Genomic epidemiology of Mycobacterium tuberculosis in Wales

Pacchiarini, Nicole, Simkin, Felicity, Postans, Mark, Ahern, George, Song, Jiao, Brown, Clare, Smith, Josie, Williams, Catie, Backx, Matthijs, Thomas, Daniel, Connor, Thomas R. ORCID: https://orcid.org/0000-0003-2394-6504 and Williams, Christopher 2025. Genomic epidemiology of Mycobacterium tuberculosis in Wales. Scientific Reports 15 (1) , 31106. 10.1038/s41598-025-15076-8

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Abstract

Identification of factors contributing to tuberculosis (TB) transmission can guide targeted measures to reduce morbidity. Varying findings for factors associated with TB genomic clustering exist. We describe Mycobacterium tuberculosis strain diversity, drug-resistance, and ongoing transmission in Wales using single nucleotide polymorphisms (SNP)-based typing to infer lineage and clusters. TB cohort data on isolates from Welsh residents from 2012 to 2022, patient level data from the National TB Surveillance System and SNP-based data, were merged. Descriptive epidemiology and logistic regression modelling were used to identify factors associated with genotypic clustering. 215 cases were included in the cluster analysis (66% male and 46% born outside of the UK); 115/215 belonged to 30 genomic clusters belonging to lineages 2–4. Most clusters corresponded to Lineage 4 and were distributed within South Wales. There were significant differences in the distribution of ethnicity, age group, and deprivation (Welsh Index of Multiple Deprivation, WIMD) in our sample compared to the Welsh population. Resistance to rifampicin and isoniazid and predicted resistance to ethambutol, aminoglycosides, pyrazinamide, and quinolone was low. Factors associated with increased odds of clustering included being UK-born and having pulmonary disease. Due to the identification of the above factors associated with TB genomic clustering, as well as the differences in ethnicity, age group, and WIMD quintile, prevention strategies for TB screening targeted towards these groups may be considered. Future work may evaluate the utility of additional control measures within these populations when the onset case in a genomic cluster has any of these characteristics.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Biosciences
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0/, Type: open-access
Publisher:	Nature Research
Date of First Compliant Deposit:	26 August 2025
Date of Acceptance:	5 August 2025
Last Modified:	26 Aug 2025 15:15
URI:	https://orca.cardiff.ac.uk/id/eprint/180670

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