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Combinatorial analysis of ACE and ACE2 polymorphisms reveals protection against COVID-19 worsening: A genetic association study in Brazilian patients.

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Title: Combinatorial analysis of ACE and ACE2 polymorphisms reveals protection against COVID-19 worsening: A genetic association study in Brazilian patients.
Authors: Sousa RBN; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Nascimento LRSD; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Costa LHA; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Leite VRMC; Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Borges CL; Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Deus JM; Department of Gynecology and Obstetrics, Federal University of Goiás, Goiânia, Goiás, Brazil., Rebelo ACS; Department of Morphology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Pinheiro DDS; Laboratory of Clinical Analysis and Health Education, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil., Pedrino GR; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.
Source: PloS one [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0288178. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Combinatorial analysis of ACE and ACE2 polymorphisms reveals protection against COVID-19 worsening: A genetic association study in Brazilian patients.
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  Data: <searchLink fieldCode="AU" term="%22Sousa+RBN%22">Sousa RBN</searchLink>; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Nascimento+LRSD%22">Nascimento LRSD</searchLink>; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Costa+LHA%22">Costa LHA</searchLink>; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Leite+VRMC%22">Leite VRMC</searchLink>; Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Borges+CL%22">Borges CL</searchLink>; Laboratory of Molecular Biology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Deus+JM%22">Deus JM</searchLink>; Department of Gynecology and Obstetrics, Federal University of Goiás, Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Rebelo+ACS%22">Rebelo ACS</searchLink>; Department of Morphology, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Pinheiro+DDS%22">Pinheiro DDS</searchLink>; Laboratory of Clinical Analysis and Health Education, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.<br /><searchLink fieldCode="AU" term="%22Pedrino+GR%22">Pedrino GR</searchLink>; Department of Physiological Sciences, Institute of Biological Sciences, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0288178. <i>Date of Electronic Publication: </i>2023 Nov 30 (<i>Print Publication: </i>2023).
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
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