The global meningitis genome partnership

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 pr...

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Main 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
格式: Journal article
语言:English
出版: Elsevier 2020
实物特征
总结: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.