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False Discovery Rate (FDR)

Definition
AI-generated

The false discovery rate is the expected proportion of false positives among rejected null hypotheses.

Topics
Probability and inference
Related
Bonferroni Correction Genome-Wide Association Study (GWAS) Multiple Testing Correction

Why it matters in GWAS

Variant-level analysis usually targets genome-wide significance; FDR is common for gene-level, pathway, eQTL-style, or secondary screens where many correlated tests need interpretable discovery lists rather than a single strict α.

Example usage

"We reported genes with MAGMA FDR < 0.05 and pathways with Benjamini–Hochberg FDR 5%."

Bonferroni Correction Genome-Wide Association Study (GWAS) Multiple Testing Correction Pathway Analysis Phenome-Wide Association Study (PheWAS)
Related-term network

Click any node to open that term page.

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

  • Benjamini Y, Hochberg Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B.
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