title: Multi-QTL mapping for quantitative traits using epistatic distorted markers.
abstract: The interaction between segregation distortion loci (SDL) has been often observed in all kinds of mapping populations. However, little has been known about the effect of epistatic SDL on quantitative trait locus (QTL) mapping. Here we proposed a multi-QTL mapping approach using epistatic distorted markers. Using the corrected linkage groups, epistatic SDL was identified. Then, these SDL parameters were used to correct the conditional probabilities of QTL genotypes, and these corrections were further incorporated into the new QTL mapping approach. Finally, a set of simulated datasets and a real data in 304 mouse F2 individuals were used to validate the new method. As compared with the old method, the new one corrects genetic distance between distorted markers, and considers epistasis between two linked SDL. As a result, the power in the detection of QTL is higher for the new method than for the old one, and significant differences for estimates of QTL parameters between the two methods were observed, except for QTL position. Among two QTL for mouse weight, one significant difference for QTL additive effect between the above two methods was observed, because epistatic SDL between markers C66 and T93 exists (P = 2.94e-4).
authors.affiliation: Statistical Genomics Group, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Department of Crop Genetics and Breeding, Nanjing Agricultural University, Nanjing, Jiangsu, China.
authors.forename: Shang-Qian
authors.initials: SQ
authors.lastname: Xie
authors.forename: Jia
authors.initials: J
authors.lastname: Wen
authors.forename: Yuan-Ming
authors.initials: YM
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping; D003198:Computer Simulation; D004843:Epistasis, Genetic; D005787:Gene Frequency; D008040:Genetic Linkage; D005819:Genetic Markers / Q000235:genetics*; D005838:Genotype; D008126:Lod Score; D008297:Male; D051379:Mice; D008957:Models, Genetic; D009010:Monte Carlo Method; D010641:Phenotype; D040641:Quantitative Trait Loci
chemical_list: D005819:Genetic Markers