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 () and Nathan D. Price ()
Additional contact information
Anat Zimmer: Institute for Systems Biology
Yael Korem: Weizmann Institute
Noa Rappaport: Institute for Systems Biology
Tomasz Wilmanski: Institute for Systems Biology
Priyanka Baloni: Institute for Systems Biology
Kathleen Jade: Institute for Systems Biology
Max Robinson: Institute for Systems Biology
Andrew T. Magis: Institute for Systems Biology
Jennifer Lovejoy: Institute for Systems Biology
Sean M. Gibbons: Institute for Systems Biology
Leroy Hood: Institute for Systems Biology
Nathan D. Price: Institute for Systems Biology

Nature Communications, 2021, vol. 12, issue 1, 1-13

Abstract: Abstract Longitudinal multi-omics measurements are highly valuable in studying heterogeneity in health and disease phenotypes. For thousands of people, we have collected longitudinal multi-omics data. To analyze, interpret and visualize this extremely high-dimensional data, we use the Pareto Task Inference (ParTI) method. We find that the clinical labs data fall within a tetrahedron. We then use all other data types to characterize the four archetypes. We find that the tetrahedron comprises three wellness states, defining a wellness triangular plane, and one aberrant health state that captures aspects of commonality in movement away from wellness. We reveal the tradeoffs that shape the data and their hierarchy, and use longitudinal data to observe individual trajectories. We then demonstrate how the movement on the tetrahedron can be used for detecting unexpected trajectories, which might indicate transitions from health to disease and reveal abnormal conditions, even when all individual blood measurements are in the norm.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-021-23849-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23849-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-23849-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().