Literature DB >> 34221375

Genes, COVID-19 and phenotype.

Hassan Izzedine1, Kenar D Jhaveri2, Mark A Perazella3.   

Abstract

Entities:  

Year:  2021        PMID: 34221375      PMCID: PMC7928999          DOI: 10.1093/ckj/sfab044

Source DB:  PubMed          Journal:  Clin Kidney J        ISSN: 2048-8505


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The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19) has caused worldwide devastation. Pre-existing comorbidities greatly influence COVID-19 severity and mortality rates in various populations [1], raising interest in the association between the underlying genetic component of comorbidities and COVID-19 and the opportunity to link host genomic factors to the highly variable clinical manifestations of SARS-CoV-2 infection, with the aim of translating these findings into improved patient care. Recently, a 3p21.31 gene cluster as a genetic susceptibility locus in patients in parts of Italy and Spain with COVID-19 with respiratory failure was identified [2] and confirmed a potential involvement of the ABO (A, B, O antigens) blood group system [1], adding a piece to the nascent genetic knowledge of SARS-CoV-2 [3]. Genomic distribution varies by geography. COVID-19 infection is strangely—and tragically—selective. Most patients with COVID-19 exhibit no or mild to moderate symptoms, but ∼15% progress to severe pneumonia and ∼5% eventually develop acute respiratory distress syndrome, septic shock and multiple organ failure [4]. Although most of the critically ill are elderly and have comorbid diseases, some killed by the disease are previously young and healthy. Furthermore, the mortality rates related to COVID-19 vary among countries, generally known to be significantly higher in European and North American countries than in Asian or African countries [5]. We reviewed and summarize the literature on associations between specific genetic loci or genes, which may well differ based on their geographic distribution, and COVID-19 (Table 1) [2, 4, 6–24].
Table 1.

Associations between human genes and COVID-19 [2, 4, 6–24]

Population involvedPredominant genetic association/loci(OMIM; loci; chromosome location)COVID-19 association
African descentACE1 (106 180, 17q23.3), DD genotypeAcute respiratory distress syndrome
ACE2 (300 335, p. Arg514-Gly, Xp22.2)Cardiovascular and pulmonary conditions
ApoE (107 741; rs429358-C-C; 19q13.32)4-fold increase in disease mortality. Comorbid risk factors (atherosclerosis and HTN)
ApoL1 (603 743; 22q12.3)COVIDANFocal segmental glomerulosclerosisSusceptibility to non-diabetic end-stage renal disease
G1 haplotype (c.1024A>G; p.Ser342Gly)
G2 variant (c.1164_1169del; p.Asn388_Tyr389del)
Common variable ion channels
(p.Asp85Asn-KCNE1; 21q22.12)Increased risk of DI-LQTS, DI-TdP and DI-SCD
(p.Ser1103Tyr-SCN5A; 3p22.2)Hypoxia/acidosis and increased risk of VA and SCD
HLA class I (142 800; 6p22.1)
HLA A02:01; A11:01Increased risk for SARS-CoV-2 infection and fatality rates, respectively
HLA B15:03Cross-protective T cell–based immunity
Asian descentACE1 (106 180; 17q23.3), II genotypeHigher SARS-CoV-2 infection prevalence and mortality rate
ApoE (107 741; rs429358-C-C; 19q13.32)4-fold increase in disease mortality. Comorbid risk factors (atherosclerosis, HTN)
HLA class I (142 800; 6p22.1)
HLA A02:01; A11:01Increased risk for SARS-CoV-2 infection and fatality rates, respectively
HLA B46:01Vulnerable to disease. Appear to be linked to olfactory receptor gene
IFITM3 (605 579; rs12252-C/C; 11p15.5)Mild to moderate disease requiring hospitalization
IFIH1 (606 951; rs1 990 760 (C>T, aaA946T); 2q24.2)

Lower risk of SARS-CoV-2 infection and more resistant to SARS- CoV-2 infection

Autoimmune diseases (type 1 diabetes, lupus erythematosus and vitiligo)

TLR7 (300 365; g.12 905 756_12 905 759del and g.12 906 010G>T; Xp22.2)Severe disease
European descentBlood group A (616 093; rs657 152A or C SNP; 9q34.2)Severe COVID-19 disease (respiratory failure) than in other blood groups
ACE1 (106 180; 17q23.3), DD genotypeAcute respiratory distress syndrome
ApoE (107 741; rs429 358-C-C; 19q13.32)4-fold increase in disease mortality. Comorbid risk factors (atherosclerosis, HTN)
DBP gene (rs7041 and rs4588)

rs7041 locus, GT genotype: higher prevalence and mortality rates

rs7041 locus, TT genotype: lower prevalence and mortality rates

rs4588 locus: no significant correlation

HLA class I (142 800; 6p22.1), HLA C12:03
IFIH1 (606 951; rs1 990 760 (C>T, aaA946T); 2q24.2)

Lower risk of SARS-CoV-2 infection and more resistant to SARS- CoV-2 infection

Autoimmune diseases (T1D, LE and vitiligo)

TMPRSS2 (602 060; p.Val160Met (rs12 329 760); 21q22.3)Increased susceptibility to disease and for risk factors, e.g. cancer and high-risk group of male patientsa

Polymorphisms including p.Val160Met (rs12329760) in TMPRSS2 offer potential explanations for differential genetic susceptibility to COVID-19 as well as for risk factors, including those with cancer and the high-risk group of male patients [11].

OMIM, Online Mendelian Inheritance in Man; ACE2, angiotensin-converting enzyme 2; AGT, angiotensinogen; APOE, apolipoprotein E; HLA: human leukocyte antigen; IFITM3, interferon-induced transmembrane protein 3; IL-10, interleukin-10; MHC, major histocompatibility complex; COVIDAN, COVID-associated nephropathy; TLR7, toll-like receptor 7; TMEM189, transmembrane protein 189; UBE2V1, ubiquitin-conjugating enzyme E2 variant 1; TMPRSS2, the transmembrane protease serine 2; IFIH1, interferon-induced helicase 1; MDA5, melanoma differentiation-associated protein 5; VA, ventricular arrhythmia; SCD, sudden cardiac death; T1D, type 1 diabetes; LE, lupus erythematosus; HTN, hypertension; DI-LQTS, drug-induced long QT syndrome; DI-TdP, drug-induced torsades de pointes; DI-SCD, drug-induced sudden cardiac death.

Associations between human genes and COVID-19 [2, 4, 6–24] Lower risk of SARS-CoV-2 infection and more resistant to SARS- CoV-2 infection Autoimmune diseases (type 1 diabetes, lupus erythematosus and vitiligo) rs7041 locus, GT genotype: higher prevalence and mortality rates rs7041 locus, TT genotype: lower prevalence and mortality rates rs4588 locus: no significant correlation Lower risk of SARS-CoV-2 infection and more resistant to SARS- CoV-2 infection Autoimmune diseases (T1D, LE and vitiligo) Polymorphisms including p.Val160Met (rs12329760) in TMPRSS2 offer potential explanations for differential genetic susceptibility to COVID-19 as well as for risk factors, including those with cancer and the high-risk group of male patients [11]. OMIM, Online Mendelian Inheritance in Man; ACE2, angiotensin-converting enzyme 2; AGT, angiotensinogen; APOE, apolipoprotein E; HLA: human leukocyte antigen; IFITM3, interferon-induced transmembrane protein 3; IL-10, interleukin-10; MHC, major histocompatibility complex; COVIDAN, COVID-associated nephropathy; TLR7, toll-like receptor 7; TMEM189, transmembrane protein 189; UBE2V1, ubiquitin-conjugating enzyme E2 variant 1; TMPRSS2, the transmembrane protease serine 2; IFIH1, interferon-induced helicase 1; MDA5, melanoma differentiation-associated protein 5; VA, ventricular arrhythmia; SCD, sudden cardiac death; T1D, type 1 diabetes; LE, lupus erythematosus; HTN, hypertension; DI-LQTS, drug-induced long QT syndrome; DI-TdP, drug-induced torsades de pointes; DI-SCD, drug-induced sudden cardiac death. Human genetic factors may contribute to the extremely high transmissibility of SARS-CoV-2 and to the relentlessly progressive disease. The genetic landscape of an individual in particular and a population in general seems to play a pivotal role in shaping COVID-19 dynamics. We need to embrace and evaluate patients’ genome analyses to provide a better understanding of disease phenotype and severe disease high-risk identification and personalize COVID-19 treatment [25].

CONFLICT OF INTEREST STATEMENT

The authors declare that they have no conflict of interests. Each author has participated in the writing of the manuscript and has seen and approved the submitted version.
  24 in total

1.  Found: genes that sway the course of the coronavirus.

Authors:  Jocelyn Kaiser
Journal:  Science       Date:  2020-10-16       Impact factor: 47.728

2.  ApoE e4e4 Genotype and Mortality With COVID-19 in UK Biobank.

Authors:  Chia-Ling Kuo; Luke C Pilling; Janice L Atkins; Jane A H Masoli; João Delgado; George A Kuchel; David Melzer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

3.  Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Authors:  David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustín Albillos; Pietro Invernizzi; Javier Fernández; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit M Grimsrud; Chiara Milani; Fátima Aziz; Jan Kässens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raúl de Pablo; Adolfo G Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Carreras Nolla; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julià; Antonio Pesenti; Antonio Voza; David Jiménez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Cinzia Paccapelo; Christoph Gassner; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestaña; Eduardo Muñiz-Diaz; Elena Sandoval; Elvezia M Paraboschi; Enrique Navas; Félix García Sánchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Téllez; Albert Blanco-Grau; Georg Hemmrich-Stanisak; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Iván Galván-Femenia; Javier Martín; Jeanette Erdmann; Jose Ferrusquía-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura R Bettini; Lauro Sumoy; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Malte C Rühlemann; Marco Schaefer; Maria Carrabba; Mar Riveiro-Barciela; Maria E Figuera Basso; Maria G Valsecchi; María Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angiò; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodríguez-Gandía; Monica Bocciolone; Monica Miozzo; Nicola Montano; Nicole Braun; Nicoletta Sacchi; Nilda Martínez; Onur Özer; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M Rodrigues; Aaron Blandino Ortiz; Rafael de Cid; Ricard Ferrer; Roberta Gualtierotti; Rosa Nieto; Siegfried Goerg; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Simonas Juzenas; Stefano Aliberti; Valter Monzani; Victor Moreno; Tanja Wesse; Tobias L Lenz; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero-Gómez; Mauro D'Amato; Stefano Duga; Jesus M Banales; Johannes R Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom H Karlsen
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

4.  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

5.  Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation during a Pandemic.

Authors:  Sureshnee Pillay; Jennifer Giandhari; Houriiyah Tegally; Eduan Wilkinson; Benjamin Chimukangara; Richard Lessells; Yunus Moosa; Stacey Mattison; Inbal Gazy; Maryam Fish; Lavanya Singh; Khulekani Sedwell Khanyile; James Emmanuel San; Vagner Fonseca; Marta Giovanetti; Luiz Carlos Alcantara; Tulio de Oliveira
Journal:  Genes (Basel)       Date:  2020-08-17       Impact factor: 4.096

Review 6.  Genetic susceptibility for COVID-19-associated sudden cardiac death in African Americans.

Authors:  John R Giudicessi; Dan M Roden; Arthur A M Wilde; Michael J Ackerman
Journal:  Heart Rhythm       Date:  2020-05-05       Impact factor: 6.343

7.  SARS-CoV-2 infections and COVID-19 mortalities strongly correlate with ACE1 I/D genotype.

Authors:  Naoki Yamamoto; Yasuo Ariumi; Nao Nishida; Rain Yamamoto; Georg Bauer; Takashi Gojobori; Kunitada Shimotohno; Masashi Mizokami
Journal:  Gene       Date:  2020-07-03       Impact factor: 3.688

8.  SARS-CoV-2 genomic variations associated with mortality rate of COVID-19.

Authors:  Yujiro Toyoshima; Kensaku Nemoto; Saki Matsumoto; Yusuke Nakamura; Kazuma Kiyotani
Journal:  J Hum Genet       Date:  2020-07-22       Impact factor: 3.172

Review 9.  What could explain the late emergence of COVID-19 in Africa?

Authors:  R Lalaoui; S Bakour; D Raoult; P Verger; C Sokhna; C Devaux; B Pradines; J-M Rolain
Journal:  New Microbes New Infect       Date:  2020-09-22

10.  The role of DBP gene polymorphisms in the prevalence of new coronavirus disease 2019 infection and mortality rate.

Authors:  Lutfiye Karcioglu Batur; Nezih Hekim
Journal:  J Med Virol       Date:  2020-08-16       Impact factor: 20.693

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