Abstract
A simulation study was carried out on a backcross population in order to determine the effect of marker spacing, gene effect and population size on the power of marker-quantitative trait loci (QTL) linkage experiments and on the standard error of maximum likelihood estimates (MLE) of QTL gene effect and map location. Power of detecting a QTL was virtually the same for a marker spacing of 10 cM as for an infinite number of markers and was only slightly decreased for marker spacing of 20 or even 50 cM. The advantage of using interval mapping as compared to single-marker analysis was slight. ``Resolving power'' of a marker-QTL linkage experiment was defined as the 95% confidence interval for the QTL map location that would be obtained when scoring an infinite number of markers. It was found that reducing marker spacing below the resolving power did not add appreciably to narrowing the confidence interval. Thus, the 95% confidence interval with infinite markers sets the useful marker spacing for estimating QTL map location for a given population size and estimated gene effect.
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Selected References
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- Démant P., Hart A. A. Recombinant congenic strains--a new tool for analyzing genetic traits determined by more than one gene. Immunogenetics. 1986;24(6):416–422. doi: 10.1007/BF00377961. [DOI] [PubMed] [Google Scholar]
- Edwards M. D., Stuber C. W., Wendel J. F. Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action. Genetics. 1987 May;116(1):113–125. doi: 10.1093/genetics/116.1.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haley C. S., Knott S. A. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity (Edinb) 1992 Oct;69(4):315–324. doi: 10.1038/hdy.1992.131. [DOI] [PubMed] [Google Scholar]
- Lander E. S., Botstein D. Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989 Jan;121(1):185–199. doi: 10.1093/genetics/121.1.185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paterson A. H., DeVerna J. W., Lanini B., Tanksley S. D. Fine mapping of quantitative trait loci using selected overlapping recombinant chromosomes, in an interspecies cross of tomato. Genetics. 1990 Mar;124(3):735–742. doi: 10.1093/genetics/124.3.735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sax K. The Association of Size Differences with Seed-Coat Pattern and Pigmentation in PHASEOLUS VULGARIS. Genetics. 1923 Nov;8(6):552–560. doi: 10.1093/genetics/8.6.552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spickett S. G., Thoday J. M. Regular responses to selection. 3. Interaction between located polygenes. Genet Res. 1966 Feb;7(1):96–121. doi: 10.1017/s0016672300009502. [DOI] [PubMed] [Google Scholar]
- Weller J. I., Soller M., Brody T. Linkage analysis of quantitative traits in an interspecific cross of tomato (lycopersicon esculentum x lycopersicon pimpinellifolium) by means of genetic markers. Genetics. 1988 Feb;118(2):329–339. doi: 10.1093/genetics/118.2.329. [DOI] [PMC free article] [PubMed] [Google Scholar]