GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Output identifier
- 176
- Type
- D - Journal article
- DOI
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10.1038/s41467-019-10110-6
- Title of journal
- Nature Communications
- Article number
- 2128
- First page
- -
- Volume
- 10
- Issue
- 1
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
https://www.nature.com/articles/s41467-019-10110-6
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
14
- Research group(s)
-
-
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- Conor J Meehan (CJM) oversaw the inclusion of the WHO TDR dataset, consisting of over 200 global Mycobacterium tuberculosis isolates collected by the WHO. CJM organised the collation of this data at the Institute of Tropical Medicine, including the whole genome sequencing of the isolates. CJM used bioinformatic approaches to assemble the genomes and predict drug resistance profiles from this data. The genomic data was then provided to the main study for GWAS analysis.
CJM wrote the relevant portion of the methods for the paper and gave critical feedback on the entire manuscript.
- Non-English
- No
- English abstract
- -