HIGHLIGHTS
SUMMARY
To accelerate the identification of disease subtypes, large deeply phenotyped cohorts of Parkinson`s disease patients have been created, in which valuable clinical, imaging, biosample and genetic data have been collected, increasingly with longitudinal monitoring. Applying PHENIX to the deeply phenotyped UKbased Oxford Discovery cohort, the authors identify a small number of axes underlying individual Parkinson`s disease patient phenotypic variation that explain the variation in the much larger number of clinically-observed phenotypes. The authors demonstrate the universality of these axes of phenotypic variation amongst Parkinson`s disease patients by independently deriving similar . . .
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