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Archetype Analysis Identifies Distinct Profiles in Renal Transplant Recipients with Transplant Glomerulopathy Associated with Allograft Survival.

Olivier AubertSarah HigginsYassine BouatouDaniel YooMarc RaynaudDenis VigliettiMarion RabantLuis HidalgoDenis GlotzChristophe LegendreMichel DelahousseNikhil ShahBanu SisPatricia CampbellMichael MengelXavier JouvenJean-Paul Duong Van HuyenCarmen LefaucheurAlexandre Loupy
Published in: Journal of the American Society of Nephrology : JASN (2019)
A probabilistic data-driven archetype analysis approach applied in a large, well defined multicenter cohort refines the diagnostic and prognostic features associated with cases of transplant glomerulopathy. Reducing heterogeneity among such cases can improve disease characterization, enable patient-specific risk stratification, and open new avenues for archetype-based treatment strategies and clinical trials optimization.
Keyphrases
  • clinical trial
  • minimally invasive
  • randomized controlled trial
  • genome wide
  • single cell
  • dna methylation