Mumps virus F gene and HN gene sequencing as a molecular tool to study mumps virus transmission

Gouma, Sigrid; Cremer, Jeroen; Parkkali, Saara; Veldhuijzen, Irene; Binnendijk, Rob van

doi:10.1016/j.meegid.2016.08.033

Cited by 24 publications

(36 citation statements)

References 13 publications

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“…At the end of 2009, large mumps outbreaks started in the Netherlands and continued for 3 years, followed by some years with smaller and more local mumps outbreaks [1,2]. Most of the patients were young adults who had received 2 measles, mumps, and rubella (MMR) vaccinations during childhood at 14 months and 9 years of age, according to the Dutch national immunization program [3,4].…”

Section: Introductionmentioning

confidence: 99%

Mumps-specific cross-neutralization by MMR vaccine-induced antibodies predicts protection against mumps virus infection

Gouma

Hulscher

Klooster

et al. 2016

Vaccine

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Section: Introductionmentioning

confidence: 99%

Mumps-specific cross-neutralization by MMR vaccine-induced antibodies predicts protection against mumps virus infection

Gouma

Hulscher

Klooster

et al. 2016

Vaccine

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“…Nevertheless an earlier study [33] showed that the SH gene alone did not provide sufficient resolution for finding transmission clusters, whereas the combination of the three genes did. Since we aim to find transmission clusters here, including only sequenced samples of the SH gene was not an option.…”

Section: Discussionmentioning

confidence: 91%

“…In addition to the NEWC reports, clusters 2 and 3 are described in references [33] and [32], respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The third required factor consists of the sequences of the small hydrophobic (SH) gene (316 bp), the haemagglutinin/neuraminidase (HN) gene (1,749 bp), and the fusion (F) gene (1,617 bp). Sequences of these three genes are used in combination to distinguish between different mumps genotypes [35], and clusters within genotype G [33]. Since the algorithm that we use is only able to handle cases with data on all three dimensions, cases with missing data on one of the three required factors are excluded from our analysis.…”

Section: Datamentioning

confidence: 99%

“…To apply and assess the tools that we develop, we use mumps notification and sequence data reported between 2009 and mid-2016 in the Netherlands. We specifically chose mumps in the Netherlands as it has been intensively studied over the past few years, with comprehensive documentation available [28][29][30][31][32][33]. In the Netherlands, mumps is a notifiable disease and symptomatic cases are reported to the MHS by physicians and/or laboratories.…”

Section: Introductionmentioning

confidence: 99%

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Visual tools to assess the plausibility of algorithm-identified infectious disease clusters: an application to mumps data from the Netherlands dating from January 2009 to June 2016

et al. 2019

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Introduction With growing amounts of data available, identification of clusters of persons linked to each other by transmission of an infectious disease increasingly relies on automated algorithms. We propose cluster finding to be a two-step process: first, possible transmission clusters are identified using a cluster algorithm, second, the plausibility that the identified clusters represent genuine transmission clusters is evaluated. Aim To introduce visual tools to assess automatically identified clusters. Methods We developed tools to visualise: (i) clusters found in dimensions of time, geographical location and genetic data; (ii) nested sub-clusters within identified clusters; (iii) intra-cluster pairwise dissimilarities per dimension; (iv) intra-cluster correlation between dimensions. We applied our tools to notified mumps cases in the Netherlands with available disease onset date (January 2009 – June 2016), geographical information (location of residence), and pathogen sequence data (n = 112). We compared identified clusters to clusters reported by the Netherlands Early Warning Committee (NEWC). Results We identified five mumps clusters. Three clusters were considered plausible. One was questionable because, in phylogenetic analysis, genetic sequences related to it segregated in two groups. One was implausible with no smaller nested clusters, high intra-cluster dissimilarities on all dimensions, and low intra-cluster correlation between dimensions. The NEWC reports concurred with our findings: the plausible/questionable clusters corresponded to reported outbreaks; the implausible cluster did not. Conclusion Our tools for assessing automatically identified clusters allow outbreak investigators to rapidly spot plausible transmission clusters for mumps and other human-to-human transmissible diseases. This fast information processing potentially reduces workload.

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Mumps Virus

Maldonado¹,

Shetty²

2023

Principles and Practice of Pediatric Infectious Diseases

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Mumps virus F gene and HN gene sequencing as a molecular tool to study mumps virus transmission

Cited by 24 publications

References 13 publications

Mumps-specific cross-neutralization by MMR vaccine-induced antibodies predicts protection against mumps virus infection

Mumps-specific cross-neutralization by MMR vaccine-induced antibodies predicts protection against mumps virus infection

Visual tools to assess the plausibility of algorithm-identified infectious disease clusters: an application to mumps data from the Netherlands dating from January 2009 to June 2016

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