ArticleGenetics2020
A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits.
Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Article
- MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.Bioinformatics advances · 2026Article
- Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium.Journal of animal science and biotechnology · 2025Article
- Harnessing genomic prediction in Brassica napus through a nested association mapping population.The plant genome · 2025Article
- Using encrypted genotypes and phenotypes for collaborative genomic analyses to maintain data confidentiality.Genetics · 2024Article
- Interpreting single-step genomic evaluation as a neural network of three layers: pedigree, genotypes, and phenotypes.Genetics, selection, evolution : GSE · 2023Article
- [Establishment and validation of a risk prediction model for disseminated intravascular coagulation patients with electrical burns].Zhonghua shao shang yu chuang mian xiu fu za zhi · 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
- FSF-GA: A Feature Selection Framework for Phenotype Prediction Using Genetic Algorithms.Genes · 2023Article
- A Bayesian random regression method using mixture priors for genome-enabled analysis of time-series high-throughput phenotyping data.The plant genome · 2022Article
- DNA methylation profile in beef cattle is influenced by additive genetics and age.Scientific reports · 2022Article
- A new approach fits multivariate genomic prediction models efficiently.Genetics, selection, evolution : GSE · 2022Article
- Extend mixed models to multilayer neural networks for genomic prediction including intermediate omics data.Genetics · 2022Article
- Disentangling key species interactions in diverse and heterogeneous communities: A Bayesian sparse modelling approach.Ecology letters · 2022Article
- XSim version 2: simulation of modern breeding programs.G3 (Bethesda, Md.) · 2022Article
- Effects of common full-sib families on accuracy of genomic prediction for tagging weight in striped catfishFrontiers in genetics · 2022Article
- Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies.G3 (Bethesda, Md.) · 2021Article
- Single-Trait and Multiple-Trait Genomic Prediction From Multi-Class Bayesian Alphabet Models Using Biological Information.Frontiers in genetics · 2021Article
- Favorable Conditions for Genomic Evaluation to Outperform Classical Pedigree Evaluation Highlighted by a Proof-of-Concept Study in Poplar.Frontiers in plant science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of quantitative traits is presented and applied to two real data sets. The data-generating model is a multivariate linear Bayesian regression on possibly a huge number of molecular markers, and with a Gaussian residual distribution posed. Each (one per marker) of the [Formula: see text] vectors of regression coefficients (
Indexed as
Identifiers
What OpenQuestion holds
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.