About: Systems-based candidate genes for human response to influenza infection()

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Systems-based candidate genes for human response to influenza infection()
Creator	Gwinn, Marta Zhang, Lyna Katz, Jacqueline Dowling, Nicole Khoury, J
Source	Elsevier; Medline; PMC
abstract	Influenza A is a serious respiratory illness that can be debilitating and may cause complications leading to hospitalization and death. The outcome of infection with the influenza A virus is determined by a complex interplay of viral and host factors. With the ongoing threat of seasonal influenza and the potential emergence of new, more virulent strains of influenza viruses, we need to develop a better understanding of genetic variation in the human population and its association with severe outcomes from influenza infection. We propose a list of approximately 100 systems-based candidate genes for future study of the genetic basis of influenza disease and immunity in humans, based on evidence in the published literature for their potential role in the pathogenesis of this infection: binding of the virus to receptors on the host cell surface; cleavability of HA by host proteases; virus replication in host cells; destruction of host cells by apoptosis; state of immunocompetence of the individual host; and viral infections predisposing to bacterial infection.
has issue date	2009-07-30(xsd:dateTime)
bibo:doi	10.1016/j.meegid.2009.07.006
bibo:pmid	19647099
has license	no-cc
sha1sum (hex)	b1d998f9c2b7febe22f7329020d226a3cc9cfa7d
schema:url	https://doi.org/10.1016/j.meegid.2009.07.006
resource representing a document's title	Systems-based candidate genes for human response to influenza infection()
has PubMed Central identifier	PMC7106103
has PubMed identifier	19647099
schema:publication	Infect Genet Evol
resource representing a document's body	covid:b1d998f9c2b7febe22f7329020d226a3cc9cfa7d#body_text
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