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A global effort to dissect the human genetic basis of resistance to SARS-CoV-2 infection

Nature Immunology volume 23, pages 159–164 (2022)Cite this article

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An Author Correction to this article was published on 24 November 2021

This article has been updated

Abstract

SARS-CoV-2 infections display tremendous interindividual variability, ranging from asymptomatic infections to life-threatening disease. Inborn errors of, and autoantibodies directed against, type I interferons (IFNs) account for about 20% of critical COVID-19 cases among SARS-CoV-2-infected individuals. By contrast, the genetic and immunological determinants of resistance to infection per se remain unknown. Following the discovery that autosomal recessive deficiency in the DARC chemokine receptor confers resistance to Plasmodium vivax, autosomal recessive deficiencies of chemokine receptor 5 (CCR5) and the enzyme FUT2 were shown to underlie resistance to HIV-1 and noroviruses, respectively. Along the same lines, we propose a strategy for identifying, recruiting, and genetically analyzing individuals who are naturally resistant to SARS-CoV-2 infection.

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The COVID-19 pandemic has reminded us that infections are unique among diseases in their potential to rapidly cause massive morbidity and mortality worldwide. Throughout history, infectious diseases have imposed strong selection pressures on humans1,2,3. In particular, viral pandemics, including ones caused by coronaviruses, have occurred repeatedly over the last century, and probably throughout human history4,5,6,7. Clinical variability in response to infection, viral or otherwise, can be explained, at least in some individuals, by human genetic factors8. The introduction of SARS-CoV-2 to a naive population, on a global scale, has provided yet another demonstration of the remarkable clinical variability between individuals in the course of infection, ranging from asymptomatic infections to life-threatening disease9,10,11. Our understanding of the pathophysiology of life-threatening COVID-19 has progressed considerably since the disease was first described in December 2019 (refs. 12,13), but we still know very little about the human genetic and immunological basis of inborn resistance to SARS-CoV-2. Mean secondary attack rates for SARS-CoV-2 infections can reach up to 70% in specific households14,15, and a number of families have been reported in which all the members except one of the spouses are infected16, suggesting that some highly exposed individuals may be resistant to infection with this virus. Here, we review examples of genetically determined susceptibility to severe outcomes of two infectious diseases—tuberculosis (TB) and COVID-19—while covering in greater depth the three known cases of inborn resistance to infections. We then consider candidate genes directly relevant to resistance to SARS-CoV-2 infection. Finally, we propose a strategy for recruiting and genetically analyzing individuals who are naturally resistant to infection with the virus. Above all, we advocate for further studies to develop our understanding of the causal mechanisms of inborn resistance to SARS-CoV-2 infection and provide a framework for the use of this knowledge for therapeutic purposes.

Inborn susceptibility to life-threatening infectious diseases

Human evolution has been marked by microorganisms that are sufficiently pathogenic to exert selective pressure on genes crucial for host defense2. One of the deadliest scourges of human health is TB, which has caused an estimated one billion deaths in Europe over the past two millennia17. Paradoxically, less than 10% of humans infected with Mycobacterium tuberculosis develop TB. Since the turn of the twentieth century, the contribution of human genetics to TB pathogenesis has been deciphered through classic genetics and experimental studies18,19. More recently, rare inborn errors of immunity (IEIs), including autosomal recessive interleukin-12 receptor β1 (IL12RB1)20,21 and tyrosine kinase 2 (TYK2) deficiencies22, in particular, have been identified in a few people with TB. The broader relevance of this finding was shown when the analysis was expanded to more common variants, revealing that homozygosity for the TYK2(P1104A) polymorphism was associated with a high risk of developing TB17,23. p.P1104A homozygosity disrupts the capacity of TYK2 to mediate IL-23-dependent IFN-γ immunity to mycobacteria23. Its minor allele frequency is highest among Europeans17. An analysis of ancient DNA showed that the frequency of TYK2(P1104A) has strongly decreased over the last 2,000 years in Europe owing to strong negative selection, concomitant with the high TB burden in Europe24.

With the advent of the COVID-19 pandemic, specific IEIs were shown to have a role in defining susceptibility to severe COVID-19. The COVID Human Genetic Effort (http://www.covidhge.com) reported 23 critically ill people with IEIs at 8 loci governing TLR3- and IRF7-dependent type I IFN induction and amplification13. Remarkably, four unrelated and previously healthy adults had autosomal recessive IRF7 or IFNAR1 deficiency. Although rare, the individuals with IEIs demonstrate that type I IFN immunity is indispensable for the control of SARS-CoV-2 infection. This finding led to the subsequent discovery, also by the consortium, of pre-existing neutralizing autoantibodies against type I IFNs as a phenocopy of type I IFN-related IEIs12. Subsequent studies in independent cohorts confirmed the presence of neutralizing autoantibodies against type I IFNs in more than 10% of people with severe COVID-19 (refs. 25,26,27,28,29,30). More recently, the consortium found that autoantibodies neutralizing lower, more physiological concentrations of type I IFNs account for about 20% of patients older than 70 years with critical pneumonia31. Moreover, the consortium also reported that about 1% of male patients younger than 60 years of age with critical pneumonia have X-recessive TLR7 deficiency32. Surprisingly, the individuals with IEIs identified and those with autoantibodies had not displayed any particular susceptibility to other severe infectious diseases before exposure to SARS-CoV-2. This finding is consistent with the smaller amounts of type I IFNs induced by SARS-CoV-2 than by seasonal influenza virus, for example33. However, type I IFN autoantibodies have been shown to underlie a third of adverse reactions to the live attenuated yellow fever virus vaccine34. Collectively, these examples illustrate how the genetic elucidation of an immunological deficit in a few rare individuals can indicate a mechanism that is disrupted by other causes in many more people.

Inborn resistance to infection upon exposure

An individual’s genetically determined protection against an infectious disease is the mirror image of genetically determined susceptibility to life-threatening disease. The term ‘protective’ is applied to a given locus when the allele associated with a lower risk of disease is the least frequent, alternative allele. Far fewer genetic studies on infectious diseases have focused on protective alleles than on susceptibility to infection, whether monogenic or polygenic. In the early 1950s, Anthony Allison showed that the HbS sickle-cell trait is maintained at high frequency in African areas where malaria is endemic, owing to a heterozygous advantage1 of the allele for providing protection against severe Plasmodium falciparum infections35. Other examples of protection against poor infection outcomes include the occurrence of specific HLA class I alleles in long-term nonprogressing HIV-1-infected individuals36, and the role of a type III interferon (IFNL3-IFNL4) haplotype in viral clearance following infection with hepatitis C virus (HCV)37,38. These alleles confer protection against severe disease in infected people, but not against contraction of the infection itself.

The genetic determinism of resistance to infection has been even less studied than that of protection against poor infection outcomes, and study has always been from a monogenic angle. Only three mechanisms of Mendelian resistance to infection have been identified to date. In the 1970s, Louis Miller discovered that the absence of the Duffy antigen on erythrocytes prevented these cells from becoming infected with Plasmodium vivax39,40. The molecular genetic basis of this autosomal recessive resistance trait was not determined until the 1990s. The causal variant affects the GATA-1 binding site in the DARC promoter, selectively preventing gene transcription in erythroid cells41. At about the same time, autosomal recessive CCR5 deficiency was found to confer resistance to infection with HIV-1 (refs. 42,43,44). The most common loss-of-function mutation in CCR5 is a 32-base-pair deletion with a minor allele frequency of 10% in the European population. Finally, autosomal recessive FUT2 deficiency was discovered to confer resistance to gastrointestinal infections with noroviruses45. As for DARC and the P. vivax Duffy binding protein, and CCR5 and the HIV-1 gp120–gp41 heterodimer, FUT2 expression is required for binding of the norovirus VPg capsid. It is probably no coincidence that these examples of Mendelian resistance to infection are complete deficiencies of receptors or coreceptors exploited by the pathogen as a means of entering cells. The genetic mechanisms of protection against severe infectious outcomes and those underlying resistance to infection itself are both subject to positive selection, as they provide a survival advantage46.

Candidate SARS-CoV-2 resistance genes

The proportion of humans naturally resistant to SARS-CoV-2 infection is unknown, but a number of candidate genes potentially involved in human inborn resistance to SARS-CoV-2 infection have emerged from several lines of evidence. One is the ABO locus, which was identified in genome-wide association studies (GWAS)47,48. Although initial data on the impact of blood group on COVID-19 severity were inconsistent, a recent meta-analysis of nearly 50,000 people from 46 studies confirmed an effect of this locus on susceptibility to infection49. The protective effect of the O allele, however, is small, with an odds ratio of ~0.90. Although no unified mechanism of resistance has yet been proposed50, ABO blood groups may play a direct role in infection by serving as coreceptors for SARS-CoV-2 (ref. 47). Pandemic-associated pernio (chilblain) is a rare manifestation in individuals exposed to SARS-CoV-2 that could provide insight into mechanisms of resistance to infection51,52. Pandemic-associated pernio (‘COVID toes’) mimics the skin lesions of familial chilblain lupus and Aicardi–Goutières syndrome, monogenic disorders caused by mutations leading to an upregulation of type I IFN signaling53. Most people with pernio remain seronegative, but the presence of the SARS-CoV-2 spike protein has been demonstrated in skin biopsy specimens, and a robust local type I IFN response has also been observed, suggesting early clearance of the virus54. These observations imply the presence of infection, and, thus, the absence of natural resistance to infection. Nevertheless, by understanding the pathophysiology of this phenomenon, we may be able to shed light on host mechanisms restricting viral replication and promoting resilience upon SARS-CoV-2 infection.

In vitro interactome studies have identified additional candidate host genes supporting the viral life cycle. Early in the pandemic, it was discovered that SARS-CoV-2 infection is dependent on the ACE2 receptor for cell entry and the serine protease TMPRSS2 for spike protein priming55,56,57,58. Indeed, a rare variant located close to ACE2 was found, by GWAS, to confer protection against SARS-CoV-2 infection, possibly by decreasing ACE2 expression59. Furthermore, although their impact on infection is unknown, some human ACE2 polymorphisms bind the SARS-CoV-2 spike protein with different affinities in vitro60. In a genome-wide CRISPR knockout screen for infection with SARS-CoV-2 and other coronaviruses, TMEM41B was identified as a requirement for permissive infection with the virus61. TMEM41B is an endoplasmic reticulum transmembrane protein that is also required by flaviviruses62. Its impact on SARS-CoV-2 infection remains to be established, but an allele common in East and South Asians has been shown to be associated with a lower capacity to support flavivirus infection in vitro62. Like genome-wide CRISPR knockout screens, affinity purification-mass spectrometry on human proteins interacting with SARS-CoV-2 has yielded an extensive protein interaction map63,64. Functional assessments of this interactome have resulted in its translation into a catalog of essential host factors required for SARS-CoV-2 infection65. Although no human studies linking the SARS-CoV-2 interactome to susceptibility to infection have yet been published, the genes concerned—along with the loci identified by GWAS—can be regarded as candidates for the identification of inborn variants conferring resistance to infection.

Genetic and immunological strategies

There are two key challenges in the search for individuals naturally resistant to SARS-CoV-2 infection. First, demonstrating an absence of infection poses a diagnostic hurdle. PCR-based molecular diagnostic approaches using respiratory specimens provide only snapshot information. Serology is useful for assessing the occurrence of prior infections for many viral infections, but some individuals remain seronegative despite infection with SARS-CoV-2 (refs. 66,67). Pre-existing crossreactive T-cell-mediated immunity as a result of prior infections with other coronaviruses might contribute to a resilient response upon infection with SARS-CoV-2 (refs. 68,69,70,71). At the same time, T cell responses to SARS-CoV-2-specific antigens could provide a sensitive and specific marker for the qualitative assessment of prior infection with SARS-CoV-2 (ref. 68). A second challenge lies in the probability of virus transmission. The likelihood of infection is influenced by both the duration and intensity of exposure to an infected individual, and the intrinsic transmission characteristics of the pathogen. The basic reproduction number (R0, the average number of secondary infections produced by a typical case of an infection in a population where everyone is susceptible) of SARS-CoV-2 is between 2.5 and 5.0, on average72,73,74. However, coronaviruses are known to be transmitted during superspreader events with very high secondary attack rates75. Identifying these events, other large-scale outbreaks, and households in which one or very few individuals remained uninfected14,15,16 would be of particular interest for the study of inborn variants conferring resistance to SARS-CoV-2.

When testing the hypothesis that monogenic inborn variants of immunity confer natural resistance to SARS-CoV-2 infection, we apply a four-step strategy to overcome diagnostic limitations and uncertainties about exposure (Fig. 1). We first focus on uninfected household contacts of people with symptomatic COVID-19 (score of 3 or higher on the World Health Organization’s clinical progression scale76). We then consider individuals exposed to an index case without personal protection equipment, for at least 1 hour per day, and during the first 3–5 days of symptoms in the index case. Priority is given to the study of serodiscordant spouses and sleeping partners. We subsequently enroll individuals with a negative PCR result when tested plus negative serological results obtained 4 weeks after exposure. Finally, we assess SARS-CoV-2-specific T cell responses in the candidate resistant individuals and compare their responses with those of SARS-CoV-2-infected individuals. We differentiate T cell responses induced by vaccination from those provoked by natural infection. Study participants lacking a SARS-CoV-2-reactive T cell response will be analyzed by whole-exome/genome sequencing. The results will be compared with those for SARS-CoV-2-infected controls, with the aim of identifying rare or common variants with a strong effect on resistance to infection11,12,13,77. Finally, as in studies of IEIs78, the genetic findings will be validated experimentally, including with cells from the study participants, to dissect the mechanisms of resistance at the molecular, cellular, tissue, immunological, and whole-organism levels (Fig. 1).

Fig. 1: A global effort to dissect the human genetic basis of resistance to SARS-CoV-2 infection.
figure 1

Inclusion criteria, and approach for the identification and validation of inborn variants conferring resistance to SARS-CoV-2 infection (http://www.covidhge.com). Created with BioRender.com.

Full size image

Concluding remarks

Historical examples of inborn resistance to infection with other pathogens provide a road map for testing the hypothesis of monogenic inborn resistance to infection with SARS-CoV-2. Some more common inborn variants of resistance in candidate genes may have relatively small effects. However, we also aim to identify candidate genes with potentially rare variants and a large effect size. These variants are of particular interest for two reasons. First, they can provide a deep understanding of the essential biological pathways involved in infection with SARS-CoV-2. Second, they will allow for the development of innovative therapeutic interventions to prevent or treat SARS-CoV-2 infection in others. The proof-of-principle for this second reason of interest has been provided by CCR5 and its antagonist maraviroc, which is used for the treatment of HIV-1 infections in specific settings79. In addition, transplantation of CCR5-deficient bone marrow has been successfully applied to cure HIV infection in a few people80,81. No specific drug effective against COVID-19 has been discovered since the start of the pandemic. Lessons learned from experiments of nature could potentially guide us toward such specific treatments for COVID-19. We have already enrolled more than 400 individuals meeting the criteria for inclusion in a dedicated resistance study cohort. The collaborative enrollment of study participants is continuing (http://www.covidhge.com), and subjects from all over the world are welcome.

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Acknowledgements

The Laboratory of Human Genetics of Infectious Diseases is supported by the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1TR001866), a Fast Grant from Emergent Ventures, Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the Fisher Center for Alzheimer’s Research Foundation, the Meyer Foundation, the French National Research Agency (ANR) under the Investments for the Future program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project (ANR-20-COVI-0003), ANRS-COV05, the Fondation du Souffle, the Square Foundation, Grandir - Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, the Howard Hughes Medical Institute, the Rockefeller University, the St. Giles Foundation, Institut National de la Santé et de la Recherche Médicale (INSERM), and the University of Paris. E.A. is supported by research grants from the European Commission’s Horizon 2020 research and innovation program (IMMUNAID, grant no. 779295, CURE, grant no. 767015 and TO_AITION grant no. 848146) and the Hellenic Foundation for Research and Innovation (INTERFLU, no. 1574). C.O.F. is supported in part by the Science Foundation Ireland COVID-19 Program. G.N. is supported by a grant awarded to Regione Lazio (Research Group Projects 2020) no. A0375-2020-36663, GecoBiomark. A.P. is supported in part by the Horizon 2020 program under grant no. 824110 (EasiGenomics grant no. COVID-19/PID12342) and the CERCA Program/Generalitat de Catalunya. H.S. is supported in part by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health. A.S. is supported in part by the European Union’s Horizon 2020 research and innovation program (Marie Sklodowska-Curie grant no. 789645).

Author information

Affiliations

  1. Laboratory of Immunobiology, Center for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece

    Evangelos Andreakos

  2. St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA

    Laurent Abel, Qian Zhang, Paul Bastard, Benedetta Bigio, Bertrand Boisson, Aurelié Cobat, Emmanuelle Jouanguy, Anne Puel, Shen-Ying Zhang, Jean-Laurent Casanova & András N. Spaan

  3. Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France

    Laurent Abel, Qian Zhang, Paul Bastard, Bertrand Boisson, Aurelié Cobat, Emmanuelle Jouanguy, Anne Puel, Shen-Ying Zhang & Jean-Laurent Casanova

  4. University of Paris, Imagine Institute, Paris, France

    Laurent Abel, Qian Zhang, Paul Bastard, Bertrand Boisson, Aurelié Cobat, Emmanuelle Jouanguy, Anne Puel, Shen-Ying Zhang & Jean-Laurent Casanova

  5. Department of Medicine, Division of Infectious Diseases, McGill University Health Centre, Montréal, Québec, Canada

    Donald C. Vinh

  6. Infectious Disease Susceptibility Program, Research Institute, McGill University Health Centre, Montréal, Québec, Canada

    Donald C. Vinh

  7. MNM Diagnostics Inc., Lewes, DE, USA

    Elżbieta Kaja

  8. Department of Dermatology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA

    Beth A. Drolet

  9. Comparative Immunology Group, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland

    Cliona O’Farrelly

  10. Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy

    Giuseppe Novelli

  11. Department of Immunology, Hospital Universitario de Gran Canaria Dr. Negrín, Canarian Health System, Las Palmas de Gran Canaria, Las Palmas, Spain

    Carlos Rodríguez-Gallego

  12. Department of Clinical Sciences, University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, Las Palmas, Spain

    Carlos Rodríguez-Gallego

  13. Department of Pediatric Immunology and Pulmonology, Centre for Primary Immunodeficiency Ghent (CPIG), PID Research Laboratory, Jeffrey Modell Diagnosis and Research Centre, Ghent University Hospital, Ghent, Belgium

    Filomeen Haerynck

  14. Faculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Brazil

    Carolina Prando

  15. Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain

    Aurora Pujol

  16. Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain

    Aurora Pujol

  17. Center for Biomedical Research on Rare Diseases U759 (CIBERER), ISCIII, Barcelona, Spain

    Aurora Pujol

  18. Intramural Research Program, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA

    Helen C. Su

  19. Howard Hughes Medical Institute, New York, NY, USA

    Jean-Laurent Casanova

  20. Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands

    András N. Spaan

  21. Department of Pediatrics, British Columbia Children’s Hospital, The University of British Columbia, Vancouver, BC, Canada

    Catherine M. Biggs & Stuart E. Turvey

  22. Helix, San Mateo, CA, USA

    Alexandre Bolze

  23. Shupyk National Healthcare University of Ukraine, Kiev, Ukraine

    Anastasiia Bondarenko

  24. SciLifeLab, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden

    Petter Brodin

  25. Department of Pediatrics and Children’s Healthcare of Atlanta, Emory University, Atlanta, GA, USA

    Samya Chakravorty

  26. Murdoch Children’s Research Institute and Department of Paediatrics, University of Melbourne, Victoria, Australia

    John Christodoulou

  27. Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil

    Antonio Condino-Neto

  28. De Duve Instute and Cliniques Universitaires Saint Luc, Université catholique de Louvain, Brussels, Belgium

    Stefan N. Constantinescu

  29. The Genetics Institute, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

    Hagit Baris Feldman

  30. School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Jacques Fellay

  31. Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

    Jacques Fellay

  32. Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain

    Carlos Flores

  33. CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain

    Carlos Flores

  34. Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain

    Carlos Flores

  35. Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates

    Rabih Halwani

  36. Department of Paediatrics & Adolescent Medicine, The University of Hong Kong, Hong Kong, China

    Yu-Lung Lau

  37. Department of Pediatrics, Jeffrey Modell Diagnostic and Research Network Center, University Hospitals Leuven, Leuven, Belgium

    Isabelle Meyts

  38. Laboratory for Inborn Errors of Immunity, Department of Immunology, Microbiology and Transplantation, KU Leuven, Leuven, Belgium

    Isabelle Meyts

  39. Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark

    Trine H. Mogensen

  40. Department of Biomedicine, Aarhus University, Aarhus, Denmark

    Trine H. Mogensen

  41. Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

    Satoshi Okada

  42. Department of Pediatrics, Tokyo Medical and Dental University, Tokyo, Japan

    Keisuke Okamoto

  43. Department of Molecular Biology and Genetics, Bilkent University, Bilkent - Ankara, Turkey

    Tayfun Ozcelik

  44. Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden

    Qiang Pan-Hammarström

  45. Laboratory of Immunogenetics of Human Diseases, Innate Immunity Group, IdiPAZ Institute for Health Research, La Paz Hospital, Madrid, Spain

    Rebeca Pérez de Diego

  46. Interdepartmental Group of Immunodeficiencies, Madrid, Spain

    Rebeca Pérez de Diego

  47. IIBB-CSIC, IDIBAPS, Barcelona, Spain

    Anna M. Planas

  48. Human Evolutionary Genetics Unit, CNRS U2000, Institut Pasteur, Paris, France

    Lluis Quintana-Murci

  49. Human Genomics and Evolution, Collège de France, Paris, France

    Lluis Quintana-Murci

  50. A*STAR Infectious Disease Labs, Agency for Science, Technology and Research, Singapore, Singapore

    Laurent Renia

  51. Lee Kong Chian School of Medicine, Nanyang Technology University, Nanyang, Singapore

    Laurent Renia

  52. Department of Medical Genetics, University Hospital St. Marina and Medical University, Varna, Bulgaria

    Igor Resnick

  53. Department of Immunology, Second Faculty of Medicine Charles University, University Hospital in Motol, Prague, Czech Republic

    Anna Sediva

  54. Department of Immunology, Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia

    Anna Shcherbina

  55. Central European Institute of Technology & Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic

    Ondrej Slaby

  56. Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria

    Ivan Tancevski

  57. Centre for Precision Therapeutics, Genetic and Genomic Medicine Centre, NeuroGen Children’s Healthcare, Dhaka, Bangladesh

    K. M. Furkan Uddin

  58. Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands

    Diederik van de Beek

  59. Biosciences Institute, University of São Paulo, São Paulo, Brazil

    Mayana Zatz

  60. Molecular Biophysics Division, Faculty of Physics, A. Mickiewicz University, Poznań, Poland

    Pawel Zawadzki

Authors
  1. Evangelos Andreakos
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  2. Laurent Abel
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  11. Carolina Prando
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Consortia

COVID Human Genetic Effort

  • Paul Bastard
  • , Catherine M. Biggs
  • , Benedetta Bigio
  • , Bertrand Boisson
  • , Alexandre Bolze
  • , Anastasiia Bondarenko
  • , Petter Brodin
  • , Samya Chakravorty
  • , John Christodoulou
  • , Aurelié Cobat
  • , Antonio Condino-Neto
  • , Stefan N. Constantinescu
  • , Hagit Baris Feldman
  • , Jacques Fellay
  • , Carlos Flores
  • , Rabih Halwani
  • , Emmanuelle Jouanguy
  • , Yu-Lung Lau
  • , Isabelle Meyts
  • , Trine H. Mogensen
  • , Satoshi Okada
  • , Keisuke Okamoto
  • , Tayfun Ozcelik
  • , Qiang Pan-Hammarström
  • , Rebeca Pérez de Diego
  • , Anna M. Planas
  • , Anne Puel
  • , Lluis Quintana-Murci
  • , Laurent Renia
  • , Igor Resnick
  • , Anna Sediva
  • , Anna Shcherbina
  • , Ondrej Slaby
  • , Ivan Tancevski
  • , Stuart E. Turvey
  • , K. M. Furkan Uddin
  • , Diederik van de Beek
  • , Mayana Zatz
  • , Pawel Zawadzki
  •  & Shen-Ying Zhang

Corresponding authors

Correspondence to Evangelos Andreakos or András N. Spaan.

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Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Immunology thanks the anonymous reviewers for their contribution to the peer review of this work. Primary Handling editor: Zoltan Fehervari, in collaboration with the Nature Immunology team.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Andreakos, E., Abel, L., Vinh, D.C. et al. A global effort to dissect the human genetic basis of resistance to SARS-CoV-2 infection. Nat Immunol 23, 159–164 (2022). https://doi.org/10.1038/s41590-021-01030-z

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