ArticleGenetics2012
Back to basics for Bayesian model building in genomic selection.
Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- HMFGraph: Novel Bayesian approach for recovering biological networks.PLoS computational biology · 2025Article
- MDNN: memetic deep neural network for genomic prediction.Briefings in bioinformatics · 2025Article
- Article
- Genomic prediction in a backcross population using relationship matrices.Archives animal breeding · 2025Article
- A transformer-based genomic prediction method fused with knowledge-guided module.Briefings in bioinformatics · 2023Article
- Conserved QTL and chromosomal inversion affect resistance to columnaris disease in 2 rainbow trout (Oncorhyncus mykiss) populations.G3 (Bethesda, Md.) · 2022Article
- Deep-learning power and perspectives for genomic selection.The plant genome · 2021Article
- Chromosomal characteristics of salt stress heritable gene expression in the rice genome.BMC genomic data · 2021Article
- Genomic Prediction and the Practical Breeding of 12 Quantitative-Inherited Traits in Cucumber (Frontiers in plant science · 2021Article
- Efficient Estimation of Marker Effects in Plant Breeding.G3 (Bethesda, Md.) · 2019Article
- Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models.Heredity · 2019Article
- Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation.Scientific reports · 2019Article
- Two novel genomic regions associated with fearfulness in dogs overlap human neuropsychiatric loci.Translational psychiatry · 2019Article
- Article
- An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Article
- Genomic Prediction of Sunflower Hybrids Oil Content.Frontiers in plant science · 2017Article
- Assessing Predictive Properties of Genome-Wide Selection in Soybeans.G3 (Bethesda, Md.) · 2016Article
- On the Accuracy of Genomic Selection.PloS one · 2016Article
- An Efficient Genome-Wide Multilocus Epistasis Search.Genetics · 2015Article
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2 authors.
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Abstract
Numerous Bayesian methods of phenotype prediction and genomic breeding value estimation based on multilocus association models have been proposed. Computationally the methods have been based either on Markov chain Monte Carlo or on faster maximum a posteriori estimation. The demand for more accurate and more efficient estimation has led to the rapid emergence of workable methods, unfortunately at the expense of well-defined principles for Bayesian model building. In this article we go back to the basics and build a Bayesian multilocus association model for quantitative and binary traits with carefully defined hierarchical parameterization of Student's t and Laplace priors. In this treatment we consider alternative model structures, using indicator variables and polygenic terms. We make the most of the conjugate analysis, enabled by the hierarchical formulation of the prior densities, by deriving the fully conditional posterior densities of the parameters and using the acquired known distributions in building fast generalized expectation-maximization estimation algorithms.
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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.