GHTM

Global Health and Tropical Medicine

  • GHTM
    • About GHTM
    • Governance
    • Impact
    • Members
      • Population health, policies and services
        • PPS PhD members
        • PPS non PhD members
      • TB, HIV and opportunistic diseases and pathogens
        • THOP PhD members
        • THOP non PhD members
      • Vector-borne diseases
        • VBD PhD members
        • VBD non PhD members
      • Individual Health Care
        • IHC PhD members
        • IHC non PhD members
      • Tech & Admin support
    • Scientific Advisory Board
  • Research
    • Cross-cutting issues
      • Global Pathogen Dispersion and Population Mobility
      • Drug Discovery and Drug Resistance
      • Diagnostics
      • Public Health Information
      • Fair Research Partnerships
    • Research Groups
      • PPS – Population health, policies and services
      • THOP – TB, HIV and opportunistic diseases and pathogens
      • VBD – Vector borne diseases
      • IHC – Individual health care
    • Research in numbers
      • 2023
      • 2022
      • 2021
      • 2020
      • 2019
      • 2018
      • 2017
    • Projects
      • Ongoing Projects
      • Completed Projects
  • Outreach
    • Events
    • News
    • Policy Support & Community Outreach
  • Publications
    • 2024
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2015
  • Capacity Building
    • Education
      • Master Theses
      • PhD Theses
    • International
  • Infrastructures
  • Networks & Partnerships
  • Reports
    • GHTM
    • Scientific Advisory Board
    • FCT
Home / Archives for Mallard K

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 […]
Read More

Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis

  • Authors: Coll F, Phelan J, Hill-Cawthorne GA, Nair MB, Mallard K, Ali S, Abdallah AM, Alghamdi S, Alsomali M, Ahmed AO, Portelli S, Oppong Y, Alves A, Bessa TB, Campino S, Caws M, Chatterjee A, Crampin AC, Dheda K, Furnham N, Glynn JR, Grandjean L, Minh Ha D, Hasan R, Hasan Z, Hibberd ML, Joloba M, Jones-López EC, Matsumoto T, Miranda A, Moore DJ, Mocillo N, Panaiotov S, Parkhill J, Penha C, Perdigão J, Portugal I, Rchiad Z, Robledo J, Sheen P, Shesha NT, Sirgel FA, Sola C, Oliveira Sousa E, Streicher EM, Helden PV, Viveiros M, Warren RM, McNerney R, Pain A, Clark TG
  • Publication Year: 2018
  • Journal: Nature Genetics
  • Link: https://www.nature.com/articles/s41588-017-0029-0%20

To characterize the genetic determinants of resistance to antituberculosis drugs, we performed a genome-wide association study (GWAS) of 6,465 Mycobacterium tuberculosis clinical isolates from more than 30 countries. A GWAS approach within a mixed-regression framework was followed by a phylogenetics-based test for independent mutations. In addition to mutations in established and recently described resistance-associated genes, […]
Read More

Genomic diversity of drug-resistant Mycobacterium tuberculosis isolates in Lisbon Portugal: Towards tuberculosis genomic epidemiology

  • Authors: Clark T, Coll F, Couto I, Hill-Cawthorne GA, Jordao L, Macedo R, Machado D, Mallard K, Maltez F, McNerney R, Pain A, Perdigão J, Portugal I, Silva C, Silva H, Viveiros M
  • Publication Year: 2015
  • Journal: International Journal of Mycobacteriology
  • Link: https://www.sciencedirect.com/science/article/pii/S2212553115000254

Multidrug- (MDR) and extensively drug-resistant (XDR) tuberculosis (TB) present a challenge to disease control and elimination goals. Lisbon, Portugal, has a high TB incidence rate and unusual and successful XDR-TB strains that have been found in circulation for almost two decades. For the last 20 years, a continued circulation of two phylogenetic clades, Lisboa3 and […]
Read More

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 […]
Read More

Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting

  • Authors: Clark TG, Coll F, Couto I, Hill-Cawthorne GA, Jordao L, Macedo R, Machado D, Mallard K, Maltez F, McNerney R, Pain A, Perdigão J, Portugal I, Silva C, Silva H, Viveiros M
  • Publication Year: 2014
  • Journal: BMC Genomics
  • Link: http://www.biomedcentral.com/1471-2164/15/991

Multidrug- (MDR) and extensively drug resistant (XDR) tuberculosis (TB) presents a challenge to disease control and elimination goals. In Lisbon, Portugal, specific and successful XDR-TB strains have been found in circulation for almost two decades.
Read More

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.

Contacts

Rua da Junqueira, 100
1349-008 Lisboa
Portugal

+351 213 652 600

  • E-mail
  • Facebook
  • LinkedIn
  • Twitter
  • YouTube

Map

  • Events
  • Research Groups
  • Cross-cutting issues
© Copyright 2025 IHMT-UNL All Rights Reserved.
  • Universidade Nova de Lisboa
  • Fundação para a Ciência e a Tecnologia

    UIDB/04413/2020
    UIDP/04413/2020

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.Ok