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Development and validation of optimal phenomapping methods to estimate long-term atherosclerotic cardiovascular disease risk in patients with type 2 diabetes.

Matthew W SegarKershaw V PatelMuthiah VaduganathanMelissa C CaugheyByron C JaegerMujeeb BasitDuwayne WillettJaved ButlerPartho P SenguptaThomas J WangDarren K McGuireAmbarish Pandey
Published in: Diabetologia (2021)
Clustering using FMMs was the optimal phenomapping strategy to identify replicable subgroups of patients with type 2 diabetes with distinct clinical characteristics, CVD risk and response to therapies.
Keyphrases
  • cardiovascular disease
  • type diabetes
  • coronary artery disease
  • rna seq
  • cardiovascular risk factors