title: Efficient parentage assignment and pedigree reconstruction with dense single nucleotide polymorphism data.
abstract: Large numbers of dairy cattle are now routinely genotyped for dense single nucleotide polymorphism (SNP) arrays for the purpose of predicting genomic estimated breeding values. Such SNP arrays contain very good information for parentage assignment and pedigree reconstruction. The main challenge in using this information for parentage assignment and pedigree reconstruction is development of computationally efficient strategies that enable a candidate animal to be assigned its sire and dam with the large volume of data. Here we describe an efficient algorithm for parentage assignment with SNP data and demonstrate very accurate assignment with 50,000-SNP and 3,000-SNP panels. The computer code implementing the algorithm is given in the Appendix.
authors.affiliation: Biosciences Research Division, Department of Primary Industries Victoria, Melbourne, Victoria, Australia 3083. ben.hayes@dip.vic.gov.au
authors.forename: B J
authors.initials: BJ
authors.lastname: Hayes
mesh_terms: D000465:Algorithms; D000818:Animals; D001947:Breeding / Q000379:methods*; D002417:Cattle / Q000235:genetics*; D003198:Computer Simulation; D030541:Databases, Genetic; D005260:Female; D005838:Genotype; D008297:Male; D008957:Models, Genetic; D010375:Pedigree; D020641:Polymorphism, Single Nucleotide