Longitudinal Data Analysis
Last updated
Last updated
One of the big advantages of the FinnGen project is that it contains data over an individual’s whole lifetime. This is quite different from the information that might be collected for a particular phenotypic study.
Because this type of deep longitudinal data is unprecedented there are few available tools in the community that are able to maximize the full extent of the data.
FinnGen has been working to develop tools that enable you to make use of this deep data.
One tool we have installed is the OHDSI ATLAS tool that gives you a graphical view of a medically defined cohort. This is available in the Sandbox under Applications > FinnGen > Atlas(Figure below).
OHDSI provides a Common Data Model (CDM) within a relational database that other tools can connect to.
Trajectory Visualization Tool (TVT) is one tool built on the CDM that will enable you to view medical codes over an individual’s life trajectory.
If you are interested in looking more at trajectory analysis in the literature, in addition to reading the OHDSI available tools, you might also look at the work of Søren Brunak.
Søren Brunak has been working at these types of questions in the Danish health registries e.g. Danish disease trajectory browser
