Submitted to: Journal of Animal Science Supplement
Publication Type: Abstract Only
Publication Acceptance Date: May 1, 2004
Publication Date: June 15, 2004
Citation: Reisenauer, V.L., Macneil, M.D. 2004. Sas tools to facilitate qtl discovery. Journal of Animal Science Supplement 82(2):109. Technical Abstract: The objective was to develop data management tools using SAS® that facilitate searching for quantitative trait loci (QTL). Genotypes were surveyed for six F1 bulls and 159 markers selected after being found informative in at least four bulls and providing an inter-marker interval less than 20 cM. Genotypes (N=162,816) generated using PCR® and Li-COR GeneReader 4200® are scored by two people. Seven SAS® applications were developed: A1) marker_in, A2) animal_in, A3) plate_in, A4) genotype_in, A5) compare, A6) crimap, and A7) simplify. A1-A4 generate a series of data files. The file from A1 is keyed by marker name and contains its chromosome number and map position. Files from A2-A4 are keyed by animal number. The file from A2 contains sire, dam, and sex of each animal. The file from A3 contains the microtiter plate number and cell containing DNA from each animal and the electrophoresis gel lane assigned to that animal. A4 facilitates entry of genotypic scores generating separate files for each scorer; 1XYZgen or 2XYZgen (XYZ is marker name). A5 compares the files from A4 and produces four new files. The 'zero' file identifies animals with genotypes not scored by either scorer. The 'discrepancy' file identifies animals with genotypes not agreed upon by both scorers. The 'zero' and 'discrepancy' files also contain the microtiter plate location for that animal's DNA. The 'good' file identifies animals and their genotype when both scorers agreed. The 'good-zero' file merges data from the 'good' and 'zero' files. A6 assembles data for a chromosome from the 'good-zero' files and creates an input file for CRI-MAP. A7 simplifies CRI-MAP output for resolving non-inheritances using animal ID and marker to generate a file containing animal ID, related marker genotype, sire and dam ID and genotypes. WINDOW, DISPLAY, and TRUNCOVER statements and macro facility, CALL SYMPUT were used in several of these applications. Applications of SAS® described here save labor and improve data integrity in conducting whole-genome searches for QTL.