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Negative Selection

Definition
AI-generated

Negative selection (purifying selection) removes or suppresses alleles that reduce fitness—especially strongly deleterious coding, splice, or highly conserved regulatory changes—keeping them rare in populations.

Why it matters in GWAS

Constraint metrics (e.g. loss-of-function intolerance, conservation scores) prioritize coding and regulatory variants for follow-up. Rare-variant association and gene-based tests explicitly model purifying selection on the mutational spectrum; background selection can distort neutral diversity near functional elements and affect calibration of some scans.

Example usage

"The missense variant fell in a highly constrained exon, consistent with strong negative selection against similar changes."

References

  • Eyre-Walker A, Keightley PD. (2007). The distribution of fitness effects of new mutations. Nat Rev Genet.

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