Literature DB >> 24190538

Detection of additive and dominance effects of QTLs in interval mapping of F2 RFLP data.

T Hayashi1, Y Ukai.   

Abstract

A model for interval mapping of quantitative trait loci (QTLs) in an F2 population using genetic markers such as restriction fragment length polymorphisms (RFLPs) is proposed. Based on this model the log-likelihood ratio statistic is divided into two useful statistics which can be used to detect additive and dominance effects of QTLs, separately. The properties of the two statistics were investigated for the theoretical construction of critical regions to test the gene action of QTLs. The model was applied to 1000 simulated-sets of 200 F2 individuals.

Year:  1994        PMID： 24190538     DOI： 10.1007/BF00225798

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


  6 in total

1.  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

2.  On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines.

Authors:  M Soller; T Brody; A Genizi
Journal:  Theor Appl Genet       Date:  1976-01       Impact factor: 5.699

3.  Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

Authors:  M D Edwards; C W Stuber; J F Wendel
Journal:  Genetics       Date:  1987-05       Impact factor: 4.562

4.  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

5.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

6.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562
  6 in total
  1 in total

1.  The power of QTL mapping with RILs.

Authors:  Shohei Takuno; Ryohei Terauchi; Hideki Innan
Journal:  PLoS One       Date:  2012-10-09       Impact factor: 3.240
  1 in total

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