Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000200307 |
Resumo: | Abstract COVID-19 comprises clinical outcomes of SARS-CoV-2 infection and is highly heterogeneous, ranging from asymptomatic individuals to deceased young adults without comorbidities. There is growing evidence that host genetics play an important role in COVID-19 severity, including inborn errors of immunity, age-related inflammation and immunosenescence. Here we present a brief review on the known order of events from infection to severe system-wide disturbance due to COVID-19 and summarize potential candidate genes and pathways. Finally, we propose a strategy of subject’s ascertainment based on phenotypic extremes to take part in genomic studies and elucidate intrinsic risk factors involved in COVID-19 severe outcomes. |
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Genetics and Molecular Biology |
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Extreme phenotypes approach to investigate host genetics and COVID-19 outcomesCOVID-19host geneticsextreme phenotypesinfectious diseaseAbstract COVID-19 comprises clinical outcomes of SARS-CoV-2 infection and is highly heterogeneous, ranging from asymptomatic individuals to deceased young adults without comorbidities. There is growing evidence that host genetics play an important role in COVID-19 severity, including inborn errors of immunity, age-related inflammation and immunosenescence. Here we present a brief review on the known order of events from infection to severe system-wide disturbance due to COVID-19 and summarize potential candidate genes and pathways. Finally, we propose a strategy of subject’s ascertainment based on phenotypic extremes to take part in genomic studies and elucidate intrinsic risk factors involved in COVID-19 severe outcomes.Sociedade Brasileira de Genética2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000200307Genetics and Molecular Biology v.44 n.1 suppl.1 2021reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2020-0302info:eu-repo/semantics/openAccessNaslavsky,Michel SatyaVidigal,MateusMatos,Larissa do Rêgo BarrosCória,Vivian RomanholiBatista Junior,Pedro BeneditoRazuk,ÁlvaroSaldiva,Paulo Hilário NascimentoDolhnikoff,MarisaSchidlowski,LairePrando,CarolinaCunha-Neto,EdécioCondino-Neto,AntonioPassos-Bueno,Maria RitaZatz,Mayanaeng2021-02-26T00:00:00Zoai:scielo:S1415-47572021000200307Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2021-02-26T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
title |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
spellingShingle |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes Naslavsky,Michel Satya COVID-19 host genetics extreme phenotypes infectious disease |
title_short |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
title_full |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
title_fullStr |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
title_full_unstemmed |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
title_sort |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes |
author |
Naslavsky,Michel Satya |
author_facet |
Naslavsky,Michel Satya Vidigal,Mateus Matos,Larissa do Rêgo Barros Cória,Vivian Romanholi Batista Junior,Pedro Benedito Razuk,Álvaro Saldiva,Paulo Hilário Nascimento Dolhnikoff,Marisa Schidlowski,Laire Prando,Carolina Cunha-Neto,Edécio Condino-Neto,Antonio Passos-Bueno,Maria Rita Zatz,Mayana |
author_role |
author |
author2 |
Vidigal,Mateus Matos,Larissa do Rêgo Barros Cória,Vivian Romanholi Batista Junior,Pedro Benedito Razuk,Álvaro Saldiva,Paulo Hilário Nascimento Dolhnikoff,Marisa Schidlowski,Laire Prando,Carolina Cunha-Neto,Edécio Condino-Neto,Antonio Passos-Bueno,Maria Rita Zatz,Mayana |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Naslavsky,Michel Satya Vidigal,Mateus Matos,Larissa do Rêgo Barros Cória,Vivian Romanholi Batista Junior,Pedro Benedito Razuk,Álvaro Saldiva,Paulo Hilário Nascimento Dolhnikoff,Marisa Schidlowski,Laire Prando,Carolina Cunha-Neto,Edécio Condino-Neto,Antonio Passos-Bueno,Maria Rita Zatz,Mayana |
dc.subject.por.fl_str_mv |
COVID-19 host genetics extreme phenotypes infectious disease |
topic |
COVID-19 host genetics extreme phenotypes infectious disease |
description |
Abstract COVID-19 comprises clinical outcomes of SARS-CoV-2 infection and is highly heterogeneous, ranging from asymptomatic individuals to deceased young adults without comorbidities. There is growing evidence that host genetics play an important role in COVID-19 severity, including inborn errors of immunity, age-related inflammation and immunosenescence. Here we present a brief review on the known order of events from infection to severe system-wide disturbance due to COVID-19 and summarize potential candidate genes and pathways. Finally, we propose a strategy of subject’s ascertainment based on phenotypic extremes to take part in genomic studies and elucidate intrinsic risk factors involved in COVID-19 severe outcomes. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000200307 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000200307 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4685-gmb-2020-0302 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.44 n.1 suppl.1 2021 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122390211461120 |