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Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium.

Silva KaselaVictor E OrtegaMolly MartorellaSuresh GarudadriJenna NguyenElizabeth AmplefordAnu PasanenSrilaxmi NerellaKristina L BuschurIgor Z BarjaktarevicR Graham BarrEugene R BleeckerRussell P BowlerAlejandro P ComellasChristopher B CooperDavid J CouperGerard J CrinerJeffrey L CurtisMeiLan K HanNadia N HanselEric A HoffmanRobert J KanerJerry A KrishnanFernando J MartinezMerry-Lynn N McDonaldDeborah A MeyersRobert PaineStephen P PetersMario CastroLoren C DenlingerSerpil C ErzurumJohn V FahyElliot IsraelNizar N JarjourBruce D LevyXingnan LiWendy C MooreSally E WenzelJoe Zeinnull nullnull nullCharles LangelierPrescott G WoodruffTuuli LappalainenStephanie A Christenson
Published in: Genome medicine (2021)
These data provide evidence that clinically relevant variation in the expression of COVID-19-related genes is associated with host factors, environmental exposures, and likely host genetic variation.
Keyphrases
  • coronavirus disease
  • poor prognosis
  • sars cov
  • genome wide
  • binding protein
  • copy number
  • air pollution
  • electronic health record
  • dna methylation
  • long non coding rna
  • big data
  • machine learning
  • human health
  • deep learning