Skip to content

Wellness KP

Jump to bottom Edit New page
Gwênlyn Glusman edited this page Jun 30, 2023 · 32 revisions

Multiomics Wellness KP

Back to Home

Source: Multiomics Wellness KP

Non-data scientist description of why this edge exists: The Multiomics Wellness KP, created and maintained by the Multiomics Provider, provides observational knowledge derived through computation of correlations between many blood analytes. The original multiomic dataset was created through a wellness study that monitored the blood analytes and general wellness of a cohort of individuals that were largely healthy. Edges in this KP represent significant correlations between pairs of analytes.

Example: The Multiomics Wellness KP shows that the level of mercury observed in blood is strongly (positively) correlated with the level of docosahexanoic acid (DHA), a lipid found in fish and fish oil supplements. This correlation is consistent with mercury intake from contaminated fish. The strength of the correlation (Spearman rho) is 0.527, with p-value of 3E-221, as observed among N = 3197 individuals. The correlation is stronger among males (rho = 0.557, N = 1310) than among women (rho = 0.505, N = 1885). There is also an age dependence, with stronger correlation among individuals younger than 35 (rho = 0.588, N = 540) than among those between 35 and 55 (rho = 0.532, N = 1723) and those older than 55 (rho = 0.479, N = 932).

High-level description of data source(s): clinical labs, proteins, and metabolites as observed in blood from healthy volunteers

Key methodologic metrics provided on edges: The KP presents, for each correlation, statistical metrics like the strength of the correlation (Spearman rho), the p-value (Bonferroni-corrected for multiple testing), the number of individuals that contributed to the calculation (N), and details on what stratification was used, if any.

Regulatory requirement(s) and/or restriction(s) on data use and/or user consideration(s): N/A

Wiki URL: https://github.com/NCATSTranslator/Translator-All/wiki/Wellness-KP

The graph currently uses biolink:correlated_with as predicate. Node categories include biolink:ClinicalFinding, biolink:Protein, and biolink:SmallMolecule.

Use Cases- A sample TRAPI formatted query:

  • { "message": { "query_graph": { "edges": { "e0": { "predicate": "biolink:correlated_with", "subject": "n00", "object": "n01" } }, "nodes": { "n00": { "category": "biolink:ClinicalFinding", "id": "LOINC:1759-0" }, "n01": { "category": "biolink:ChemicalSubstance" } } } } }

Knowledge Sources Accessed -

  • ISB's Wellness dataset
Add a custom footer

Knowledge Providers (KP)

Autonomous Relay Agents (ARA)

Autonomous Relay System (ARS)

Standards and Reference Implementation (SRI)

Clone this wiki locally