Discovery of new candidate genes for rheumatoid arthritis through integration of genetic association data with expression pathway analysis.

Klementy ShchetynskyLina-Marcella Diaz-GalloLasse FolkersenAase Haj HensvoldAnca Irinel CatrinaLouise BergLars KlareskogLeonid Padyukov

Published in: Arthritis research & therapy (2017)

Integration of RNA-seq data with findings from association studies, and consequent pathway analysis implicate new candidate genes, ERBB2, TP53 and THOP1 in the pathogenesis of RA.

Keyphrases

rna seq
rheumatoid arthritis
single cell
electronic health record
poor prognosis
disease activity
big data
gene expression
ankylosing spondylitis
systemic lupus erythematosus
genome wide
dna methylation
machine learning
long non coding rna