Literature DB >> 20576754

How close is close enough? Exploring matching criteria in the estimation of recent transmission of tuberculosis.

Andrea Benedetti1, Dick Menzies, Marcel A Behr, Kevin Schwartzman, Yulan Jin.   

Abstract

If Mycobacterium tuberculosis isolates from 2 people have the same genotype, transmission may have occurred between them. Genotyping based on the insertion sequence IS6110 uses identical restriction fragment length polymorphisms ("fingerprints") to infer transmission. However, once transmission has occurred, the genotypes may mutate, resulting in divergent fingerprints. Estimation of the proportion of tuberculosis (TB) cases due to recent transmission includes 3 approaches to determine if genotypes match: exact matching (assumes no fingerprint change); band-addition, band-loss, band-shift matching (ad hoc attempt to account for fingerprint changes); and genetic distance (directly accounts for fingerprint changes). Via simulation study, the authors varied the fingerprint change rate, level of recent transmission, and background genetic heterogeneity and estimated sensitivity, specificity, and bias of the recent transmission index by matching method. For exact matching, specificity was always high, but sensitivity decreased as the change rate increased. For band-addition, band-loss, band-shift matching, specificity decreased as genetic diversity decreased, and sensitivity remained high as the change rate increased. Genetic distance offered a compromise between the 2. Results from this study suggest that interpretation of the recent transmission index and the resulting necessary public health interventions will vary according to how researchers account for spontaneous mutation when estimating transmission from genotyping data.

Entities:  

Mesh:

Year:  2010        PMID: 20576754     DOI: 10.1093/aje/kwq124

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  9 in total

Review 1.  Translating basic science insight into public health action for multidrug- and extensively drug-resistant tuberculosis.

Authors:  Nicholas D Walter; Michael Strong; Robert Belknap; Diane J Ordway; Charles L Daley; Edward D Chan
Journal:  Respirology       Date:  2012-07       Impact factor: 6.424

2.  Contact investigation in households of patients with tuberculosis in Hanoi, Vietnam: a prospective cohort study.

Authors:  Gregory James Fox; Nguyen Viet Nhung; Dinh Ngoc Sy; Luu Thi Lien; Nguyen Kim Cuong; Warwick John Britton; Guy Barrington Marks
Journal:  PLoS One       Date:  2012-11-15       Impact factor: 3.240

3.  Towards eliminating bias in cluster analysis of TB genotyped data.

Authors:  Cari van Schalkwyk; Madeleine Cule; Alex Welte; Paul van Helden; Gian van der Spuy; Pieter Uys
Journal:  PLoS One       Date:  2012-03-29       Impact factor: 3.240

4.  Exploring genotype concordance in epidemiologically linked cases of tuberculosis in New York City.

Authors:  R S Robbins; B R Perri; S D Ahuja; H A Anger; J Sullivan Meissner; E Shashkina; B N Kreiswirth; D C Proops
Journal:  Epidemiol Infect       Date:  2016-11-21       Impact factor: 4.434

5.  Neighborhood socioeconomic position and tuberculosis transmission: a retrospective cohort study.

Authors:  Eyal Oren; Masahiro Narita; Charles Nolan; Jonathan Mayer
Journal:  BMC Infect Dis       Date:  2014-04-27       Impact factor: 3.090

6.  Marked microevolution of a unique Mycobacterium tuberculosis strain in 17 years of ongoing transmission in a high risk population.

Authors:  Carolina Mehaffy; Jennifer L Guthrie; David C Alexander; Rebecca Stuart; Elizabeth Rea; Frances B Jamieson
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

7.  Spoligotyping of Clinical Isolates of Mycobacterium tuberculosis Complex Species in the Oromia Region of Ethiopia.

Authors:  Bedru Hussien; Aboma Zewude; Biniam Wondale; Awraris Hailu; Gobena Ameni
Journal:  Front Public Health       Date:  2022-03-17

8.  Extrapulmonary tuberculosis: Mycobacterium tuberculosis strains and host risk factors in a large urban setting in Brazil.

Authors:  Teresa Gomes; Solange Alves Vinhas; Bárbara Reis-Santos; Moisés Palaci; Renata Lyrio Peres; Paola P Aguiar; Fabiola Karla Correa Ribeiro; Hebert Silva Marques; Valdério do Valle Dettoni; John L Johnson; Lee W Riley; Ethel Leonor Maciel
Journal:  PLoS One       Date:  2013-10-02       Impact factor: 3.240

9.  A Novel Tool Improves Existing Estimates of Recent Tuberculosis Transmission in Settings of Sparse Data Collection.

Authors:  Parastu Kasaie; Barun Mathema; W David Kelton; Andrew S Azman; Jeff Pennington; David W Dowdy
Journal:  PLoS One       Date:  2015-12-17       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.