Sibship reconstruction from genetic data with typing errors.

摘要: Likelihood methods have been developed to partition individuals in a sample into full-sib and half-sib families using genetic marker data without parental information. They invariably make the critical assumption that are free of genotyping errors mutations thus completely reliable inferring sibships. Unfortunately, however, this is rarely tenable for virtually all kinds markers practical use and, if violated, can severely bias sibship estimates as shown by simulations article. I propose new likelihood method with simple robust models typing error incorporated it. Simulations show be used infer full- half-sibships accurately from high rate identify at each locus reconstructed sib family. The also improves previous ones adopting fresh iterative procedure updating allele frequencies sibships taken account, allowing information, efficient algorithms calculating function searching maximum-likelihood configuration. It tested extensively on simulated varying number loci, different rates errors, various sizes family structures applied two empirical sets demonstrate its usefulness.