Retrospective validation of whole genome sequencing-enhanced surveillance of listeriosis in Europe, 2010 to 2015

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027162%3A_____%2F18%3AN0000260" target="_blank" >RIV/00027162:_____/18:N0000260 - isvavai.cz</a>

Result on the web

<a href="https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2018.23.33.1700798" target="_blank" >https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2018.23.33.1700798</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2807/1560-7917.ES.2018.23.33.1700798" target="_blank" >10.2807/1560-7917.ES.2018.23.33.1700798</a>

Result language

angličtina

Original language name

Retrospective validation of whole genome sequencing-enhanced surveillance of listeriosis in Europe, 2010 to 2015

Original language description

The trend in reported case counts of invasive Listeria monocytogenes (Lm), a potentially severe food-borne disease, has been increasing since 2008. In 2015, 2,224 cases were reported in the European Union/European Economic Area (EU/ EEA). We aimed to validate the microbiological and epidemiological aspects of an envisaged EU/EEAwide surveillance system enhanced by routine whole genome sequencing (WGS). Methods: WGS and core genome multilocus sequence typing (cgMLST) were performed on isolates from 2,726 cases from 27 EU/ EEA countries from 2010–15. Results: Quality controls for contamination, mixed Lm cultures and sequence quality classified nearly all isolates with a minimum average coverage of the genome of 55x as acceptable for analysis. Assessment of the cgMLST variation between six different pipelines revealed slightly less variation associated with assembly-based analysis compared to reads-based analysis. Epidemiological concordance, based on 152 isolates from 19 confirmed outbreaks and a cluster cutoff of seven allelic differences, was good (sensitivity > 95% for two cgMLST schemes of 1,748 and 1,701 loci each; PPV 58–68%). The proportion of sporadic cases was slightly below 50%. Of remaining isolates, around one third were in clusters involving more than one country, often spanning several years. Detection of multi-country clusters was on average several months earlier when pooling the data at EU/EEA level, compared with first detection at national level. Conclusions: These findings provide a good basis for comprehensive EU/EEA-wide, WGS-enhanced surveillance of listeriosis. Time limits should not be used for hypothesis generation during outbreak investigations, but should be for analytical studies.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30303 - Infectious Diseases

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Eurosurveillance

ISSN

1560-7917

e-ISSN

—

Volume of the periodical

23

Issue of the periodical within the volume

13

Country of publishing house

SE - SWEDEN

Number of pages

11

Pages from-to

14-24

UT code for WoS article

000441775300002

EID of the result in the Scopus database

—