Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant

Infants (under 1-year-old) are at most risk of life threatening respiratory syncytial virus (RSV) disease. RSV epidemiological data alone has been insufficient in defining who acquires infection from whom (WAIFW) within households. We investigated RSV genomic variation within and between infected in...

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Egile Nagusiak: Agoti, CN, Phan, MVT, Munywoki, PK, Githinji, G, Medley, GF, Cane, PA, Kellam, P, Cotten, M, Nokes, DJ
Formatua: Journal article
Hizkuntza:English
Argitaratua: Springer Nature 2019
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author Agoti, CN
Phan, MVT
Munywoki, PK
Githinji, G
Medley, GF
Cane, PA
Kellam, P
Cotten, M
Nokes, DJ
author_facet Agoti, CN
Phan, MVT
Munywoki, PK
Githinji, G
Medley, GF
Cane, PA
Kellam, P
Cotten, M
Nokes, DJ
author_sort Agoti, CN
collection OXFORD
description Infants (under 1-year-old) are at most risk of life threatening respiratory syncytial virus (RSV) disease. RSV epidemiological data alone has been insufficient in defining who acquires infection from whom (WAIFW) within households. We investigated RSV genomic variation within and between infected individuals and assessed its potential utility in tracking transmission in households. Over an entire single RSV season in coastal Kenya, nasal swabs were collected from members of 20 households every 3-4 days regardless of symptom status and screened for RSV nucleic acid. Next generation sequencing was used to generate >90% RSV full-length genomes for 51.1% of positive samples (191/374). Single nucleotide polymorphisms (SNPs) observed during household infection outbreaks ranged from 0-21 (median: 3) while SNPs observed during single-host infection episodes ranged from 0-17 (median: 1). Using the viral genomic data alone there was insufficient resolution to fully reconstruct within-household transmission chains. For households with clear index cases, the most likely source of infant infection was via a toddler (aged 1 to <3 years-old) or school-aged (aged 6 to <12 years-old) co-occupant. However, for best resolution of WAIFW within households, we suggest an integrated analysis of RSV genomic and epidemiological data.
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spelling oxford-uuid:7a65837e-2cc3-423c-9c19-e00ffd66301d2022-03-26T20:43:52ZGenomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infantJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7a65837e-2cc3-423c-9c19-e00ffd66301dEnglishSymplectic ElementsSpringer Nature2019Agoti, CNPhan, MVTMunywoki, PKGithinji, GMedley, GFCane, PAKellam, PCotten, MNokes, DJInfants (under 1-year-old) are at most risk of life threatening respiratory syncytial virus (RSV) disease. RSV epidemiological data alone has been insufficient in defining who acquires infection from whom (WAIFW) within households. We investigated RSV genomic variation within and between infected individuals and assessed its potential utility in tracking transmission in households. Over an entire single RSV season in coastal Kenya, nasal swabs were collected from members of 20 households every 3-4 days regardless of symptom status and screened for RSV nucleic acid. Next generation sequencing was used to generate >90% RSV full-length genomes for 51.1% of positive samples (191/374). Single nucleotide polymorphisms (SNPs) observed during household infection outbreaks ranged from 0-21 (median: 3) while SNPs observed during single-host infection episodes ranged from 0-17 (median: 1). Using the viral genomic data alone there was insufficient resolution to fully reconstruct within-household transmission chains. For households with clear index cases, the most likely source of infant infection was via a toddler (aged 1 to <3 years-old) or school-aged (aged 6 to <12 years-old) co-occupant. However, for best resolution of WAIFW within households, we suggest an integrated analysis of RSV genomic and epidemiological data.
spellingShingle Agoti, CN
Phan, MVT
Munywoki, PK
Githinji, G
Medley, GF
Cane, PA
Kellam, P
Cotten, M
Nokes, DJ
Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title_full Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title_fullStr Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title_full_unstemmed Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title_short Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
title_sort genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
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