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Collider Bias

Definition
AI-generated

Collider bias arises when two variables both influence whether an individual is included in an analysis (or stratum), and conditioning on that inclusion opens a non-causal path between them, inducing spurious association or attenuating true effects.

Topics

Why it matters in GWAS

Selection on disease severity, survival, biobank participation, or other post-outcome variables can distort genetic associations and downstream MR; within-family designs and careful phenotype definition partly mitigate selection-related collider structures.

Example usage

"Interpreting ICU survival GWAS required caution because conditioning on hospitalization can induce collider bias between genetics and acute severity."

References

  • Munafò MR, et al. (2018). Collider scope: when selection bias can substantially influence observed associations. Int J Epidemiol.
  • Uffelmann E, et al. (2021). Genome-wide association studies. Nat Rev Methods Primers. https://doi.org/10.1038/s43586-021-00056-9

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