ArticleGenetics2017
Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Genomic Selection for Economic Traits in Inner Mongolia Cashmere Goats by Integrating GWAS Prior Information.Veterinary sciences · 2025Article
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditions.The plant genome · 2025Article
- Genomic Prediction of Semen Traits in Boars Incorporating Biological Interactions.International journal of molecular sciences · 2024Article
- Genomic prediction based on preselected single-nucleotide polymorphisms from genome-wide association study and imputed whole-genome sequence data annotation for growth traits in Duroc pigs.Evolutionary applications · 2024Article
- Comparison of the Accuracy of Epistasis and Haplotype Models for Genomic Prediction of Seven Human Phenotypes.Biomolecules · 2023Article
- Incorporating kernelized multi-omics data improves the accuracy of genomic prediction.Journal of animal science and biotechnology · 2022Article
- Article
- Impact of linkage disequilibrium heterogeneity along the genome on genomic prediction and heritability estimation.Genetics, selection, evolution : GSE · 2022Article
- Article
- Incorporation of Trait-Specific Genetic Information into Genomic Prediction Models.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Incorporating Omics Data in Genomic Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Genomic Prediction: Progress and Perspectives for Rice Improvement.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Genomic Prediction Using LD-Based Haplotypes in Combined Pig Populations.Frontiers in genetics · 2022Article
- Validation of the Prediction Accuracy for 13 Traits in Chinese Simmental Beef Cattle Using a Preselected Low-Density SNP Panel.Animals : an open access journal from MDPI · 2021Article
- Opportunities and Challenges of Predictive Approaches for Harnessing the Potential of Genetic Resources.Frontiers in plant science · 2021Article
- Multi-omics-data-assisted genomic feature markers preselection improves the accuracy of genomic prediction.Journal of animal science and biotechnology · 2020Article
- On Hadamard and Kronecker products in covariance structures for genotype × environment interaction.The plant genome · 2020Article
- Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs.Genes · 2020Review
- Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize.Genetics · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Today, genomic prediction (GP) is an established technology in plant and animal breeding programs. Current standard methods are purely based on statistical considerations but do not make use of the abundant biological knowledge, which is easily available from public databases. Major questions that have to be answered before biological prior information can be used routinely in GP approaches are which types of information can be used, and at which points they can be incorporated into prediction methods. In this study, we propose a novel strategy to incorporate gene annotation into GP of complex phenotypes by defining haploblocks according to gene positions. Haplotype effects are then modeled as categorical or as numerical allele dosage variables. The underlying concept of this approach is to build the statistical model on variables representing the biologically functional units. We evaluate the new methods with data from a heterogeneous stock mouse population, 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.