Nature Communications (Jun 2021)

The geometry of clinical labs and wellness states from deeply phenotyped humans

  • Anat Zimmer,
  • Yael Korem,
  • Noa Rappaport,
  • Tomasz Wilmanski,
  • Priyanka Baloni,
  • Kathleen Jade,
  • Max Robinson,
  • Andrew T. Magis,
  • Jennifer Lovejoy,
  • Sean M. Gibbons,
  • Leroy Hood,
  • Nathan D. Price

DOI
https://doi.org/10.1038/s41467-021-23849-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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Longitudinal multi-omics measurements are highly valuable in studying heterogeneity in health and disease phenotypes. Here, the authors apply Pareto Task Inference to analyze the clinical lab tests of 3094 individuals and find three wellness states, and one aberrant health state defining this cohort.