Phylogenomic analysis of Neisseria gonorrhoeae: a promising tool for tracking putative gonococcal sexual networks

In The Lancet Infectious Diseases, Katy Town and colleagues1 report findings of the first large-scale study in which phylogenomic, whole-genome sequencing (WGS) analysis of Neisseria gonorrhoeae isolates was used to identify molecular networks of transmission. The selection of this cutoff was somewh...

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Bibliographic Details
Published in:The Lancet infectious diseases 2020-04, Vol.20 (4), p.391-392
Main Authors: Jolly, Ann M, Dillon, Jo-Anne R
Format: Article
Language:English
Subjects:
Disease transmission
Gene sequencing
Genomes
Gonorrhea
HIV
Human immunodeficiency virus
Infections
Infectious diseases
Molecular chains
Neisseria gonorrhoeae
Polymorphism
Public health
Sexually transmitted diseases
STD
Studies
Surveillance
Whole genome sequencing
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Summary:In The Lancet Infectious Diseases, Katy Town and colleagues1 report findings of the first large-scale study in which phylogenomic, whole-genome sequencing (WGS) analysis of Neisseria gonorrhoeae isolates was used to identify molecular networks of transmission. The selection of this cutoff was somewhat arbitrary and based on several previous, smaller studies. Because this research will inspire others to undertake similar studies, it will be interesting to understand how different populations and locations influence the selection of appropriate cutoffs to identify molecular chains of transmission. Town and colleagues accessed a remarkable centralised data resource—ie, GRASP information linked with Public Health England's Sexually Transmitted Infection Surveillance System, which collects clinical, sociodemographic, and other data.
ISSN:1473-3099
1474-4457
DOI:10.1016/S1473-3099(19)30751-0