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Bonferroni Correction

Definition
AI-generated

Bonferroni correction controls the family-wise error rate by testing each of *m* hypotheses at level α/m (or equivalently comparing p-values to α/m).

Topics
Probability and inference
Related
False Discovery Rate (FDR) Genome-Wide Association Study (GWAS) Linkage Disequilibrium (LD)

Why it matters in GWAS

Understanding Bonferroni clarifies why naive per-SNP α = 0.05 is invalid at genome scale and motivates the 5×10⁻⁸ convention as an approximate FWER target; Bonferroni may still appear for small hypothesis families (e.g. a prespecified set of traits or genes).

Example usage

"After testing 12 candidate pathways, we applied a Bonferroni correction and treated p-values below 0.05/12 as significant."

False Discovery Rate (FDR) Genome-Wide Association Study (GWAS) Linkage Disequilibrium (LD) Multiple Testing Correction Statistical Power
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References

  • Dunn OJ. (1961). Multiple comparisons among means. J Am Stat Assoc.
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