- Description
- KING is a rapid algorithm for relationship inference using high-throughput genotype data typical of GWAS that allows the presence of an unknown population substructure. The relationship of any pair of individuals can be precisely inferred by robust estimation of their kinship coefficient, independent of sample composition or population structure (sample invariance). KING performs properly even under extreme population stratification, while algorithms assuming a homogeneous population give systematically biased results. KING performs relationship inference on millions of pairs of individuals in the order of minutes.