Evidence map›Paper›PMID 34841243›Full record

ArticleInfection prevention in practice2021

Genetic epidemiology using whole genome sequencing and haplotype networks revealed the linkage of SARS-CoV-2 infection in nosocomial outbreak.

Fumihiro Ishikawa, Yuko Udaka, Hideto Oyamada, Keiko Ishino, Issei Tokimatsu, Hironori Sagara, Yuji Kiuchi

Abstract read
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Article in Infection prevention in practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fumihiro IshikawaPCR Centre for COVID-19, Showa University Hospital, Tokyo, Japan.
Yuko UdakaPCR Centre for COVID-19, Showa University Hospital, Tokyo, Japan.
Hideto OyamadaPCR Centre for COVID-19, Showa University Hospital, Tokyo, Japan.
Keiko IshinoPCR Centre for COVID-19, Showa University Hospital, Tokyo, Japan.
Issei TokimatsuDivision of Infectious Diseases, Department of Internal Medicine, Showa University School of Medicine, Tokyo, Japan.
Hironori SagaraDivision of Respiratory Medicine and Allergology, Department of Internal Medicine, Showa University School of Medicine, Tokyo, Japan.
Yuji KiuchiPCR Centre for COVID-19, Showa University Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA characteristic feature of SARS-CoV-2 is its ability to transmit from pre- or asymptomatic patients, complicating the tracing of infection pathways and causing outbreaks. Despite several reports that whole genome sequencing (WGS) and haplotype networks are useful for epidemiologic analysis, little is known about their use in nosocomial infections.

aimWe aimed to demonstrate the advantages of genetic epidemiology in identifying the link in nosocomial infection by comparing single nucleotide variations (SNVs) of isolates from patients associated with an outbreak in Showa University Hospital.

methodsWe used specimens from 32 patients in whom COVID-19 had been diagnosed using clinical reverse transcription-polymerase chain reaction tests. RNA of SARS-CoV-2 from specimens was reverse-transcribed and analysed using WGS. SNVs were extracted and used for lineage determination, phylogenetic tree analysis, and median-joining analysis.

findingsThe lineage of SARS-CoV-2 that was associated with outbreak in Showa University Hospital was B.1.1.214, which was consistent with that found in the Kanto metropolitan area during the same period. Consistent with canonical epidemiological observations, haplotype network analysis was successful for the classification of patients. Additionally, phylogenetic tree analysis revealed three independent introductions of the virus into the hospital during the outbreak. Further, median-joining analysis indicated that four patients were directly infected by any of the others in the same cluster.

conclusionGenetic epidemiology with WGS and haplotype networks is useful for tracing transmission and optimizing prevention strategies in nosocomial outbreaks.

Indexed as

COVID-19, coronavirus disease 2019Epidemiological analysisGISAID, Global Initiative on Sharing All Influenza DataHaplotype networksKMA, Kanto metropolitan areaNJ, neighbour-joiningPhylogenetic tree analysisRT-PCR, reverse transcription-polymerase chain reactionSARS-CoV-2, severe acute respiratory syndrome coronavirus 2Severe acute respiratory syndrome coronavirus 2SNVs, single nucleotide variationsSUH, Showa University HospitalVOC, variant of concernWGS, whole genome sequencingWhole genome sequencing

Identifiers

PMID34841243
PMCPMC8611819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.