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Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study.

Morgan OburaJoline W J BeulensRoderick SliekerAnitra D M KoopmanTrynke HoekstraGiel NijpelsPetra EldersRobert Wilhelm KoivulaAzra KurbasicMarkku LaaksoTue H HansenMartin RidderstråleTorben HansenImre PavoIan ForgieBernd JablonkaHartmut RuettenAndrea MariMark I McCarthyMark WalkerAlison HeggieTimothy J McDonaldMandy H PerryFederico De MasiSøren BrunakAnubha MahajanGiuseppe N GiordanoTarja KokkolaEmmanouil DermitzakisAna ViñuelaOluf PedersenJochen M SchwenkJurek AdamskiHarriet J A TeareEwan R PearsonPaul W FranksLeen M 't HartFemke Ruttersnull null
Published in: PloS one (2020)
Different glycaemic profiles with different metabolic traits and different degrees of subsequent glycaemic deterioration can be identified using data from a frequently sampled mixed-meal tolerance test in individuals with T2D. Subgroups with the highest peaks had greater metabolic risk.
Keyphrases
  • type diabetes
  • genome wide
  • electronic health record
  • big data
  • blood glucose
  • metabolic syndrome
  • artificial intelligence
  • skeletal muscle
  • data analysis