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United States Department of Agriculture

Agricultural Research Service

Title: MULTILOCUS ITERTAIVE ALLETIC PEELING OF MARKER GENOTYPES GENERATED FROM A LINEBRED ANGUS POPULATION DIVERGENTLY SELECTED FOR RESISTANCE TO GATROINTESTINAL NEMATODES.)

Author
item Van Tassell, Curtis - Curt
item Thallman, Richard - Mark
item Sonstegard, Tad
item Gasbarre, Louis
item Padilha, Terezinha

Submitted to: Animal Genetics International Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 5/25/2002
Publication Date: 8/11/2002
Citation: Van Tassell, C.P., Thallman, R.M., Sonstegard, T.S., Gasbarre, L.C., Padilha, T. 2002. Multilocus itertaive alletic peeling of marker genotypes generated from a linebred angus population divergently selected for resistance to gatrointestinal nematodes. International Conference on Animal Genetics.

Interpretive Summary:

Technical Abstract: Gastrointestinal nematodes can dramatically affect efficiency of cattle raised on pasture, and therefore, a selection program was initiated to investigate the role of host genetics on disease and parasite transmission. The objective of this study was to test the performance of GenoProb software for QTL analyses on this population. The population consists of over 300 progeny representing four generations of divergent selection for resistance to parasite infection. The parental animals were derived from a linebred Angus population descended from a single bull born in 1944. This historic portion of the pedigree spans another five generations. The complete pedigree included information for 931 animals, and 383 of those had genotypic data recorded for 196 microsatellite markers. GenoProb provided a solution for this complex pedigree by implementing multilocus iterative allelic peeling and was used to calculate genotype probabilities for each individual represented in the pedigree. GenoProb uses an incomplete penetrance model for marker data and generates probabilities of scoring errors. These probabilities identified animals with likely pedigree errors and problem markers that needed additional analysis to generate correct marker data. Finally, inheritance probabilities calculated were used for a quantitative trait locus analyses.

Last Modified: 8/24/2016
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