TY - JOUR
T1 - The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance
T2 - a genotypic analysis
AU - Walker, Timothy M.
AU - Fowler, Philip W.
AU - Knaggs, Jeff
AU - Hunt, Martin
AU - Peto, Timothy E. A.
AU - Walker, Ann Sarah
AU - Crook, Derrick W.
AU - Walker, Timothy M.
AU - Miotto, Paolo
AU - Cirillo, Daniela Maria
AU - Köser, Claudio U.
AU - Knaggs, Jeff
AU - Iqbal, Zamin
AU - Hunt, Martin
AU - Chindelevitch, Leonid
AU - Farhat, Maha R.
AU - Comas, I. aki
AU - Comas, I. aki
AU - Posey, James
AU - Omar, Shaheed V.
AU - Peto, Timothy E. A.
AU - Walker, Ann Sarah
AU - Crook, Derrick W.
AU - Suresh, Anita
AU - Uplekar, Swapna
AU - Laurent, Sacha
AU - Colman, Rebecca E.
AU - Rodwell, Timothy C.
AU - Nathanson, Carl-Michael
AU - Zignol, Matteo
AU - Ismail, Nazir
AU - Rodwell, Timothy C.
AU - CRyPTIC Consortium, the Seq&Treat Consortium
AU - Walker, A. Sarah
AU - Steyn, Adrie J. C.
AU - Lalvani, Ajit
AU - Baulard, Alain
AU - Christoffels, Alan
AU - Mendoza-Ticona, Alberto
AU - Trovato, Alberto
AU - Skrahina, Alena
AU - Lachapelle, Alexander S.
AU - Brankin, Alice
AU - Piatek, Amy
AU - Gibertoni Cruz, Ana
AU - Koch, Anastasia
AU - Cabibbe, Andrea Maurizio
AU - Spitaleri, Andrea
AU - Brandao, Angela P.
AU - Chaiprasert, Angkana
AU - Suresh, Anita
AU - Barbova, Anna
AU - van Rie, Annelies
AU - Ghodousi, Arash
AU - Bainomugisa, Arnold
AU - Mandal, Ayan
AU - Roohi, Aysha
AU - Javid, Babak
AU - Zhu, Baoli
AU - Letcher, Brice
AU - Rodrigues, Camilla
AU - Nimmo, Camus
AU - NATHANSON, Carl-Michael
AU - Duncan, Carla
AU - Coulter, Christopher
AU - Utpatel, Christian
AU - Liu, Chunfa
AU - Grazian, Clara
AU - Kong, Clare
AU - Köser, Claudio U.
AU - Wilson, Daniel J.
AU - Cirillo, Daniela Maria
AU - Matias, Daniela
AU - Jorgensen, Danielle
AU - Zimenkov, Danila
AU - Chetty, Darren
AU - Moore, David A. J.
AU - Clifton, David A.
AU - Crook, Derrick W.
AU - van Soolingen, Dick
AU - Liu, Dongxin
AU - Kohlerschmidt, Donna
AU - Barreira, Draurio
AU - Ngcamu, Dumisani
AU - Santos Lazaro, Elias David
AU - Kelly, Ellis
AU - Borroni, Emanuele
AU - Roycroft, Emma
AU - Andre, Emmanuel
AU - Böttger, Erik C.
AU - Robinson, Esther
AU - Menardo, Fabrizio
AU - Mendes, Flavia F.
AU - Jamieson, Frances B.
AU - Coll, Francesc
AU - Gao, George Fu
AU - Kasule, George W.
AU - Rossolini, Gian Maria
AU - Rodger, Gillian
AU - Smith, E. Grace
AU - Meintjes, Graeme
AU - Thwaites, Guy
AU - Hoffmann, Harald
AU - Albert, Heidi
AU - Cox, Helen
AU - Laurenson, Ian F.
AU - Comas, I. aki
AU - Arandjelovic, Irena
AU - Barilar, Ivan
AU - Robledo, Jaime
AU - Millard, James
AU - Johnston, James
AU - Posey, Jamie
AU - Andrews, Jason R.
AU - Knaggs, Jeff
AU - Gardy, Jennifer
AU - Guthrie, Jennifer
AU - Taylor, Jill
AU - Werngren, Jim
AU - Metcalfe, John
AU - Coronel, Jorge
AU - Shea, Joseph
AU - Carter, Joshua
AU - Pinhata, Juliana M. W.
AU - Kus, Julianne V.
AU - Todt, Katharina
AU - Holt, Kathryn
AU - Nilgiriwala, Kayzad S.
AU - Ghisi, Kelen T.
AU - Malone, Kerri M.
AU - Faksri, Kiatichai
AU - Musser, Kimberlee A.
AU - Joseph, Lavania
AU - Rigouts, Leen
AU - Chindelevitch, Leonid
AU - Jarrett, Lisa
AU - Grandjean, Louis
AU - Ferrazoli, Lucilaine
AU - Rodrigues, Mabel
AU - Farhat, Maha
AU - Schito, Marco
AU - Fitzgibbon, Margaret M.
AU - Loembé, Marguerite Massinga
AU - Wijkander, Maria
AU - Ballif, Marie
AU - Rabodoarivelo, Marie-Sylvianne
AU - Mihalic, Marina
AU - WILCOX, Mark
AU - Hunt, Martin
AU - ZIGNOL, Matteo
AU - Merker, Matthias
AU - Egger, Matthias
AU - O'Donnell, Max
AU - Caws, Maxine
AU - Wu, Mei-Hua
AU - Whitfield, Michael G.
AU - Inouye, Michael
AU - Mansjö, Mikael
AU - Dang Thi, Minh Ha
AU - Joloba, Moses
AU - Kamal, S. M. Mostofa
AU - Okozi, Nana
AU - ISMAIL, Nazir
AU - Mistry, Nerges
AU - Hoang, Nhung N.
AU - Rakotosamimanana, Niaina
AU - Paton, Nicholas I.
AU - Rancoita, Paola M. V.
AU - Miotto, Paolo
AU - Lapierre, Pascal
AU - Hall, Patricia J.
AU - Tang, Patrick
AU - Claxton, Pauline
AU - Wintringer, Penelope
AU - Keller, Peter M.
AU - Thai, Phan Vuong Khac
AU - Fowler, Philip W.
AU - Supply, Philip
AU - Srilohasin, Prapaporn
AU - Suriyaphol, Prapat
AU - Rathod, Priti
AU - Kambli, Priti
AU - Groenheit, Ramona
AU - Colman, Rebecca E.
AU - Ong, Rick Twee-Hee
AU - Warren, Robin M.
AU - Wilkinson, Robert J.
AU - Diel, Roland
AU - Oliveira, Rosangela S.
AU - Khot, Rukhsar
AU - Jou, Ruwen
AU - Tahseen, Sabira
AU - Laurent, Sacha
AU - Gharbia, Saheer
AU - Kouchaki, Samaneh
AU - Shah, Sanchi
AU - Plesnik, Sara
AU - Earle, Sarah G.
AU - Dunstan, Sarah
AU - Hoosdally, Sarah J.
AU - Mitarai, Satoshi
AU - Gagneux, Sebastien
AU - Omar, Shaheed V.
AU - Yao, Shen-Yuan
AU - Grandjean Lapierre, Simon
AU - Battaglia, Simone
AU - Niemann, Stefan
AU - Pandey, Sushil
AU - Uplekar, Swapna
AU - Halse, Tanya A.
AU - Cohen, Ted
AU - Cortes, Teresa
AU - Prammananan, Therdsak
AU - Kohl, Thomas A.
AU - Thuong, Nguyen T. T.
AU - Teo, Tik Ying
AU - Peto, Timothy E. A.
AU - Rodwell, Timothy C.
AU - William, Timothy
AU - Walker, Timothy M.
AU - Rogers, Thomas R.
AU - Surve, Utkarsha
AU - Mathys, Vanessa
AU - Furió, Victoria
AU - Cook, Victoria
AU - Vijay, Srinivasan
AU - Escuyer, Vincent
AU - Dreyer, Viola
AU - Sintchenko, Vitali
AU - Saphonn, Vonthanak
AU - Solano, Walter
AU - Lin, Wan-Hsuan
AU - van Gemert, Wayne
AU - He, Wencong
AU - Yang, Yang
AU - Zhao, Yanlin
AU - Qin, Youwen
AU - Xiao, Yu-Xin
AU - Hasan, Zahra
AU - Iqbal, Zamin
AU - Puyen, Zully M.
N1 - Funding Information:
This work was supported by the Wellcome Trust/Newton Fund-Medical Research Council Collaborative Award (200205/Z/15/Z), Bill & Melinda Gates Foundation Trust (OPP1133541), and supported by a grant from Unitaid. This research was funded, in part, by the Wellcome Trust (200205/Z/15/Z). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. A complete funding statement can be found in appendix 1. We would like to thank Marcel Behr, Joconiah Chirenda, Tom Connor, Marcelo Cordeiro dos Santos, Lauren Cowan, Julio Croda, Chhavarath Dary, James Dawson, Bouke de Jong, Han de Neeling, Keertan Dheda, Tatiana Dutra, Konstantin Edokimov, David Englethaler, Neel Gandhi, Amy Gaskin, Solomon Ghebremichael, Li-Yang Hsu, Faisal Masood Khanzada, HeeJin Kim, Afrânio Kritski, Connie Lam, Maria Lucia Rossetti, Flora Martinez, Elena Martinez, Neil Martinson, Barun Mathema, Vidya Mave, Anju Kagal, Neeta Pradham, Jonathan Golub, Amita Gupta, Conor Meehan, Isabela Neves de Almeida, Anna P Ralph, Alamdar Hussain Rizvi, Moises Palaci, Eddy Qing-Hao Miow, Alex Rosenthal, Richard Salvato, Giri Shan Rajahram, Elisangela Silva, Mel Spigelman, Silvana Spindola de Miranda, Grant Theron, Juan Carlos Toro, and Oren Tzfadia for efforts to contribute data and other support.
Funding Information:
CUK is a consultant for Becton Dickinson, FIND, and the TB Alliance. CUK is collaborating with Janssen, PZA Innovation, and Thermo Fisher Scientific; worked as a consultant for QuantuMDx, the Stop TB Partnership, the WHO Global TB Programme, and the WHO Regional Office for Europe; and gave a paid educational talk for Oxford Immunotec. Hain Lifescience covered CUK's travel and accommodation to present at a meeting. CUK is an unpaid adviser to BioVersys and GenoScreen. ERR is employed by the UK Health Security Agency (UKHSA) and holds an honorary contract with Imperial College London. IFL is director of the Scottish Mycobacteria Reference Laboratory. SN receives funding from German Center for Infection Research, Excellenz Cluster Precision Medicine in Chronic Inflammation, and Leibniz Science Campus Evolutionary Medicine of the LUNG (EvoLUNG)tion EXC 2167. PS is a consultant at Genoscreen. TR is funded by the National Institutes for Health and US Department of Defence and receives salary support from the non-profit organisation FIND. TR is a cofounder, board member, and shareholder of Verus Diagnostics, a company that was founded with the intent of developing diagnostic assays. Verus Diagnostics was not involved in any way with data collection, analysis, or publication of the results, and TR has not received any financial support from Verus Diagnostics. University of California, San Diego (UCSD) Conflict of Interest office has reviewed and approved TR's role in Verus Diagnostics. TR is a coinventor of a provisional patent for a TB diagnostic assay (provisional patent 63/048.989). TR is a coinventor on a patent associated with the processing of tuberculosis sequencing data (European Patent Application 14840432.0 & USSN 14/912,918). TR has agreed to “donate all present and future interest in and rights to royalties from this patent” to UCSD to ensure that he does not receive any financial benefits from this patent. SS works and holds stock options at HaystackAnalytics (Product: Using whole genome sequencing for drug susceptibility testing for Mycobacterium tuberculosis). GFG is listed as an inventor on patent applications for RBD-dimer-based coronavirus vaccines. The patents for these RBD dimers as protein subunit vaccines for SARS-CoV-2 have been licensed to Anhui Zhifei Longcom Biopharmaceutical. IC is a consultant for FIND. DAC reports funding from GlaxoSmithKline and consultancy fees from Biobeats, Oxford University Innovation, and Sensyne Health. CC reports funding from FIND to his institution (Pathology Queensland, Queensland Department of Health) for his laboratory to perform molecular analytic studies (limits of detection) for new molecular platforms manufactured by Cepheid and Bioneer. The other authors declare no competing interests.
Publisher Copyright:
© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2022/4/1
Y1 - 2022/4/1
N2 - Background: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (7·3%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. Funding: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation.
AB - Background: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (7·3%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. Funding: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation.
UR - https://www.scopus.com/pages/publications/85127127568
U2 - 10.1016/S2666-5247(21)00301-3
DO - 10.1016/S2666-5247(21)00301-3
M3 - Article
C2 - 35373160
SN - 2666-5247
VL - 3
SP - e265-e273
JO - The Lancet. Microbe
JF - The Lancet. Microbe
IS - 4
ER -