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KING-Robust Kinship

Definition
AI-generated

KING-robust kinship refers to relationship inference implemented in the KING method family, designed to remain reliable when population allele frequencies are estimated with error—unlike some classical estimators that assume accurate AFs.

Why it matters in GWAS

Large biobanks mix ancestries and often lack perfect AF estimates; KING-style metrics support duplicate detection, cryptic relatedness filtering, and choosing unrelated subsets for PCA or LMM without over-relying on a single homogeneous reference panel.

Example usage

"Estimated KING-Robust Kinship was used to identify close relatives before association testing."

References

  • Manichaikul A, et al. (2010). Robust relationship inference in genome-wide association studies. Bioinformatics.
  • PLINK 2.0 KING: https://www.cog-genomics.org/plink/2.0/distance#make%5Fking

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