SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

D’Antonio, Matteo; Nguyen, Jennifer P.; Arthur, Timothy D.; Matsui, Hiroko; D’Antonio‐Chronowska, Agnieszka; Frazer, Kelly A.

doi:10.1016/j.celrep.2021.110020

Cited by 32 publications

(25 citation statements)

References 84 publications

(77 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These factors complicate the study of epidemics, so one type of approach cannot solve these problems. Motivated by [45] , [46] , [47] , [48] , [49] the next related research should not use only one method of differential equation modeling, but a combination of various methods. Such as visualization and analysis of Spatio-temporal geographic data, cellular-automata method, gene sequencing techniques in biology, etc.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

There exists the “smartest” movement rate to control the epidemic rather than “city lockdown”

Wang

2022

Applied Mathematical Modelling

View full text Add to dashboard Cite

Section: Conclusion and Discussionmentioning

confidence: 99%

There exists the “smartest” movement rate to control the epidemic rather than “city lockdown”

Wang

2022

Applied Mathematical Modelling

View full text Add to dashboard Cite

“…It can support the definition of pharmacogenetic profiles, guiding treatment and reproductive genetic counseling [ 110 ]. Substantial cosegregation of gene-variants with COVID-19 disease can provide solid genetic relationships to support pathogenicity [ 111 ]. Most of the symptomologies of COVID-19 are based on common signs and symptom-driven diagnosis and treatment [ 112 ].…”

Section: Discussionmentioning

confidence: 99%

Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19

2022

View full text Add to dashboard Cite

Aim: A human immunogenetics variation study was conducted in samples collected from diverse COVID-19 populations. Materials & methods: Whole-genome and whole-exome sequencing (WGS/WES), data processing, analysis and visualization pipeline were applied to identify variants associated with genes of interest. Results: A total of 2886 mutations were found across the entire set of 13 genomes. Functional annotation of the gene variants revealed mutation type and protein change. Many variants were found to be biologically implicated in COVID-19. The involvement of these genes was also found in multiple other diseases. Conclusion: The analysis determined that ACE2, TMPRSS4, TMPRSS2, SLC6A20 and FYCOI had functional implications and TMPRSS4 was the gene most altered in virally infected patients.

show abstract

“…Regarding the OAS genes, which play an important role in the innate immune response to viral infections, the intronic variant rs4767027 resulted in increasing the expression of OAS1 and thus decreasing the hospitalization risk [ 19 ]. Moreover, a recent study characterized the association between COVID-19 GWAS loci and eQTLs in 69 human tissues identifying colocalization of GWAS and eQTL signals with an expression of 20 genes in 62 tissues [ 22 ]. Among them, the rs1886814 of the FOXP4 gene associated with the severity of COVID-19, colocalized with a lung-specific eQTL leading to an increased FOXP4 expression.…”

Section: How Many Genes Are Expected To Be Involved In Complex Disord...mentioning

confidence: 99%

Host genetic basis of COVID-19: from methodologies to genes

et al. 2022

Self Cite

View full text Add to dashboard Cite

The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is having a massive impact on public health, societies, and economies worldwide. Despite the ongoing vaccination program, treating COVID-19 remains a high priority; thus, a better understanding of the disease is urgently needed. Initially, susceptibility was associated with age, sex, and other prior existing comorbidities. However, as these conditions alone could not explain the highly variable clinical manifestations of SARS-CoV-2 infection, the attention was shifted toward the identification of the genetic basis of COVID-19. Thanks to international collaborations like The COVID-19 Host Genetics Initiative, it became possible the elucidation of numerous genetic markers that are not only likely to help in explaining the varied clinical outcomes of COVID-19 patients but can also guide the development of novel diagnostics and therapeutics. Within this framework, this review delineates GWAS and Burden test as traditional methodologies employed so far for the discovery of the human genetic basis of COVID-19, with particular attention to recently emerged predictive models such as the post-Mendelian model. A summary table with the main genome-wide significant genomic loci is provided. Besides, various common and rare variants identified in genes like TLR7, CFTR, ACE2, TMPRSS2, TLR3, and SELP are further described in detail to illustrate their association with disease severity.

show abstract

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Cited by 32 publications

References 84 publications

There exists the “smartest” movement rate to control the epidemic rather than “city lockdown”

There exists the “smartest” movement rate to control the epidemic rather than “city lockdown”

Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19

Host genetic basis of COVID-19: from methodologies to genes

Contact Info

Product

Resources

About