Step 1. Load data        Download Demo Data ZOOM IN
  • Import Import
  • View View
  • Update Update
  • Validate Validate
  • Filter Filter



No data selected! Use a data.frame from your environment or from the environment of a package.

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No file selected: You can import .csv, .txt, .tsv, .xls, .xlsx files

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Nothing pasted yet! Please paste a valid link in the dialog box above. You can import from flat table format supported by package rio


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info-light Select, rename and convert variables in table above, then apply changes by clicking button below.


Number of rows:
Step 2. Choose variables
The input file for this application can directly use the MR results exported from MMR analysis (API or LOCAL), which simultaneously includes two-sample MR results for "Exposure to Outcome", "Exposure to Mediation", and "Mediation to Outcome."
[required] BETA, one. This represents the effect size estimate of the genetic variant on the outcome or exposure in the MR analysis. [required] SE, one. The standard error (SE) is a measure of the precision of the beta estimate. [required] lo_ci, one, Lower Confidence Interval. The lower bound of the confidence interval (typically 95%) for the beta estimate. [required] up_ci, one, Upper Confidence Interval. The upper bound of the confidence interval (typically 95%) for the beta estimate. [required] PVAL, one. The p-value associated with the beta coefficient. [required] Group, one. This column indicates the specific analysis group in the MR study. In multi-step MR, you must contain three groups: "E2O" or "Exposure to Outcome", "E2M" or "Exposure to Mediation" and "M2O" or "Mediation to Outcome".
Step 3. Plot!