Literature DB >> 24173065

A correlation method for detecting and estimating linkage between a marker locus and a quantitative trait locus using inbred lines.

Z Hu1, X Zhang, C Xie, G R McDaniel, D L Kuhlers.   

Abstract

The advent of molecular genetic markers has stimulated interest in detecting linkage between a marker locus and a quantitative trait locus (QTL) because the marker locus, even without direct effect on the quantitative trait, could be useful in increasing the response to selection. A correlation method for detecting and estimating linkage between a marker locus and a QTL is described using selfing and sib-mating populations. Computer simulations were performed to estimate the power of the method, the sample size (N) needed to detect linkage, and the recombination value (r). The power of this method was a function of the expected recombination value E(r), the standardized difference (d) between the QTL genotypic means, and N. The power was highest at complete linkage, decreased with an increase in E(r), and then increased at E(r)=0.5. A larger d and N led to a higher power. The sample size needed to detect linkage was dependent upon E(r) and d. The sample size had a minimum value at E(r)=0, increased with an increase in E(r) and a decrease in d. In general, the r was overestimated. With an increase in d, the r was closer to its expectation. Detection of linkage by the proposed method under incomplete linkage was more efficient than estimation of recombination values. The correlation method and the method of comparison of marker-genotype means have a similar power when there is linkage, but the former has a slightly higher power than the latter when there is no linkage.

Year:  1995        PMID: 24173065     DOI: 10.1007/BF00222924

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  9 in total

1.  Inbreeding and Linkage.

Authors:  J B Haldane; C H Waddington
Journal:  Genetics       Date:  1931-07       Impact factor: 4.562

2.  Detection of linkage between quantitative trait loci and restriction fragment length polymorphisms using inbred lines.

Authors:  S P Simpson
Journal:  Theor Appl Genet       Date:  1989-06       Impact factor: 5.699

3.  The detection and estimation of linkage using doubled haploid or single seed descent populations.

Authors:  J W Snape
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

4.  Marker-based mapping of quantitative trait loci using replicated progenies.

Authors:  M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1990-08       Impact factor: 5.699

5.  Using molecular markers to map multiple quantitative trait loci: models for backcross, recombinant inbred, and doubled haploid progeny.

Authors:  S J Knapp
Journal:  Theor Appl Genet       Date:  1991-03       Impact factor: 5.699

6.  Mapping quantitative trait loci using molecular marker linkage maps.

Authors:  S J Knapp; W C Bridges; D Birkes
Journal:  Theor Appl Genet       Date:  1990-05       Impact factor: 5.699

7.  Power of different sampling strategies to detect quantitative trait loci variance effects.

Authors:  J I Weller; A Wyler
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

8.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

9.  Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers.

Authors:  J I Weller
Journal:  Biometrics       Date:  1986-09       Impact factor: 2.571

  9 in total
  2 in total

1.  QTL mapping for combining ability in different population-based NCII designs: a simulation study.

Authors:  Lanzhi Li; Congwei Sun; Yuan Chen; Zhijun Dai; Zhen Qu; Xingfei Zheng; Sibin Yu; Tongmin Mou; Chenwu Xu; Zhongli Hu
Journal:  J Genet       Date:  2013-12       Impact factor: 1.166

2.  Dominance, overdominance and epistasis condition the heterosis in two heterotic rice hybrids.

Authors:  Lanzhi Li; Kaiyang Lu; Zhaoming Chen; Tongmin Mu; Zhongli Hu; Xinqi Li
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

  2 in total

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