# Longitudinal Data Analysis

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.

### OHDSI ATLAS tool

One tool we have installed is the [OHDSI ATLAS](https://www.ohdsi.org/atlas-a-unified-interface-for-the-ohdsi-tools/) tool that gives you a graphical view of a medically defined cohort. This is available in the Sandbox under `Applications > FinnGen > Atlas`(Figure below).

![Where is ATLAS on the Sandbox?](/files/MnAykIAqoRVicCMSFmp3)

OHDSI provides a [Common Data Model (CDM) ](https://www.ohdsi.org/data-standardization/the-common-data-model/)within a relational database that other tools can connect to.

[Trajectory Visualization Tool](/working-in-the-sandbox/which-tools-are-available/trajectory-visualization-tool-tvt/trajectory-visualization-tool-tvt.md) (TVT) is one tool built on the CDM that will enable you to view medical codes over an individual’s life trajectory.

#### Additional reading:

If you are interested in looking more at trajectory analysis in the literature, in addition to reading the [OHDSI available tools](https://ohdsi.org/software-tools/), you might also look at the work of Søren Brunak.

* [Søren Brunak](https://www.cpr.ku.dk/research/disease-systems-biology/brunak/) has been working at these types of questions in the Danish health registries e.g. [Danish disease trajectory browser](https://pubmed.ncbi.nlm.nih.gov/33009368/)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.finngen.fi/background-reading/references-on-longitudinal-data-analysis-ohdsi-soren-brunak.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.