<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Martinez-Gomez LE</submitter><funding>Consejo Nacional de Ciencia y Tecnología</funding><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Serine proteases play a critical role during SARS-CoV-2 infection. Therefore, polymorphisms of transmembrane protease serine 2 (&lt;i>TMPRSS2&lt;/i>) and serpine family E member 1 (&lt;i>SERPINE1&lt;/i>) could help to elucidate the contribution of variability to COVID-19 outcomes.&lt;h4>Methods&lt;/h4>To evaluate the genetic variants of the genes previously associated with COVID-19 outcomes, we performed a cross-sectional study in which 1536 SARS-CoV-2-positive participants were enrolled. &lt;i>TMPRSS2&lt;/i> (rs2070788, rs75603675, rs12329760) and &lt;i>SERPINE1&lt;/i> (rs2227631, rs2227667, rs2070682, rs2227692) were genotyped using the Open Array Platform. The association of polymorphisms with disease outcomes was determined by logistic regression analysis adjusted for covariates (age, sex, hype</pubmed_abstract><journal>Frontiers in immunology</journal><pagination>1335963</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11004237</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.</pubmed_title><pmcid>PMC11004237</pmcid><pubmed_authors>Martinez-Cuazitl A</pubmed_authors><pubmed_authors>Rodriguez-Perez JM</pubmed_authors><pubmed_authors>Martinez-Ruiz FJ</pubmed_authors><pubmed_authors>Olea-Torres J</pubmed_authors><pubmed_authors>Vargas-Alarcon G</pubmed_authors><pubmed_authors>Suarez-Ahedo C</pubmed_authors><pubmed_authors>Pineda C</pubmed_authors><pubmed_authors>Posadas-Sanchez R</pubmed_authors><pubmed_authors>Martinez-Armenta C</pubmed_authors><pubmed_authors>Vazquez-Cardenas P</pubmed_authors><pubmed_authors>Gomez-Martin D</pubmed_authors><pubmed_authors>Segura-Kato Y</pubmed_authors><pubmed_authors>de la Pena A</pubmed_authors><pubmed_authors>Vazquez-Zapien GJ</pubmed_authors><pubmed_authors>Vidal-Vazquez RP</pubmed_authors><pubmed_authors>Ramos-Tavera L</pubmed_authors><pubmed_authors>Martinez-Gomez LE</pubmed_authors><pubmed_authors>Zayago-Angeles DM</pubmed_authors><pubmed_authors>Tusie-Luna T</pubmed_authors><pubmed_authors>Camacho-Rea MDC</pubmed_authors><pubmed_authors>Mata-Miranda MM</pubmed_authors><pubmed_authors>Herrera-Lopez B</pubmed_authors><pubmed_authors>Ordonez-Sanchez ML</pubmed_authors><pubmed_authors>Martinez-Nava GA</pubmed_authors><pubmed_authors>Fragoso JM</pubmed_authors><pubmed_authors>Ramirez-Hinojosa JP</pubmed_authors><pubmed_authors>Lopez-Reyes A</pubmed_authors><pubmed_authors>Mendez-Aguilera A</pubmed_authors></additional><is_claimable>false</is_claimable><name>The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes.</name><description>&lt;h4>Introduction&lt;/h4>Serine proteases play a critical role during SARS-CoV-2 infection. Therefore, polymorphisms of transmembrane protease serine 2 (&lt;i>TMPRSS2&lt;/i>) and serpine family E member 1 (&lt;i>SERPINE1&lt;/i>) could help to elucidate the contribution of variability to COVID-19 outcomes.&lt;h4>Methods&lt;/h4>To evaluate the genetic variants of the genes previously associated with COVID-19 outcomes, we performed a cross-sectional study in which 1536 SARS-CoV-2-positive participants were enrolled. &lt;i>TMPRSS2&lt;/i> (rs2070788, rs75603675, rs12329760) and &lt;i>SERPINE1&lt;/i> (rs2227631, rs2227667, rs2070682, rs2227692) were genotyped using the Open Array Platform. The association of polymorphisms with disease outcomes was determined by logistic regression analysis adjusted for covariates (age, sex, hype</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024</publication><modification>2026-05-29T12:40:02.034Z</modification><creation>2024-11-19T19:41:53.128Z</creation></dates><accession>S-EPMC11004237</accession><cross_references><pubmed>38601158</pubmed><doi>10.3389/fimmu.2024.1335963</doi></cross_references></HashMap>