ArticleG3 (Bethesda, Md.)2020
Influence of Genetic Interactions on Polygenic Prediction.
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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Genomic Predicted cross performance: a tool for optimizing parental combinations in breeding programs.Database : the journal of biological databases and curation · 2025Article
- Enhancing genomic prediction inFrontiers in bioinformatics · 2025Article
- Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement.Genome medicine · 2024Article
- Comparison of machine learning methods for genomic prediction of selected Arabidopsis thaliana traits.PloS one · 2024Article
- Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024Article
- Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations.bioRxiv : the preprint server for biology · 2023Article
- Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective.Annual review of biomedical data science · 2023Review
- Article
- Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models.PloS one · 2022Article
- The correlation of substitution effects across populations and generations in the presence of nonadditive functional gene action.Genetics · 2021Article
- Deciphering pathogenicity of variants of uncertain significance with CRISPR-edited iPSCs.Trends in genetics : TIG · 2021Review
- Perspectives on Applications of Hierarchical Gene-To-Phenotype (G2P) Maps to Capture Non-stationary Effects of Alleles in Genomic Prediction.Frontiers in plant science · 2021Article
- Pygmalion in the Genes? On the potentially negative impacts of polygenic scores for educational attainment.Social psychology of education : an international journal · 2021Article
- Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models.G3 (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prediction of phenotypes from genotypes is an important objective to fulfill the promises of genomics, precision medicine and agriculture. Although it's now possible to account for the majority of genetic variation through model fitting, prediction of phenotypes remains a challenge, especially across populations that have diverged in the past. In this study, we designed simulation experiments to specifically investigate the role of genetic interactions in failure of polygenic prediction. We found that non-additive genetic interactions can significantly reduce the accuracy of polygenic prediction. Our study demonstrated the importance of considering genetic interactions in genetic prediction.
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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.