Nature Communications (Feb 2022)

Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations

  • Alice S. Tang,
  • Tomiko Oskotsky,
  • Shreyas Havaldar,
  • William G. Mantyh,
  • Mesude Bicak,
  • Caroline Warly Solsberg,
  • Sarah Woldemariam,
  • Billy Zeng,
  • Zicheng Hu,
  • Boris Oskotsky,
  • Dena Dubal,
  • Isabel E. Allen,
  • Benjamin S. Glicksberg,
  • Marina Sirota

DOI
https://doi.org/10.1038/s41467-022-28273-0
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 15

Abstract

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Sex modifies Alzheimer’s Disease vulnerability, but the reasons for this are largely unknown. Here, the authors utilize two independent electronic medical record systems to perform deep clinical phenotyping and network analysis to gain insight into clinical characteristics and sex-specific clinical associations.