Author
Thallman, Richard - Mark | |
COOKE, DAVID - HASTINGS COLL,HASTINGS,NE | |
Bennett, Gary |
Submitted to: Meeting Abstract
Publication Type: Proceedings Publication Acceptance Date: 4/20/2002 Publication Date: 8/19/2002 Citation: Thallman, R.M., Cooke, D.B., Bennett, G.L. 2002. Genoprob: Computation of genotype and grandparental origin probabilities in complex pedigrees with missing marker data. Proceedings of the 7th World Congress on Genetics Applied to Livestock Production. CD-ROM Communication No. 28-09. Montpellier, France. Interpretive Summary: GenoProb analyzes genetic marker data in complex pedigrees with missing marker data using an iterative allelic peeling algorithm. Its output has been used for QTL detection, marker assisted selection, and identification and correction of errors in marker data and pedigrees. It computes the approximate genotypic distribution of marker loci using an incomplete penetrance model that accounts for the possibility of scoring errors in the marker data and can therefore compute the probability of scoring errors. It can also account for unobservable (recessive) marker alleles. GenoProb computes approximate grandparental origin probabilities, which can be used in QTL analysis. A multilocus extension to GenoProb is under development. Computations are proportional to numbers of individuals, loci, and genotypes. Technical Abstract: GenoProb analyzes genetic marker data in complex pedigrees with missing marker data using an iterative allelic peeling algorithm. Its output has been used for QTL detection, marker assisted selection, and identification and correction of errors in marker data and pedigrees. It computes the approximate genotypic distribution of marker loci using an incomplete penetrance model that accounts for the possibility of scoring errors in the marker data and can therefore compute the probability of scoring errors. It can also account for unobservable (recessive) marker alleles. GenoProb computes approximate grandparental origin probabilities, which can be used in QTL analysis. A multilocus extension to GenoProb is under development. Computations are proportional to numbers of individuals, loci, and genotypes. |