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Building cohorts with Participant Explorer

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Participant Explorer is an ontology-aware no code tool for searching for participants. You can use it to search for phenotypes using natural language and combine terms in quite complex queries.

To build a cohort, you can use the Search by Clinical Concept option in Participant Explorer. This allows you to search by phenotypes, diseases and treatments. You don't need to know any code systems for these searches, as Participant Explorer will search with natural language and fill in the codes for you. You can include descendant concepts of those you select and mapping to synonyms in other code systems.

You can add multiple phenotypes to your search, choosing and/or logic. To find a control cohort, you can switch to match none for an argument.

To add in covariates, you can also use the Search by Participant Details. This allows you to add in things like year of birth, sex, ethnicity, if a rare disease case is solved and if the participant is still alive.

There are more details on searching on this page.


To verify any data in Participant Explorer, you can go into a participant record and click on the links to LabKey. These will open up the LabKey tables which contain the data, filtered to only show the relevant rows.

You can learn more about the participant page in this document.


You can download tables of data about your cohort by clicking on Download from the results table. Here you can select the columns you want to include in your download, including participant information and genome file locations.

There is more information on this here.

Last update: November 27, 2023