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Multiple Testing Correction

Definition
AI-generated

Multiple-testing correction adjusts significance thresholds or p-values when many correlated tests are performed (one per SNP).

Topics
Probability and inference
Related
Bonferroni Correction False Discovery Rate (FDR) Genomic Inflation Factor

Why it matters in GWAS

Without correction, the chance of a null peak crossing an arbitrary nominal threshold is high; correction defines reproducible discovery while methods like genomic inflation and LDSC refine calibration.

Example usage

"The analysis framework includes Multiple Testing Correction to quantify evidence and compare competing hypotheses."

Bonferroni Correction False Discovery Rate (FDR) Genomic Inflation Factor Genome-Wide Association Study (GWAS) Pathway Analysis Phenome-Wide Association Study (PheWAS) Quality Control (QC) Winner's curse
Related-term network

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Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Dudbridge A, Gusnanto A. (2008). Estimation of significance thresholds for genomewide association scans. Genet Epidemiol.
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