Authorized PIC-SURE Features
Authorized PIC-SURE provides access to complete, participant-level data, in addition to aggregate counts.
A: Actions for filtering and selecting variables.
The Filter icon allows you to apply a variable-level filter.
The Add Variable icon allows you to add a variable to the dataset. Not that this will not subset the cohort.
B: Data Summary. In addition to the total number of participants in the filtered cohort, the number of variables the user has selected for data retrieval is also displayed.
There are four concept paths that are automatically included with any data export from Authorized PIC-SURE. These fields are listed and described below.
Patient ID: Internal PIC-SURE participant identifier. Please note that this field is not linking participants between studies and therefore should not be used for data correlation between different data sources or to the original data files.
Parent Study Accession with Subject ID: PIC-SURE generated identifier for parent studies. These identifiers are a combination of the study accession number and the subject identifier.
Topmed Study Accession with Subject ID: PIC-SURE generated identifier for TOPMed studies. These identifiers are a combination of the study accession number and the subject identifier.
Consents: Field used to determine which groups users are authorized to access from dbGaP. These identifiers are a combination of the study accession number and consent code.
C: Tool Suite. The Tool Suite contains tools that can be used to explore filtered cohorts of interest. Note that at least one filter must be added to the query before using the Tool Suite.
Select and Package Data: Retrieve participant-level data corresponding to your filters and variable selections. Variables selected for data retrieval can be reviewed and modified. To learn more about the options associated with this tool, please refer to the Select and Package Data section.
Variable Distributions: View the distributions of query variables based on the filtered cohort. Note that there is a limit to the number of variable distributions that can be viewed at a given time. For categorical variables with more than seven categories included in the query, seven categories will be displayed in the bar chart plus an additional "Other" bar that combines all other categories. Additionally, genomic variables nor variables associated with any-record-of filter (e.g. entire datasets) will not be graphed.
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