Severe Acute Respiratory Syndrome Coronavirus 2 Delta Variant Genomic Variation Associated With Breakthrough Infection in Northern California: A Retrospective Cohort Study
Abstract Background The association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variation and breakthrough infection is not well defined among persons with Delta variant SARS-CoV-2 infection. Methods In a retrospective cohort, we assessed whether individual nonlineag...
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Veröffentlicht in: | The Journal of infectious diseases 2023-10, Vol.228 (7), p.878-888 |
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creator | Skarbinski, Jacek Nugent, Joshua R Wood, Mariah S Liu, Liyan Bullick, Teal Schapiro, Jeffrey M Arunleung, Phacharee Morales, Christina Amsden, Laura B Hsiao, Crystal A Wadford, Debra A Chai, Shua J Reingold, Arthur Wyman, Stacia K |
description | Abstract
Background
The association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variation and breakthrough infection is not well defined among persons with Delta variant SARS-CoV-2 infection.
Methods
In a retrospective cohort, we assessed whether individual nonlineage defining mutations and overall genomic variation (including low-frequency alleles) were associated with breakthrough infection, defined as SARS-CoV-2 infection after coronavirus disease 2019 primary vaccine series. We identified all nonsynonymous single-nucleotide polymorphisms, insertions, and deletions in SARS-CoV-2 genomes with ≥5% allelic frequency and population frequency of ≥5% and ≤95%. Using Poisson regression, we assessed the association with breakthrough infection for each individual mutation and a viral genomic risk score.
Results
Thirty-six mutations met our inclusion criteria. Among 12 744 persons infected with Delta variant SARS-CoV-2, 5949 (47%) were vaccinated and 6795 (53%) were unvaccinated. Viruses with a viral genomic risk score in the highest quintile were 9% more likely to be associated with breakthrough infection than viruses in the lowest quintile, but including the risk score improved overall predictive model performance (measured by C statistic) by only +0.0006.
Conclusions
Genomic variation within SARS-CoV-2 Delta variant was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.
Genomic variation within the Delta variant of SARS-CoV-2 was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2. |
doi_str_mv | 10.1093/infdis/jiad164 |
format | Article |
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Background
The association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variation and breakthrough infection is not well defined among persons with Delta variant SARS-CoV-2 infection.
Methods
In a retrospective cohort, we assessed whether individual nonlineage defining mutations and overall genomic variation (including low-frequency alleles) were associated with breakthrough infection, defined as SARS-CoV-2 infection after coronavirus disease 2019 primary vaccine series. We identified all nonsynonymous single-nucleotide polymorphisms, insertions, and deletions in SARS-CoV-2 genomes with ≥5% allelic frequency and population frequency of ≥5% and ≤95%. Using Poisson regression, we assessed the association with breakthrough infection for each individual mutation and a viral genomic risk score.
Results
Thirty-six mutations met our inclusion criteria. Among 12 744 persons infected with Delta variant SARS-CoV-2, 5949 (47%) were vaccinated and 6795 (53%) were unvaccinated. Viruses with a viral genomic risk score in the highest quintile were 9% more likely to be associated with breakthrough infection than viruses in the lowest quintile, but including the risk score improved overall predictive model performance (measured by C statistic) by only +0.0006.
Conclusions
Genomic variation within SARS-CoV-2 Delta variant was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.
Genomic variation within the Delta variant of SARS-CoV-2 was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.</description><identifier>ISSN: 0022-1899</identifier><identifier>EISSN: 1537-6613</identifier><identifier>DOI: 10.1093/infdis/jiad164</identifier><identifier>PMID: 37195913</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Breakthrough Infections ; California - epidemiology ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 Vaccines ; Gene frequency ; Genomics ; Humans ; Infections ; Mutation ; Prediction models ; Retrospective Studies ; SARS-CoV-2 - genetics ; Severe acute respiratory syndrome coronavirus 2 ; Single-nucleotide polymorphism ; Variation</subject><ispartof>The Journal of infectious diseases, 2023-10, Vol.228 (7), p.878-888</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-36c62bb0926961a7c9bfe93ac4e4b33b0b7f32988a1fcf51382173024507c04d3</citedby><cites>FETCH-LOGICAL-c397t-36c62bb0926961a7c9bfe93ac4e4b33b0b7f32988a1fcf51382173024507c04d3</cites><orcidid>0000-0003-1630-5733</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37195913$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Skarbinski, Jacek</creatorcontrib><creatorcontrib>Nugent, Joshua R</creatorcontrib><creatorcontrib>Wood, Mariah S</creatorcontrib><creatorcontrib>Liu, Liyan</creatorcontrib><creatorcontrib>Bullick, Teal</creatorcontrib><creatorcontrib>Schapiro, Jeffrey M</creatorcontrib><creatorcontrib>Arunleung, Phacharee</creatorcontrib><creatorcontrib>Morales, Christina</creatorcontrib><creatorcontrib>Amsden, Laura B</creatorcontrib><creatorcontrib>Hsiao, Crystal A</creatorcontrib><creatorcontrib>Wadford, Debra A</creatorcontrib><creatorcontrib>Chai, Shua J</creatorcontrib><creatorcontrib>Reingold, Arthur</creatorcontrib><creatorcontrib>Wyman, Stacia K</creatorcontrib><title>Severe Acute Respiratory Syndrome Coronavirus 2 Delta Variant Genomic Variation Associated With Breakthrough Infection in Northern California: A Retrospective Cohort Study</title><title>The Journal of infectious diseases</title><addtitle>J Infect Dis</addtitle><description>Abstract
Background
The association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variation and breakthrough infection is not well defined among persons with Delta variant SARS-CoV-2 infection.
Methods
In a retrospective cohort, we assessed whether individual nonlineage defining mutations and overall genomic variation (including low-frequency alleles) were associated with breakthrough infection, defined as SARS-CoV-2 infection after coronavirus disease 2019 primary vaccine series. We identified all nonsynonymous single-nucleotide polymorphisms, insertions, and deletions in SARS-CoV-2 genomes with ≥5% allelic frequency and population frequency of ≥5% and ≤95%. Using Poisson regression, we assessed the association with breakthrough infection for each individual mutation and a viral genomic risk score.
Results
Thirty-six mutations met our inclusion criteria. Among 12 744 persons infected with Delta variant SARS-CoV-2, 5949 (47%) were vaccinated and 6795 (53%) were unvaccinated. Viruses with a viral genomic risk score in the highest quintile were 9% more likely to be associated with breakthrough infection than viruses in the lowest quintile, but including the risk score improved overall predictive model performance (measured by C statistic) by only +0.0006.
Conclusions
Genomic variation within SARS-CoV-2 Delta variant was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.
Genomic variation within the Delta variant of SARS-CoV-2 was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.</description><subject>Breakthrough Infections</subject><subject>California - epidemiology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 Vaccines</subject><subject>Gene frequency</subject><subject>Genomics</subject><subject>Humans</subject><subject>Infections</subject><subject>Mutation</subject><subject>Prediction models</subject><subject>Retrospective Studies</subject><subject>SARS-CoV-2 - genetics</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Single-nucleotide polymorphism</subject><subject>Variation</subject><issn>0022-1899</issn><issn>1537-6613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0ctu1DAUBmALgei0sGWJLLGBRVpfkjhmNwylVKpAYrgsI8c5IR4SO_VlpHkmXpIMGViwYWVb-vz7WD9Czyi5pETyK2O71oSrnVEtLfMHaEULLrKypPwhWhHCWEYrKc_QeQg7QkjOS_EYnXFBZSEpX6GfW9iDB7zWKQL-BGEyXkXnD3h7sK13I-CN886qvfEpYIbfwhAV_qq8UTbiG7BuNHo5R-MsXofg9LyHFn8zscdvPKgfsfcufe_xre1A_2bG4g_Oxx68xRs1mM55a9RrvJ5niN6F6ej2x8f7meFtTO3hCXrUqSHA09N6gb68u_68eZ_dfby53azvMs2liBkvdcmahkhWypIqoWXTgeRK55A3nDekER1nsqoU7XRXUF4xKjhheUGEJnnLL9DLJXfy7j5BiPVogoZhUBZcCjWraMFyUTA60xf_0J1L3s7T1ZzklJSSVGJWl4vS88-Ch66evBmVP9SU1Mca66XG-lTjfOH5KTY1I7R_-Z_eZvBqAS5N_wv7Bdxbq20</recordid><startdate>20231003</startdate><enddate>20231003</enddate><creator>Skarbinski, Jacek</creator><creator>Nugent, Joshua R</creator><creator>Wood, Mariah S</creator><creator>Liu, Liyan</creator><creator>Bullick, Teal</creator><creator>Schapiro, Jeffrey M</creator><creator>Arunleung, Phacharee</creator><creator>Morales, Christina</creator><creator>Amsden, Laura B</creator><creator>Hsiao, Crystal A</creator><creator>Wadford, Debra A</creator><creator>Chai, Shua J</creator><creator>Reingold, Arthur</creator><creator>Wyman, Stacia K</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1630-5733</orcidid></search><sort><creationdate>20231003</creationdate><title>Severe Acute Respiratory Syndrome Coronavirus 2 Delta Variant Genomic Variation Associated With Breakthrough Infection in Northern California: A Retrospective Cohort Study</title><author>Skarbinski, Jacek ; Nugent, Joshua R ; Wood, Mariah S ; Liu, Liyan ; Bullick, Teal ; Schapiro, Jeffrey M ; Arunleung, Phacharee ; Morales, Christina ; Amsden, Laura B ; Hsiao, Crystal A ; Wadford, Debra A ; Chai, Shua J ; Reingold, Arthur ; Wyman, Stacia K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-36c62bb0926961a7c9bfe93ac4e4b33b0b7f32988a1fcf51382173024507c04d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Breakthrough Infections</topic><topic>California - epidemiology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 Vaccines</topic><topic>Gene frequency</topic><topic>Genomics</topic><topic>Humans</topic><topic>Infections</topic><topic>Mutation</topic><topic>Prediction models</topic><topic>Retrospective Studies</topic><topic>SARS-CoV-2 - genetics</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Single-nucleotide polymorphism</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skarbinski, Jacek</creatorcontrib><creatorcontrib>Nugent, Joshua R</creatorcontrib><creatorcontrib>Wood, Mariah S</creatorcontrib><creatorcontrib>Liu, Liyan</creatorcontrib><creatorcontrib>Bullick, Teal</creatorcontrib><creatorcontrib>Schapiro, Jeffrey M</creatorcontrib><creatorcontrib>Arunleung, Phacharee</creatorcontrib><creatorcontrib>Morales, Christina</creatorcontrib><creatorcontrib>Amsden, Laura B</creatorcontrib><creatorcontrib>Hsiao, Crystal A</creatorcontrib><creatorcontrib>Wadford, Debra A</creatorcontrib><creatorcontrib>Chai, Shua J</creatorcontrib><creatorcontrib>Reingold, Arthur</creatorcontrib><creatorcontrib>Wyman, Stacia K</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skarbinski, Jacek</au><au>Nugent, Joshua R</au><au>Wood, Mariah S</au><au>Liu, Liyan</au><au>Bullick, Teal</au><au>Schapiro, Jeffrey M</au><au>Arunleung, Phacharee</au><au>Morales, Christina</au><au>Amsden, Laura B</au><au>Hsiao, Crystal A</au><au>Wadford, Debra A</au><au>Chai, Shua J</au><au>Reingold, Arthur</au><au>Wyman, Stacia K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Severe Acute Respiratory Syndrome Coronavirus 2 Delta Variant Genomic Variation Associated With Breakthrough Infection in Northern California: A Retrospective Cohort Study</atitle><jtitle>The Journal of infectious diseases</jtitle><addtitle>J Infect Dis</addtitle><date>2023-10-03</date><risdate>2023</risdate><volume>228</volume><issue>7</issue><spage>878</spage><epage>888</epage><pages>878-888</pages><issn>0022-1899</issn><eissn>1537-6613</eissn><abstract>Abstract
Background
The association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic variation and breakthrough infection is not well defined among persons with Delta variant SARS-CoV-2 infection.
Methods
In a retrospective cohort, we assessed whether individual nonlineage defining mutations and overall genomic variation (including low-frequency alleles) were associated with breakthrough infection, defined as SARS-CoV-2 infection after coronavirus disease 2019 primary vaccine series. We identified all nonsynonymous single-nucleotide polymorphisms, insertions, and deletions in SARS-CoV-2 genomes with ≥5% allelic frequency and population frequency of ≥5% and ≤95%. Using Poisson regression, we assessed the association with breakthrough infection for each individual mutation and a viral genomic risk score.
Results
Thirty-six mutations met our inclusion criteria. Among 12 744 persons infected with Delta variant SARS-CoV-2, 5949 (47%) were vaccinated and 6795 (53%) were unvaccinated. Viruses with a viral genomic risk score in the highest quintile were 9% more likely to be associated with breakthrough infection than viruses in the lowest quintile, but including the risk score improved overall predictive model performance (measured by C statistic) by only +0.0006.
Conclusions
Genomic variation within SARS-CoV-2 Delta variant was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.
Genomic variation within the Delta variant of SARS-CoV-2 was weakly associated with breakthrough infection, but several potential nonlineage defining mutations were identified that might contribute to immune evasion by SARS-CoV-2.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>37195913</pmid><doi>10.1093/infdis/jiad164</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1630-5733</orcidid><oa>free_for_read</oa></addata></record> |
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source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Alma/SFX Local Collection |
subjects | Breakthrough Infections California - epidemiology Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 Vaccines Gene frequency Genomics Humans Infections Mutation Prediction models Retrospective Studies SARS-CoV-2 - genetics Severe acute respiratory syndrome coronavirus 2 Single-nucleotide polymorphism Variation |
title | Severe Acute Respiratory Syndrome Coronavirus 2 Delta Variant Genomic Variation Associated With Breakthrough Infection in Northern California: A Retrospective Cohort Study |
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