Literature DB >> 24162304

Quantitative genetic dissection of complex traits in a QTL-mapping pedigree.

R L Wu1.   

Abstract

This paper summarizes and modifies quantitative genetic analyses on a pedigree used to map genetic factors (i.e., QTLs) underlying a complex trait. The total genetic variance can be exactly estimated based on the F2 family derived from two homozygous parents for alternative alleles at all QTLs of interest. The parents, F1 hybrids, and two backcrosses are combined to each parent, and the total number of QTLs and the number of dominant QTLs are estimated under the assumptions of gene association with the two parents, equal gene effect, no linkage, and no epistasis among QTLs. Further relaxation for each of the assumptions are made in detail. The biometric estimator for the QTL number and action mode averaged over the entire genome could provide some basic and complementary information to QTL mapping designed to detect the effect and location of specific genetic factors.

Year:  1996        PMID: 24162304     DOI: 10.1007/BF00223189

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


  50 in total

1.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

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

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8.  Inheritance of the morphological differences between maize and teosinte: comparison of results for two F2 populations.

Authors:  J Doebley; A Stec
Journal:  Genetics       Date:  1993-06       Impact factor: 4.562

9.  Genetic mapping of quantitative trait loci for growth and fatness in pigs.

Authors:  L Andersson; C S Haley; H Ellegren; S A Knott; M Johansson; K Andersson; L Andersson-Eklund; I Edfors-Lilja; M Fredholm; I Hansson
Journal:  Science       Date:  1994-03-25       Impact factor: 47.728

10.  Teosinte glume architecture 1: A Genetic Locus Controlling a Key Step in Maize Evolution.

Authors:  J Dorweiler; A Stec; J Kermicle; J Doebley
Journal:  Science       Date:  1993-10-08       Impact factor: 47.728

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