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Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch.

Jonathan W CunninghamPaolo Di AchilleValerie N MorrillLu-Chen WangSeung Hoan ChoiShaan KhurshidVictor NauffalJames Paul PirruccelloScott D SolomonPuneet BatraJennifer E HoAnthony A PhilippakisPatrick T EllinorSteven A Lubitz
Published in: Circulation. Genomic and precision medicine (2022)
We found that a machine learning derived continuous trait reflecting dicrotic notch smoothness on photoplethysmography was heritable and associated with genes involved in vascular stiffness. Greater notch smoothness was associated with greater risk of incident cardiovascular disease. Raw digital phenotyping may identify individuals at risk for disease via specific genetic pathways.
Keyphrases
  • machine learning
  • cardiovascular disease
  • genome wide
  • cell proliferation
  • artificial intelligence
  • big data
  • blood pressure
  • heart rate
  • dna methylation
  • cardiovascular events
  • cardiovascular risk factors
  • gene expression