The postmr app processes proteome-wide Mendelian randomisation (MR) results into an annotated CSV for downstream review and reporting.
The processed output includes:
- Protein labels
- Z-scores
- Tier-aware false discovery rate (FDR) information
Use postmr after running a proteome-wide MR analysis, when you want a consistently annotated results file for prioritisation or interpretation.
Before you begin
You will need one or more proteome-wide MR result files.
The app accepts:
.tsvfiles.gzfiles
The maximum upload size is 10 MB.
Name your job
Enter a descriptive name in the Prefix field. This is required.
[Screenshot 1: Red box around the Prefix field.]
For example:
ProteinMR_postprocessingCAD_proteome_MR_resultsInflammation_MR_annotated
Add MR result files
Provide the MR result file or files in the inputs section.
[Screenshot 2: Highlight the inputs section, including Upload New, Select Existing, and From Jobs Output.]
You can provide files in three ways:
- Upload New — Upload one or more files from your computer.
- Select Existing — Choose eligible files already stored in the portal.
- From Jobs Output — Use files produced by a previous Sequoia job.
[Screenshot 3: Red box around the upload area, including the supported formats and 10 MB limit.]
Ensure that the selected files are valid proteome-wide MR outputs and are compatible with the postmr workflow.
Select the MR type
Choose the appropriate option in mr_type. This is required.
[Screenshot 4: Red box around the mr_type dropdown, showing the default “weighted” selection.]
The default setting is weighted. Retain this selection unless your analysis protocol requires a different MR-result type.
Select the analysis setting
Choose the appropriate option in analysis. This is required.
[Screenshot 5: Red box around the analysis dropdown, showing the default “single” selection.]
The default setting is single. Choose another option only when it matches the structure of your input files and planned post-processing workflow.
Select the tier setting
Choose the appropriate option in tier. This is required.
[Screenshot 6: Red box around the tier dropdown, showing the default “whole” selection.]
The selected tier setting determines how the results are processed for tier-aware FDR annotation.
Optional flip setting
Use the flip field only when your post-processing protocol requires an additional flip setting.
[Screenshot 7: Red box around the flip field.]
Leave this field blank unless you have been instructed to enter a value for your specific workflow.
Select a project
Choose the destination project in the project_id dropdown. This is required.
[Screenshot 8: Red box around the project_id dropdown and the note directing users to Research Hub → Projects.]
The processed output file will be saved to this project.
Launch the app
Review the uploaded input files, selected settings, and project. Then select Launch App.
[Screenshot 9: Red box and arrow pointing to “Launch App”.]
When processing is complete, download the annotated CSV from the selected project or the job results area.
Tips
- Use postmr only with compatible proteome-wide MR result files.
- Retain the default settings unless your analysis protocol specifies otherwise.
- Use a clear job prefix to distinguish raw MR runs from post-processed annotated results.
- Review the annotated CSV alongside the original MR results; FDR-adjusted findings should be interpreted together with effect estimates, uncertainty, and biological context.