Literature DB >> 10599007

Interpreting DNA fingerprint clusters of Mycobacterium tuberculosis. European Concerted Action on Molecular Epidemiology and Control of Tuberculosis.

J R Glynn1, J Bauer, A S de Boer, M W Borgdorff, P E Fine, P Godfrey-Faussett, E Vynnycky.   

Abstract

Many studies of tuberculosis have defined clusters of patients on the basis of shared DNA fingerprint patterns of their Mycobacterium tuberculosis isolates. Clustering has been equated with recent transmission, and factors associated with clustering have been sought as a guide to population subgroups with high rates of ongoing transmission of M. tuberculosis. Considerable caution should be exercised in conducting and interpreting these studies. Groups of strains may be identical for reasons other than recent transmission, depending, for example, on the stability of the marker and the number of strains in the population over time. Cases actually due to recent transmission may not be seen as clustered if they are new immigrants to the population or if not all cases in the population are included in the study. The amount of clustering seen will depend on the duration of the study. Studies should give precise information on the study setting, the proportion of cases included, the recruitment period and the definition of clustering used. The data on clustering should be disaggregated at least by age, sex and immigration status. To be maximally informative, studies should involve a high proportion of all cases in a population, be conducted in conjunction with conventional epidemiological investigations of contacts (if possible), and should provide information on tuberculosis incidence in the population and on patients' age, sex, human immunodeficiency virus status, drug resistance and social and ethnic group.

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Year:  1999        PMID: 10599007

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  54 in total

1.  Molecular and conventional epidemiology of Mycobacterium tuberculosis in Botswana: a population-based prospective study of 301 pulmonary tuberculosis patients.

Authors:  S Lockman; J D Sheppard; C R Braden; M J Mwasekaga; C L Woodley; T A Kenyon; N J Binkin; M Steinman; F Montsho; M Kesupile-Reed; C Hirschfeldt; M Notha; T Moeti; J W Tappero
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

2.  Use of genetic distance as a measure of ongoing transmission of Mycobacterium tuberculosis.

Authors:  G D van der Spuy; R M Warren; M Richardson; N Beyers; M A Behr; P D van Helden
Journal:  J Clin Microbiol       Date:  2003-12       Impact factor: 5.948

Review 3.  The transmission of tuberculosis in the light of new molecular biological approaches.

Authors:  A Seidler; A Nienhaus; R Diel
Journal:  Occup Environ Med       Date:  2004-02       Impact factor: 4.402

4.  Mycobacterial interspersed repetitive unit typing of Mycobacterium tuberculosis compared to IS6110-based restriction fragment length polymorphism analysis for investigation of apparently clustered cases of tuberculosis.

Authors:  Peter M Hawkey; E Grace Smith; Jason T Evans; Philip Monk; Gerry Bryan; Huda H Mohamed; Madhu Bardhan; R Nicholas Pugh
Journal:  J Clin Microbiol       Date:  2003-08       Impact factor: 5.948

5.  Molecular epidemiology of tuberculosis among immigrants in Hamburg, Germany.

Authors:  Roland Diel; Sabine Rüsch-Gerdes; Stefan Niemann
Journal:  J Clin Microbiol       Date:  2004-07       Impact factor: 5.948

6.  Secondary typing of Mycobacterium tuberculosis isolates with matching IS6110 fingerprints from different geographic regions of the United States.

Authors:  Z H Yang; J H Bates; K D Eisenach; M D Cave
Journal:  J Clin Microbiol       Date:  2001-05       Impact factor: 5.948

7.  Transmission classification model to determine place and time of infection of tuberculosis cases in an urban area.

Authors:  G de Vries; H W M Baars; M M G G Sebek; N A H van Hest; J H Richardus
Journal:  J Clin Microbiol       Date:  2008-10-08       Impact factor: 5.948

8.  What has Karonga taught us? Tuberculosis studied over three decades.

Authors:  A C Crampin; J R Glynn; P E M Fine
Journal:  Int J Tuberc Lung Dis       Date:  2009-02       Impact factor: 2.373

9.  Sampling bias in the molecular epidemiology of tuberculosis.

Authors:  Megan Murray
Journal:  Emerg Infect Dis       Date:  2002-04       Impact factor: 6.883

10.  Diversity of Mycobacterium tuberculosis genotypes circulating in Ndola, Zambia.

Authors:  Chanda Mulenga; Isdore C Shamputa; David Mwakazanga; Nathan Kapata; Françoise Portaels; Leen Rigouts
Journal:  BMC Infect Dis       Date:  2010-06-17       Impact factor: 3.090

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