ArticleGenetics2008
Interactions between markers can be caused by the dominance effect of quantitative trait loci.
Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Genomic-based genetic parameters and genome-wide association studies for productive and reproductive traits in Beef-on-Dairy crossbreds.Frontiers in genetics · 2025Article
- An ultra-dense linkage map identified quantitative trait loci corresponding to fruit quality- and size-related traits in red goji berry.Frontiers in plant science · 2024Article
- Molecular Mapping to Discover Reliable Salinity-Resilient QTLs from the Novel Landrace Akundi in Two Bi-Parental Populations Using SNP-Based Genome-Wide Analysis in Rice.International journal of molecular sciences · 2023Article
- Effects of the quantitative trait locus qPss3 on inhibition of photoperiod sensitivity and resistance to stalk rot disease in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis.Frontiers in plant science · 2023Article
- Genetic analysis of heat tolerance in hot pepper: insights from comprehensive phenotyping and QTL mapping.Frontiers in plant science · 2023Article
- AAQSP increases mapping resolution of stable QTLs through applying NGS-BSA in multiple genetic backgrounds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Combined QTL Mapping across Multiple Environments and Co-Expression Network Analysis Identified Key Genes for Embryogenic Callus Induction from Immature Maize Embryos.International journal of molecular sciences · 2022Article
- GAHP: An integrated software package on genetic analysis with bi-parental immortalized heterozygous populations.Frontiers in genetics · 2022Article
- Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations.The Journal of heredity · 2019Article
- Improving the Glossiness of Cooked Rice, an Important Component of Visual Rice Grain Quality.Rice (New York, N.Y.) · 2019Article
- An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F2.Briefings in bioinformatics · 2019Article
- Identification and mapping of QTLs associated with drought tolerance traits in rice by a cross between Super Basmati and IR55419-04.Breeding science · 2019Article
- Article
- Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice.Rice (New York, N.Y.) · 2017Article
- Background controlled QTL mapping in pure-line genetic populations derived from four-way crosses.Heredity · 2017Article
- Climate Clever Clovers: New Paradigm to Reduce the Environmental Footprint of Ruminants by Breeding Low Methanogenic Forages Utilizing Haplotype Variation.Frontiers in plant science · 2017Article
- Identification of BnaYUCCA6 as a candidate gene for branch angle in Brassica napus by QTL-seq.Scientific reports · 2016Article
- Fine mapping of a quantitative trait locus conferring resistance to maize rough dwarf disease.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
- Quantitative trait locus mapping with background control in genetic populations of clonal F1 and double cross.Journal of integrative plant biology · 2015Article
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4 authors.
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Abstract
F(2) populations are commonly used in genetic studies of animals and plants. For simplicity, most quantitative trait locus or loci (QTL) mapping methods have been developed on the basis of populations having two distinct genotypes at each polymorphic marker or gene locus. In this study, we demonstrate that dominance can cause the interactions between markers and propose an inclusive linear model that includes marker variables and marker interactions so as to completely control both additive and dominance effects of QTL. The proposed linear model is the theoretical basis for inclusive composite-interval QTL mapping (ICIM) for F(2) populations, which consists of two steps: first, the best regression model is selected by stepwise regression, which approximately identifies markers and marker interactions explaining both additive and dominance variations; second, the interval mapping approach is applied to the phenotypic values adjusted by the regression model selected in the first step. Due to the limited mapping population size, the large number of variables, and multicollinearity between variables, coefficients in the inclusive linear model cannot be accurately determined in the first step. Interval mapping is necessary in the second step to fine tune the QTL to their true positions. The efficiency of including marker interactions in mapping additive and dominance QTL was demonstrated by extensive simulations using three QTL distribution models with two population sizes and an actual rice F(2) population.
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