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."
Related terms¶
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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