Coll, F, Mcnerney, R, Guerra-Assunção, JA, Glynn, JR, Perdigão, J, Viveiros, M, Portugal, I, Pain, A, Martin, N and Clark, TG. 2014. Data for: "A robust SNP barcode for typing Mycobacterium tuberculosis complex strains". [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00000414.
Coll, F, Mcnerney, R, Guerra-Assunção, JA, Glynn, JR, Perdigão, J, Viveiros, M, Portugal, I, Pain, A, Martin, N and Clark, TG. Data for: "A robust SNP barcode for typing Mycobacterium tuberculosis complex strains" [Internet]. London School of Hygiene & Tropical Medicine; 2014. Available from: https://doi.org/10.17037/DATA.00000414.
Coll, F, Mcnerney, R, Guerra-Assunção, JA, Glynn, JR, Perdigão, J, Viveiros, M, Portugal, I, Pain, A, Martin, N and Clark, TG (2014). Data for: "A robust SNP barcode for typing Mycobacterium tuberculosis complex strains". [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000414.
Description
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 samples into distinct lineages and families, using molecular genotypes (e.g. spoligotyping or MIRU-VNTR), regions of difference (RD) and single nucleotide polymorphisms (SNPs). However, these systems lack accuracy or resolution due to the limited genetic variation studied or small number of samples used in their construction. We identified ~90k SNP across a global strain collection of 1,590 genomes. The SNP-based phylogeny was consistent with the gold-standard RD classification system and revealed fine-scale diversity. Of the ~7k strain-specific SNPs identified, a minimum set of 61 markers are proposed to discriminate accurately and robustly known circulating strains. This SNP barcode may be used to classify clinical isolates and evaluate tools to control TB, including therapeutics and vaccines whose effectiveness may vary by strain-type.
Additional information
Dataset held for preservation purposes. The tab-delimited dataset may be obtained from http://pathogenseq.lshtm.ac.uk/downloads/Coll2014_LinSpeSNPs_final.csv.
Keywords
Data capture method | Experiment |
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Date (Date published in a 3rd party system) | 2014 |
Language(s) of written materials | English |
Data Creators | Coll, F, Mcnerney, R, Guerra-Assunção, JA, Glynn, JR, Perdigão, J, Viveiros, M, Portugal, I, Pain, A, Martin, N and Clark, TG |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology Faculty of Infectious and Tropical Diseases > Dept of Clinical Research Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology |
Participating Institutions | Study consortium |
Funders |
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Date Deposited | 28 Apr 2017 09:55 |
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Last Modified | 08 Jul 2021 12:51 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Restricted to: LSHTM staff & other registered users (request access for others)
Filename: Coll2014_LinSpeSNPs_final.tab
Description: Held for preservation purposes. See Additional Information for access copy.
Content type: Textual content
File size: 500kB
Mime-Type: text/plain