ArticleG3 (Bethesda, Md.)2020
Leveraging Multiple Layers of Data To Predict
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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
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.
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Who cites it
18 citing papers in PubMed.
- Prediction of disease resilience of pigs using multi-omics data.Journal of animal science and biotechnology · 2026Article
- FSBLUP: a novel strategy of fusion similarity matrix construction via optimally integrating intermediate omics data to enhance genomic prediction.Genome biology · 2026Article
- Incorporating transcriptomic data into genomic prediction models to improve the prediction accuracy of phenotypes of efficiency traits.Genetics, selection, evolution : GSE · 2025Article
- Integrating gene expression data via weighted multiple kernel ridge regression improved accuracy of genomic prediction.Genetics, selection, evolution : GSE · 2025Article
- Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Comparing statistical learning methods for complex trait prediction from gene expression.PloS one · 2025Article
- Comparing statistical learning methods for complex trait prediction from gene expression.bioRxiv : the preprint server for biology · 2024Article
- Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley.Genetics, selection, evolution : GSE · 2023Article
- Trans-Acting Genotypes Associated with mRNA Expression Affect Metabolic and Thermal Tolerance Traits.Genome biology and evolution · 2023Article
- Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes.JDS communications · 2023Review
- Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence.G3 (Bethesda, Md.) · 2022Article
- Incorporating kernelized multi-omics data improves the accuracy of genomic prediction.Journal of animal science and biotechnology · 2022Article
- Accounting for overlapping annotations in genomic prediction models of complex traits.BMC bioinformatics · 2022Article
- eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction.BMC genomics · 2022Article
- Genetic evaluation including intermediate omics features.Genetics · 2021Article
- Decoding 'Unnecessary Complexity': A Law of Complexity and a Concept of Hidden Variation Behind "Missing Heritability" in Precision Medicine.Journal of molecular evolution · 2021Review
- Improving Genomic Prediction for Seed Quality Traits in Oat (Avena sativa L.) Using Trait-Specific Relationship Matrices.Frontiers in genetics · 2021Article
- Multi-omics-data-assisted genomic feature markers preselection improves the accuracy of genomic prediction.Journal of animal science and biotechnology · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The ability to accurately predict complex trait phenotypes from genetic and genomic data are critical for the implementation of personalized medicine and precision agriculture; however, prediction accuracy for most complex traits is currently low. Here, we used data on whole genome sequences, deep RNA sequencing, and high quality phenotypes for three quantitative traits in the ∼200 inbred lines of the
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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.