: http://www.nature.com/ncomms/2014/140901/ncomms5812/full/ncomms5812.html

Strain-specific genomic diversity in the Mycobacterium tuberculosis complex (MTBC) is an important factor in pathogenesis that may affect virulence, transmissibility, host response and emergence of drug resistance. Several systems have been proposed to classify MTBC strains into distinct lineages and families. Here, we investigate single-nucleotide polymorphisms (SNPs) as robust (stable) markers of genetic variation for phylogenetic analysis. We identify ~92k SNP across a global collection of 1,601 genomes.
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Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences

  • Authors: Alves A, Coll F, Guerra-Assunção JA, Hill-Cawthorne G, Mallard K, McNerney R, Miranda A, Nair M, Preston MD, Viveiros M, Warry A
  • Publication Year: 2015
  • Journal: Genome Medicine
  • Link: https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-015-0164-0

Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using […]
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About GHTM

GHTM is a R&D Unit that brings together researchers 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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