domains / families / science / pleiotropy-detection

pleiotropy-detection

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Detect and adjust for horizontal pleiotropy in two-sample Mendelian randomization by distinguishing uncorrelated (UHP) from correlated (CHP) pleiotropy and choosing among Egger, MR-PRESSO, MR-RAPS, CAUSE, LHC-MR, LCV, MR-Clust, MR-Mix, and contamination-mixture methods. Use when validating an MR causal claim, running the STROBE-MR sensitivity battery, suspecting a shared heritable confounder, working under weak-instrument or polygenic-exposure regimes, or reconciling discordant estimates across robust methods.

When to use

• validating an MR causal claim
• running the STROBE-MR sensitivity battery
• suspecting a shared heritable confounder
• working under weak-instrument or polygenic-exposure regimes
• reconciling discordant estimates across robust methods
• decomposing violations of the exclusion-restriction assumption
• distinguishing uncorrelated horizontal pleiotropy (UHP) from correlated horizontal pleiotropy (CHP)

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