ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2008
Inclusive composite interval mapping (ICIM) for digenic epistasis of quantitative traits in biparental populations.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.
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157 citing papers in PubMed, 1 synthesis or guideline pooled it, 377 citations in OpenAlex.
- QTL mapping of yield-associated traits in Brassica juncea: meta-analysis and epistatic interactions using two different crosses between east European and Indian gene pool lines.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Pooled it
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- Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments.Plants (Basel, Switzerland) · 2025Article
- Identification of HSSP1 as a regulator of soybean protein content through QTL analysis and Soy-SPCC network.Plant biotechnology journal · 2025Article
- Joint linkage and association analysis identifies genomic regions and candidate genes for yield-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association analysis and genomic selection for leaf-related traits of maize.PloS one · 2025Article
- QTL analysis of native Fusarium head blight and deoxynivalenol resistance in 'D8006W'/'Superior', soft white winter wheat population.BMC plant biology · 2024Article
- Two dwarfing genes Rht-B1b and Rht-D1b show pleiotropic effects on grain protein content in bread wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic Analysis of an FInternational journal of molecular sciences · 2024Article
97 more citing papers are in PubMed but not listed here.
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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
It has long been recognized that epistasis or interactions between non-allelic genes plays an important role in the genetic control and evolution of quantitative traits. However, the detection of epistasis and estimation of epistatic effects are difficult due to the complexity of epistatic patterns, insufficient sample size of mapping populations and lack of efficient statistical methods. Under the assumption of additivity of QTL effects on the phenotype of a trait in interest, the additive effect of a QTL can be completely absorbed by the flanking marker variables, and the epistatic effect between two QTL can be completely absorbed by the four marker-pair multiplication variables between the two pairs of flanking markers. Based on this property, we proposed an inclusive composite interval mapping (ICIM) by simultaneously considering marker variables and marker-pair multiplications in a linear model. Stepwise regression was applied to identify the most significant markers and marker-pair multiplications. Then a two-dimensional scanning (or interval mapping) was conducted to identify QTL with significant digenic epistasis using adjusted phenotypic values based on the best multiple regression model. The adjusted values retain the information of QTL on the two current mapping intervals but exclude the influence of QTL on other intervals and chromosomes. Epistatic QTL can be identified by ICIM, no matter whether the two interacting QTL have any additive effects. Simulated populations and one barley doubled haploids (DH) population were used to demonstrate the efficiency of ICIM in mapping both additive QTL and digenic interactions.
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