The global meningitis genome partnership.

Elizabeth Rodgers ; Stephen D Bentley ; Ray Borrow ; Holly B Bratcher ; Sylvain Brisse ; Angela B Brueggemann ; Dominique A Caugant ; Jamie Findlow ; LeAnne Fox ; Linda Glennie ; +25 more... Lee H Harrison ; Odile B Harrison ; Robert S Heyderman ; Melissa Jansen van Rensburg ; Keith A Jolley ; Brenda Kwambana-Adams ; Shamez Ladhani ; Marc LaForce ; Michael Levin ; Jay Lucidarme ; Neil MacAlasdair ; Jenny Maclennan ; Martin CJ Maiden ; Laura Maynard-Smith ; Alessandro Muzzi ; Philipp Oster ; Charlene MC Rodrigues ORCID logo ; Olivier Ronveaux ; Laura Serino ; Vinny Smith ; Arie van der Ende ; Julio Vázquez ; Xin Wang ; Saber Yezli ; James M Stuart ; (2020) The global meningitis genome partnership. Journal of Infection, 81 (4). pp. 510-520. ISSN 0163-4453 DOI: 10.1016/j.jinf.2020.06.064
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Genomic surveillance of bacterial meningitis pathogens is essential for effective disease control globally, enabling identification of emerging and expanding strains and consequent public health interventions. While there has been a rise in the use of whole genome sequencing, this has been driven predominately by a subset of countries with adequate capacity and resources. Global capacity to participate in surveillance needs to be expanded, particularly in low and middle-income countries with high disease burdens. In light of this, the WHO-led collaboration, Defeating Meningitis by 2030 Global Roadmap, has called for the establishment of a Global Meningitis Genome Partnership that links resources for: N. meningitidis (Nm), S. pneumoniae (Sp), H. influenzae (Hi) and S. agalactiae (Sa) to improve worldwide co-ordination of strain identification and tracking. Existing platforms containing relevant genomes include: PubMLST: Nm (31,622), Sp (15,132), Hi (1935), Sa (9026); The Wellcome Sanger Institute: Nm (13,711), Sp (> 24,000), Sa (6200), Hi (1738); and BMGAP: Nm (8785), Hi (2030). A steering group is being established to coordinate the initiative and encourage high-quality data curation. Next steps include: developing guidelines on open-access sharing of genomic data; defining a core set of metadata; and facilitating development of user-friendly interfaces that represent publicly available data.


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