BMC Proceedings · 2010 · 21 citations · 14 references
Life SciencesBiostatisticsGeneticsGenomic Data AnalysisQuantitative GeneticsStatistical GeneticsQuantitative InheritanceQuantitative Trait AnalysisQuantitative Trait InheritanceQuantitative Trait LociQuantitative Trait Loci MappingQuantitative Trait Locus MappingFamily-based Qtl MappingGrowth Curve ModelsLogistic Growth Curve FittingMulti-trait Qtl MappingQtl DetectionQtl Effect EstimationQtl LocalizationQuantitative Trait Loci (Qtl) Mapping
BACKGROUND: The simulation of the data for the QTLMAS 2009 Workshop is described. Objective was to simulate observations from a growth curve which was influenced by a number of QTL. RESULTS: The data consisted of markers, phenotypes and pedigree. Genotypes of 453 markers, distributed over 5 chromosomes of 1 Morgan each, were simulated for 2,025 individuals. From those, 25 individuals were parents of the other 2,000 individuals. The 25 parents were genetically related. Phenotypes were simulated according to a logistic growth curve and were made available for 1,000 of the 2,000 offspring individuals. The logistic growth curve was specified by three parameters. Each parameter was influenced by six Quantitative Trait Loci (QTL), positioned at the five chromosomes. For each parameter, one QTL had a large effect and five QTL had small effects. Variance of large QTL was five times the variance of small QTL. Simulated data was made available at http://www.qtlmas2009.wur.nl/UK/Dataset/.
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