ArticleGenetics2018
Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population.
Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 49 citations in OpenAlex.
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Mean and variance heterogeneity loci impact kernel compositional traits in maize.The plant genome · 2025Article
- Recombination and structural variation in a large 8-founder wheat MAGIC population.G3 (Bethesda, Md.) · 2025Article
- Historic rewiring of grass flowering time pathways and implications for crop improvement under climate change.The New phytologist · 2025Review
- Review
- Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat.International journal of molecular sciences · 2023Article
- Identifying developmental QTL alleles with favorable effect on grain yield components under late-terminal drought in spring barley MAGIC population.Plant direct · 2023Article
- Overexpression of the WAPO-A1 gene increases the number of spikelets per spike in bread wheat.Scientific reports · 2022Article
- Article
- Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci.G3 (Bethesda, Md.) · 2022Article
- Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton.Communications biology · 2022Article
- Pyramiding of scald resistance genes in four spring barley MAGIC populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes.Biology · 2021Article
- Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways.PLoS computational biology · 2021Article
- Genomic Prediction of Grain Yield in a Barley MAGIC Population Modeling Genotype per Environment Interaction.Frontiers in plant science · 2021Article
- Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding.Heredity · 2020Review
- Estimating Linear and Nonlinear Gene Coexpression Networks by Semiparametric Neighborhood Selection.Genetics · 2020Article
- The role of epistasis and its interaction with environment in fine-tuning heading time in barley.Journal of experimental botany · 2020Article
- Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele.Journal of experimental botany · 2020Article
- Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations.The Journal of heredity · 2019Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene-by-gene interactions, also known as epistasis, regulate many complex traits in different species. With the availability of low-cost genotyping it is now possible to study epistasis on a genome-wide scale. However, identifying genome-wide epistasis is a high-dimensional multiple regression problem and needs the application of dimensionality reduction techniques. Flowering Time (FT) in crops is a complex trait that is known to be influenced by many interacting genes and pathways in various crops. In this study, we successfully apply Sure Independence Screening (SIS) for dimensionality reduction to identify two-way and three-way epistasis for the FT trait in a Multiparent Advanced Generation Inter-Cross (MAGIC) barley population using the Bayesian multilocus model. The MAGIC barley population was generated from intercrossing among eight parental lines and thus, offered greater genetic diversity to detect higher-order epistatic interactions. Our results suggest that SIS is an efficient dimensionality reduction approach to detect high-order interactions in a Bayesian multilocus model. We also observe that many of our findings (genomic regions with main or higher-order epistatic effects) overlap with known candidate genes that have been already reported in barley and closely related species for the FT trait.
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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.