Desirable features for any antibiotic resistance catalogue Philip Fowler, 31st October 202331st October 2023 In the past few years a growing number of catalogues containing mutations associated with resistance (and susceptibility) to different anti-TB drugs have been published. Some are supplements to papers, some can be found in a version controlled repository and others are a mixture. The publication by the World Health Organisation of their first Catalogue of mutations in Mycobacterium tuberculosis complex and their association with drug resistance in July 2021 has brought the field much needed credibility, however it has also brought to light some problems. I expect most people to agree with the statement that any catalogue must be straightforwardly usable by a public health official with limited bioinformatic training and experience, otherwise it will never be adopted in the countries where it stands to bring the biggest benefit. This naturally leads us to propose that to be unambiguous and easy to understand and deploy a catalogue of mutations should… be with respect to a specified version of a reference genome (currently H37Rv version 3 for M. tuberculosis) be a single object that is readable by both humans and computers contain all the logic necessary to build an antibiogram provide an estimate of the uncertainty underlying each association and, ideally, the evidence supporting the association be versioned to allow for bugs/mistakes to be corrected following publication ideally, be provided in a standard format so that the performance of different catalogues can be directly compared Unfortunately no published catalogue, including the first WHO catalogue (which I played a small part in collating and creating so must take some of the blame), yet meet the majority, let alone all, of these criteria. These criteria first saw the light of day at a talk I gave at the ESM Annual Meeting in Tirana, Albania in June 2023. I post the list here so we can revisit it when future catalogues are published and see how they fare. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance research tuberculosis
antimicrobial resistance New publication: Assessing Drug Susceptibility in Tuberculosis 28th September 201829th September 2018 A paper was published in the New England Journal of Medicine earlier this week by… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
tuberculosis Numpy v Biopython 25th July 20194th August 2019 Having only recently having to write bioinformatics Python code that e.g. interrogate GenBank files to… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More