ArticleBMC proceedings2011
Pre-selection of markers for genomic selection.
Article in BMC proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Genetic dissection and genomic prediction for pork cuts and carcass morphology traits in pig.Journal of animal science and biotechnology · 2023Article
- Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences.Nature communications · 2023Article
- Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study.Obesity science & practice · 2022Article
- High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- BWGS: A R package for genomic selection and its application to a wheat breeding programme.PloS one · 2020Article
- SNP variable selection by generalized graph domination.PloS one · 2019Article
- Genomic assisted selection for enhancing line breeding: merging genomic and phenotypic selection in winter wheat breeding programs with preliminary yield trials.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Genomic Selection Using Extreme Phenotypes and Pre-Selection of SNPs in Large Yellow Croaker (Larimichthys crocea).Marine biotechnology (New York, N.Y.) · 2016Article
- Comparative analysis of the GBLUP, emBayesB, and GWAS algorithms to predict genetic values in large yellow croaker (Larimichthys crocea).BMC genomics · 2016Article
- Genomic selection across multiple breeding cycles in applied bread wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
- Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction.Genetics · 2016Article
- Effects of single nucleotide polymorphism marker density on degree of genetic variance explained and genomic evaluation for carcass traits in Japanese Black beef cattle.BMC genetics · 2014Article
- Comparisons of single-stage and two-stage approaches to genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Nonparametric method for genomics-based prediction of performance of quantitative traits involving epistasis in plant breeding.PloS one · 2012Article
- Comparison of analyses of the QTLMAS XIV common dataset. I: genomic selection.BMC proceedings · 2011Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate prediction of genomic breeding values (GEBVs) requires numerous markers. However, predictive accuracy can be enhanced by excluding markers with no effects or with inconsistent effects among crosses that can adversely affect the prediction of GEBVs.
methodsWe present three different approaches for pre-selecting markers prior to predicting GEBVs using four different BLUP methods, including ridge regression and three spatial models. Performances of the models were evaluated using 5-fold cross-validation. RESULTS AND
conclusionsRidge regression and the spatial models gave essentially similar fits. Pre-selecting markers was evidently beneficial since excluding markers with inconsistent effects among crosses increased the correlation between GEBVs and true breeding values of the non-phenotyped individuals from 0.607 (using all markers) to 0.625 (using pre-selected markers). Moreover, extension of the ridge regression model to allow for heterogeneous variances between the most significant subset and the complementary subset of pre-selected markers increased predictive accuracy (from 0.625 to 0.648) for the simulated dataset for the QTL-MAS 2010 workshop.
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Registered trials
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.