Skip to main content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Genetics. 1993 Jul; 134(3): 943–951.
PMCID: PMC1205528
PMID: 8349116

Detecting Marker-Qtl Linkage and Estimating Qtl Gene Effect and Map Location Using a Saturated Genetic Map

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.

Full Text

The Full Text of this article is available as a PDF (943K).

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  • Démant P, Hart AA. Recombinant congenic strains--a new tool for analyzing genetic traits determined by more than one gene. Immunogenetics. 1986;24(6):416–422. [PubMed] [Google Scholar]
  • Edwards MD, Stuber CW, Wendel JF. 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. [PMC free article] [PubMed] [Google Scholar]
  • Haley CS, Knott SA. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity (Edinb) 1992 Oct;69(4):315–324. [PubMed] [Google Scholar]
  • Lander ES, Botstein D. Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989 Jan;121(1):185–199. [PMC free article] [PubMed] [Google Scholar]
  • Paterson AH, DeVerna JW, Lanini B, Tanksley SD. Fine mapping of quantitative trait loci using selected overlapping recombinant chromosomes, in an interspecies cross of tomato. Genetics. 1990 Mar;124(3):735–742. [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. [PMC free article] [PubMed] [Google Scholar]
  • Spickett SG, Thoday JM. Regular responses to selection. 3. Interaction between located polygenes. Genet Res. 1966 Feb;7(1):96–121. [PubMed] [Google Scholar]
  • Weller JI, 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. [PMC free article] [PubMed] [Google Scholar]

Articles from Genetics are provided here courtesy of Oxford University Press

-