Login / Signup

Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis.

Matthew DapasFrederick T J LinGirish Nitin NadkarniRyan SiskRichard S LegroMargrit UrbanekM Geoffrey HayesAndrea Dunaif
Published in: PLoS medicine (2020)
In conclusion, we have found reproducible reproductive and metabolic subtypes of PCOS. Furthermore, these subtypes were associated with novel, to our knowledge, susceptibility loci. Our results suggest that these subtypes are biologically relevant because they appear to have distinct genetic architecture. This study demonstrates how phenotypic subtyping can be used to gain additional insights from GWAS data.
Keyphrases
  • polycystic ovary syndrome
  • genome wide
  • insulin resistance
  • machine learning
  • copy number
  • type diabetes
  • gene expression
  • dna methylation
  • skeletal muscle
  • single cell
  • deep learning
  • data analysis