Literature DB >> 35101846

Patterns of genomic interrelatedness of publicly available samples in the TB portals database.

Kurt R Wollenberg1, Brendan M Jeffrey2, Michael A Harris3, Andrei Gabrielian4, Darrell E Hurt5, Alex Rosenthal6.   

Abstract

The TB Portals program is an international collaboration for the collection and dissemination of tuberculosis data from patient cases focused on drug resistance. The central database is a patient-oriented resource containing both patient and pathogen clinical and genomic information. Herein we provide a summary of the pathogen genomic data available through the TB Portals and show one potential application by examining patterns of genomic pairwise distances. Distributions of pairwise distances highlight overall patterns of genome variability within and between Mycobacterium tuberculosis phylogenomic lineages. Closely related isolates (based on whole-genome pairwise distances and time between sample collection dates) from different countries were identified as potential evidence of international transmission of drug-resistant tuberculosis. These high-level views of genomic relatedness provide information that can stimulate hypotheses for further and more detailed research.
Copyright © 2022. Published by Elsevier Ltd.

Entities:  

Keywords:  Extensively-drug resistant; Multi-drug resistant; Mycobacterium tuberculosis

Mesh:

Substances:

Year:  2022        PMID: 35101846      PMCID: PMC8997244          DOI: 10.1016/j.tube.2022.102171

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  21 in total

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Authors:  Pablo Cingolani; Adrian Platts; Le Lily Wang; Melissa Coon; Tung Nguyen; Luan Wang; Susan J Land; Xiangyi Lu; Douglas M Ruden
Journal:  Fly (Austin)       Date:  2012 Apr-Jun       Impact factor: 2.160

2.  The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis.

Authors:  Alex Rosenthal; Andrei Gabrielian; Eric Engle; Darrell E Hurt; Sofia Alexandru; Valeriu Crudu; Eugene Sergueev; Valery Kirichenko; Vladzimir Lapitskii; Eduard Snezhko; Vassili Kovalev; Andrei Astrovko; Alena Skrahina; Jessica Taaffe; Michael Harris; Alyssa Long; Kurt Wollenberg; Irada Akhundova; Sharafat Ismayilova; Aliaksandr Skrahin; Elcan Mammadbayov; Hagigat Gadirova; Rafik Abuzarov; Mehriban Seyfaddinova; Zaza Avaliani; Irina Strambu; Dragos Zaharia; Alexandru Muntean; Eugenia Ghita; Miron Bogdan; Roxana Mindru; Victor Spinu; Alexandra Sora; Catalina Ene; Sergo Vashakidze; Natalia Shubladze; Ucha Nanava; Alexander Tuzikov; Michael Tartakovsky
Journal:  J Clin Microbiol       Date:  2017-09-13       Impact factor: 5.948

3.  The tempo and mode of molecular evolution of Mycobacterium tuberculosis at patient-to-patient scale.

Authors:  Anita C Schürch; Kristin Kremer; Albert Kiers; Olaf Daviena; Martin J Boeree; Roland J Siezen; Noel H Smith; Dick van Soolingen
Journal:  Infect Genet Evol       Date:  2009-10-14       Impact factor: 3.342

4.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

5.  Evolution of extensively drug-resistant Mycobacterium tuberculosis from a susceptible ancestor in a single patient.

Authors:  Vegard Eldholm; Gunnstein Norheim; Bent von der Lippe; Wibeke Kinander; Ulf R Dahle; Dominique A Caugant; Turid Mannsåker; Anne Torunn Mengshoel; Anne Ma Dyrhol-Riise; Francois Balloux
Journal:  Genome Biol       Date:  2014-11-07       Impact factor: 13.583

6.  Whole-Genome Sequencing of Mycobacterium tuberculosis Provides Insight into the Evolution and Genetic Composition of Drug-Resistant Tuberculosis in Belarus.

Authors:  Kurt R Wollenberg; Christopher A Desjardins; Aksana Zalutskaya; Vervara Slodovnikova; Andrew J Oler; Mariam Quiñones; Thomas Abeel; Sinead B Chapman; Michael Tartakovsky; Andrei Gabrielian; Sven Hoffner; Aliaksandr Skrahin; Bruce W Birren; Alexander Rosenthal; Alena Skrahina; Ashlee M Earl
Journal:  J Clin Microbiol       Date:  2016-11-30       Impact factor: 5.948

7.  A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and reactivation and reinfection status.

Authors:  Kurt Wollenberg; Michael Harris; Andrei Gabrielian; Nelly Ciobanu; Dumitru Chesov; Alyssa Long; Jessica Taaffe; Darrell Hurt; Alex Rosenthal; Michael Tartakovsky; Valeriu Crudu
Journal:  BMC Infect Dis       Date:  2020-01-07       Impact factor: 3.090

8.  Radiologist observations of computed tomography (CT) images predict treatment outcome in TB Portals, a real-world database of tuberculosis (TB) cases.

Authors:  Gabriel Rosenfeld; Andrei Gabrielian; Qinlu Wang; Jingwen Gu; Darrell E Hurt; Alyssa Long; Alex Rosenthal
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

9.  A robust SNP barcode for typing Mycobacterium tuberculosis complex strains.

Authors:  Francesc Coll; Ruth McNerney; José Afonso Guerra-Assunção; Judith R Glynn; João Perdigão; Miguel Viveiros; Isabel Portugal; Arnab Pain; Nigel Martin; Taane G Clark
Journal:  Nat Commun       Date:  2014-09-01       Impact factor: 14.919

10.  Sustainable data analysis with Snakemake.

Authors:  Felix Mölder; Kim Philipp Jablonski; Brice Letcher; Michael B Hall; Christopher H Tomkins-Tinch; Vanessa Sochat; Jan Forster; Soohyun Lee; Sven O Twardziok; Alexander Kanitz; Andreas Wilm; Manuel Holtgrewe; Sven Rahmann; Sven Nahnsen; Johannes Köster
Journal:  F1000Res       Date:  2021-01-18
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  1 in total

1.  Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis.

Authors:  Awanti Sambarey; Kirk Smith; Carolina Chung; Harkirat Singh Arora; Zhenhua Yang; Prachi Agarwal; Sriram Chandrasekaran
Journal:  medRxiv       Date:  2022-07-21
  1 in total

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