ArticleGenetics2018
Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors.
Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
44 citing papers in PubMed.
- Uncertainty-aware breeding decisions: MCMC-based optimum contribution selection increases breeding decision robustness.Genetics · 2026Article
- MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.Bioinformatics advances · 2026Article
- mLeveraging genetic correlations to prioritize drug groups for repurposing in type 2 diabetes.The pharmacogenomics journal · 2025Article
- Distinct patterns of genetic overlap among multimorbidities revealed with trivariate MiXeR.Genome medicine · 2025Article
- Bivariate GWAS performed on rabbits divergently selected for intramuscular fat content reveals pleiotropic genomic regions and genes related to meat and carcass quality traits.Genetics, selection, evolution : GSE · 2025Article
- Advances in multi-trait genomic prediction approaches: classification, comparative analysis, and perspectives.Briefings in bioinformatics · 2025Review
- Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.PLoS genetics · 2025Article
- Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases.PLoS genetics · 2024Article
- Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.bioRxiv : the preprint server for biology · 2024Article
- Application of deep learning with bivariate models for genomic prediction of sow lifetime productivity-related traits.Animal bioscience · 2024Article
- Benchmarking machine learning and parametric methods for genomic prediction of feed efficiency-related traits in Nellore cattle.Scientific reports · 2024Article
- Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops.BMC bioinformatics · 2023Article
- Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes.Genetics, selection, evolution : GSE · 2023Article
- Multi-Trait Single-Step Genomic Prediction for Milk Yield and Milk Components for Polish Holstein Population.Animals : an open access journal from MDPI · 2023Article
- (Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers.G3 (Bethesda, Md.) · 2023Article
- A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes.PLoS genetics · 2023Article
- Article
- Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits.Genetics · 2023Article
- Genetic analysis of phenotypic plasticity identifiesFrontiers in plant science · 2023Article
- A Bayesian random regression method using mixture priors for genome-enabled analysis of time-series high-throughput phenotyping data.The plant genome · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bayesian multiple-regression methods incorporating different mixture priors for marker effects are used widely in genomic prediction. Improvement in prediction accuracies from using those methods, such as BayesB, BayesC, and BayesC
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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.