Validating Causal Diagrams of Human Health Risks for Spaceflight: An Example Using Bone Data from Rodents

Biomedicines. 2022 Sep 5;10(9):2187. doi: 10.3390/biomedicines10092187.

Abstract

As part of the risk management plan for human system risks at the US National Aeronautics and Space Administration (NASA), the NASA Human Systems Risk Board uses causal diagrams (in the form of directed, acyclic graphs, or DAGs) to communicate the complex web of events that leads from exposure to the spaceflight environment to performance and health outcomes. However, the use of DAGs in this way is relatively new at NASA, and thus far, no method has been articulated for testing their veracity using empirical data. In this paper, we demonstrate a set of procedures for doing so, using (a) a DAG related to the risk of bone fracture after exposure to spaceflight; and (b) four datasets originally generated to investigate this phenomenon in rodents. Tests of expected marginal correlation and conditional independencies derived from the DAG indicate that the rodent data largely agree with the structure of the diagram. Incongruencies between tests and the expected relationships in one of the datasets are likely explained by inadequate representation of a key DAG variable in the dataset. Future directions include greater tie-in with human data sources, including multiomics data, which may allow for more robust characterization and measurement of DAG variables.

Keywords: bone fracture; causal diagrams; directed acyclic graphs; microgravity; spaceflight; translational science.

Grants and funding

This project received no external grant funding, though E.L.A. was supported by the Translational Research Institute for Space Health, through NASA NNX16AO69A.