Literature DB >> 33811212

Genetic variability in COVID-19-related genes in the Brazilian population.

Rodrigo Secolin1, Tânia K de Araujo1, Marina C Gonsales1, Cristiane S Rocha1, Michel Naslavsky2, Luiz De Marco3, Maria A C Bicalho4, Vinicius L Vazquez5, Mayana Zatz2, Wilson A Silva6, Iscia Lopes-Cendes7.   

Abstract

SARS-CoV-2 utilizes the angiotensin-converting enzyme 2 (ACE2) receptor and transmembrane serine protease (TMPRSS2) to infect human lung cells. Previous studies have suggested that different host ACE2 and TMPRSS2 genetic backgrounds might contribute to differences in the rate of SARS-CoV-2 infection or COVID-19 severity. Recent studies have also shown that variants in 15 genes related to type I interferon immunity to influenza virus might predispose patients toward life-threatening COVID-19 pneumonia. Other genes (SLC6A20, LZTFL1, CCR9, FYCO1, CXCR6, XCR1, IL6, CTSL, ABO, and FURIN) and HLA alleles have also been implicated in the response to infection with SARS-CoV-2. Currently, Brazil has recorded the third-highest number of COVID-19 cases worldwide. We aimed to investigate the genetic variation present in COVID-19-related genes in the Brazilian population. We analyzed 27 candidate genes and HLA alleles in 954 admixed Brazilian exomes. We used the information available in two public databases ( http://www.bipmed.org and http://abraom.ib.usp.br/ ) and additional exomes from individuals born in southeast Brazil, the region of the country with the highest number of COVID-19 patients. Variant allele frequencies were compared with the 1000 Genomes Project phase 3 (1KGP) and gnomAD databases. We detected 395 nonsynonymous variants; of these, 325 were also found in the 1KGP and/or gnomAD. Six of these variants were previously reported to influence the rate of infection or clinical prognosis of COVID-19. The remaining 70 variants were identified exclusively in the Brazilian sample, with a mean allele frequency of 0.0025. In silico analysis revealed that seven of these variants are predicted to affect protein function. Furthermore, we identified HLA alleles previously associated with the COVID-19 response at loci DQB1 and DRB1. Our results showed genetic variability common to other populations and rare and ultrarare variants exclusively found in the Brazilian population. These findings might lead to differences in the rate of infection or response to infection by SARS-CoV-2 and should be further investigated in patients with this disease.

Year:  2021        PMID: 33811212      PMCID: PMC8017521          DOI: 10.1038/s41439-021-00146-w

Source DB:  PubMed          Journal:  Hum Genome Var        ISSN: 2054-345X


  62 in total

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Journal:  Nat Rev Genet       Date:  2012-01-18       Impact factor: 53.242

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Authors:  Fabien G Lafaille; Oliver Harschnitz; Yoon Seung Lee; Peng Zhang; Mary L Hasek; Gaspard Kerner; Yuval Itan; Osefame Ewaleifoh; Franck Rapaport; Thomas M Carlile; Madalina E Carter-Timofte; Dominik Paquet; Kerry Dobbs; Bastian Zimmer; Daxing Gao; Maria F Rojas-Duran; Dylan Kwart; Vimel Rattina; Michael J Ciancanelli; Jessica L McAlpine; Lazaro Lorenzo; Soraya Boucherit; Flore Rozenberg; Rabih Halwani; Benoit Henry; Naima Amenzoui; Zobaida Alsum; Laura Marques; Joseph A Church; Saleh Al-Muhsen; Marc Tardieu; Ahmed Aziz Bousfiha; Søren R Paludan; Trine Hyrup Mogensen; Lluis Quintana-Murci; Marc Tessier-Lavigne; Gregory A Smith; Luigi D Notarangelo; Lorenz Studer; Wendy Gilbert; Laurent Abel; Jean-Laurent Casanova; Shen-Ying Zhang
Journal:  Nat Med       Date:  2019-12-05       Impact factor: 53.440

3.  New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis.

Authors:  Yuan Hou; Junfei Zhao; William Martin; Asha Kallianpur; Mina K Chung; Lara Jehi; Nima Sharifi; Serpil Erzurum; Charis Eng; Feixiong Cheng
Journal:  BMC Med       Date:  2020-07-15       Impact factor: 8.775

4.  A Multibasic Cleavage Site in the Spike Protein of SARS-CoV-2 Is Essential for Infection of Human Lung Cells.

Authors:  Markus Hoffmann; Hannah Kleine-Weber; Stefan Pöhlmann
Journal:  Mol Cell       Date:  2020-05-01       Impact factor: 17.970

5.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

6.  Ancestry variation and footprints of natural selection along the genome in Latin American populations.

Authors:  Lian Deng; Andrés Ruiz-Linares; Shuhua Xu; Sijia Wang
Journal:  Sci Rep       Date:  2016-02-18       Impact factor: 4.379

7.  Distribution of HLA allele frequencies in 82 Chinese individuals with coronavirus disease-2019 (COVID-19).

Authors:  Wei Wang; Wei Zhang; Jingjing Zhang; Ji He; Faming Zhu
Journal:  HLA       Date:  2020-06-02       Impact factor: 8.762

8.  COVID-19 infection: the perspectives on immune responses.

Authors:  Yufang Shi; Ying Wang; Changshun Shao; Jianan Huang; Jianhe Gan; Xiaoping Huang; Enrico Bucci; Mauro Piacentini; Giuseppe Ippolito; Gerry Melino
Journal:  Cell Death Differ       Date:  2020-03-23       Impact factor: 15.828

9.  Cell entry mechanisms of SARS-CoV-2.

Authors:  Jian Shang; Yushun Wan; Chuming Luo; Gang Ye; Qibin Geng; Ashley Auerbach; Fang Li
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-06       Impact factor: 11.205

Review 10.  The pathogenesis and treatment of the `Cytokine Storm' in COVID-19.

Authors:  Qing Ye; Bili Wang; Jianhua Mao
Journal:  J Infect       Date:  2020-04-10       Impact factor: 38.637

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