Evidence map›Paper›PMID 42908632›Full record

ArticleFrontiers in medicine2026

Exploratory analysis of innate immune gene polymorphisms and COVID-19 in-hospital mortality in a large admixed Brazilian cohort.

Mariene Ribeiro Amorim, Tania Regina Tozetto-Mendoza, Mariane Pereira Brito, Vanessa Cássia Raymundi, Rafaella Medina-Neves, Iara Moreno Linhares, Alvina Clara Felix, Layla Honorato, Noely Ferreira, Laura Sampaio Azevedo and 5 more

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Mariene Ribeiro AmorimFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Tania Regina Tozetto-MendozaFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Mariane Pereira BritoFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Vanessa Cássia RaymundiFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Rafaella Medina-NevesFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Iara Moreno LinharesDepartment of Obstetrics and Gynecology, Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Alvina Clara FelixFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Layla HonoratoFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Noely FerreiraFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Laura Sampaio AzevedoFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Carlos R R CarvalhoFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Emanuelle Leonília MarquesFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Antonio Charlys Da-CostaFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Maria Cassia Mendes CorreaFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.
Steven S WitkinFaculty of Medicine, Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 in-hospital mortality varies substantially among patients, suggesting a role for host genetic factors beyond established clinical risk predictors. Methods: This case-control study investigated the association of the candidate SNPs rs2241880 ( Results: Deceased patients were significantly older, more frequently male, and had a higher comorbidity burden. In the Firth penalized model, male sex [exp( Discussion: These exploratory findings suggest that innate immune pathways, including autophagy, antiviral restriction, and complement activation, may contribute to COVID-19 mortality risk in the highly admixed Brazilian population and underscore the importance of conducting genetic studies in populations currently underrepresented in global genomic databases. Replication in larger, multi-ancestry cohorts with matched clinical endpoints is warranted to confirm or refute these signals.

Indexed as

ATG16L1COVID-19IFITM3innate immunityMBL-2NLRP3SARS-CoV-2single-nucleotide polymorphisms

Identifiers

PMID42908632
PMCPMC13683161

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.