Informativeness of genetic markers for pairwise relationship and relatedness inference.

摘要: Abstract Measuring the information content of markers in relationship/relatedness inferences is important selecting highly informative to attain a given statistical power with minimal genotyping effort. Using information-theoretic principles, I introduce informativeness for relationship ( R ) and relatedness r measure amount provided by inferring pairwise relationships ), respectively. also propose fast accurate algorithm calculate (PW set differentiating two candidate relationships, reciprocal mean squared deviations estimates (RMSD) actually used an estimator estimating relatedness. All four measurements , PW RMSD) apply dominant codominant markers, haploid diploid individuals, take into account mutations typing errors data. The properties their are investigated analytically examined applying these methods simulated empirical