ReviewEuropean journal of human genetics : EJHG2022
The genetic and evolutionary determinants of COVID-19 susceptibility.
Review in European journal of human genetics : EJHG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Genomic surveillance and phylo-evolutionary analysis of SARS-CoV-2 variants in Osun state, Nigeria during the second wave of COVID-19 pandemic.BMC medical genomics · 2025Article
- Evolution, genetic diversity, and health.Nature medicine · 2025Review
- Aggravating mechanisms from COVID-19.Virology journal · 2024Review
- Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population.Scientific reports · 2024Article
- Genetic Basis for Mucormycosis Progression in COVID-19 Patients: From Susceptibility to Severity.Infectious diseases & immunity · 2024Review
- Seroprevalence of Anti-SARS-CoV-2 Antibodies in Cats during Five Waves of COVID-19 Epidemic in Thailand and Correlation with Human Outbreaks.Animals : an open access journal from MDPI · 2024Article
- Article
- 2022: the year that was in the European Journal of Human Genetics.European journal of human genetics : EJHG · 2023Article
- Association of COVID-19 with Risk and Progression of Alzheimer's Disease: Non-Overlapping Two-Sample Mendelian Randomization Analysis of 2.6 Million Subjects.Journal of Alzheimer's disease : JAD · 2023Article
- The Microbiome of the Built Environment: The Nexus for Urban Regeneration for the Cities of Tomorrow.Microorganisms · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Devastating pandemics, such as that due to COVID-19, can provide strong testimony to our knowledge of the genetic and evolutionary determinants of infectious disease susceptibility and severity. One of the most remarkable aspects of such outbreaks is the stunning interindividual variability observed in the course of infection. In recent decades, enormous progress has been made in the field of the human genetics of infectious diseases, and an increasing number of human genetic factors have been reported to explain, to a great extent, the observed variability for a large number of infectious agents. However, our understanding of the cellular, molecular, and immunological mechanisms underlying such disparities between individuals and ethnic groups, remains very limited. Here, we discuss recent findings relating to human genetic predisposition to infectious disease, from an immunological or population genetic perspective, and show how these and other innovative approaches have been applied to deciphering the genetic basis of human susceptibility to COVID-19 and the severity of this disease. From an evolutionary perspective, we show how past demographic and selection events characterizing the history of our species, including admixture with archaic humans, such as Neanderthals, facilitated modern human adaptation to the threats imposed by ancient pathogens. In the context of emerging infectious diseases, these past episodes of genetic adaptation may contribute to some of the observed population differences in the outcome of SARS-CoV-2 infection and the severity of COVID-19 illness.
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Registered trials
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.