ArticleBMC proceedings2010
QTLMAS 2009: simulated dataset.
Article in BMC proceedings, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data.Bioinformatics (Oxford, England) · 2019Article
- A robust multiple-locus method for quantitative trait locus analysis of non-normally distributed multiple traits.Heredity · 2015Article
- Multi-Trait GWAS and New Candidate Genes Annotation for Growth Curve Parameters in Brahman Cattle.PloS one · 2015Article
- Article
- XVth QTLMAS: simulated dataset.BMC proceedings · 2012Article
- Simultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modeling.Heredity · 2012Article
- QTL detection for a medium density SNP panel: comparison of different LD and LA methods.BMC proceedings · 2010Article
- Simultaneous QTL detection and genomic breeding value estimation using high density SNP chips.BMC proceedings · 2010Article
- Comparison of analyses of the QTLMAS XIII common dataset. I: genomic selection.BMC proceedings · 2010Article
- Comparison of analyses of the QTLMAS XIII common dataset. II: QTL analysis.BMC proceedings · 2010Article
- A two-step approach combining the Gompertz growth model with genomic selection for longitudinal data.BMC proceedings · 2010Article
- Comparison of methods for estimation of genetic covariance matrix from SNP or pedigree data utilised to predict breeding value.BMC proceedings · 2010Article
- Genome-wide selection by mixed model ridge regression and extensions based on geostatistical models.BMC proceedings · 2010Article
- Genomic breeding value prediction using three Bayesian methods and application to reduced density marker panels.BMC proceedings · 2010Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
resultsThe 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.