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The global meningitis genome partnership

Title: The global meningitis genome partnership
Authors: Rodgers, E; Bentley, SD; Borrow, R; Bratcher, HB; Brisse, S; Brueggemann, AB; Caugant, DA; Findlow, J; Fox, L; Glennie, L; Harrison, LH; Harrison, OB; Heyderman, RS; van Rensburg, MJ; Jolley, KA; Kwambana-Adams, B; Ladhani, S; LaForce, M; Levin, M; Lucidarme, J; MacAlasdair, N; Maclennan, J; Maiden, MCJ; Maynard-Smith, L; Muzzi, A; Oster, P; Rodrigues, CMC; Ronveaux, O; Serino, L; Smith, V; van der Ende, A; Vázquez, J; Wang, X; Yezli, S; Stuart, JM
Publisher Information: Elsevier
Publication Year: 2020
Collection: Oxford University Research Archive (ORA)
Description: 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.
Document Type: article in journal/newspaper
Language: English
Relation: https://doi.org/10.1016/j.jinf.2020.06.064
DOI: 10.1016/j.jinf.2020.06.064
Availability: https://doi.org/10.1016/j.jinf.2020.06.064; https://ora.ox.ac.uk/objects/uuid:a8e4c1c5-07d8-40a6-9969-f601d1424ac2
Rights: info:eu-repo/semantics/openAccess ; CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)
Accession Number: edsbas.90DFEEF7
Database: BASE