Literature DB >> 24407765

Theory for the number of genes affecting quantitative characters : II. Biases from drift, dominance, inequality of gene effects, linkage disequilibrium and epistasis.

Y C Park1.   

Abstract

Bias in the estimation of gene number from a population of finite size will be reduced when the number of generations and the selection differential in the primary selection program are increased. A procedure to minimize bias due to dominance is proposed. Bias due to linkage disequilibrium is decreased by long generations of selection and small change of linkage disequilibrium. Bias due to inequality of gene effects was studied assuming that gene effects follow a half normal distribution. The epistatic bias arising from multiplicative gene effects disappears when the logarithms of the original measurements are considered even though the gene number estimate is unsatisfactory without transformation.

Year:  1977        PMID: 24407765     DOI: 10.1007/BF00277737

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


  9 in total

1.  Estimates of Genetic Variances and Level of Dominance in Maize.

Authors:  R H Moll; M F Lindsey; H F Robinson
Journal:  Genetics       Date:  1964-03       Impact factor: 4.562

2.  Selection for Pupa Weight in TRIBOLIUM CASTANEUM. II. Linkage and Level of Dominance.

Authors:  F D Enfield; R E Comstock; R Goodwill; O Braskerud
Journal:  Genetics       Date:  1969-08       Impact factor: 4.562

3.  The Results of Crosses between Inbred Strains of Guinea Pigs, Differing in Number of Digits.

Authors:  S Wright
Journal:  Genetics       Date:  1934-11       Impact factor: 4.562

4.  The Detection and Measurement of the Effects of Individual Genes Involved in the Inheritance of a Quantitative Character in Wheat.

Authors:  C Wehrhahn; R W Allard
Journal:  Genetics       Date:  1965-01       Impact factor: 4.562

5.  AN IMPROVED METHOD OF ESTIMATING THE NUMBER OF GENETIC FACTORS CONCERNED IN CASES OF BLENDING INHERITANCE.

Authors:  W E Castle
Journal:  Science       Date:  1921-09-09       Impact factor: 47.728

6.  The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance.

Authors:  R E COMSTOCK; H F ROBINSON
Journal:  Biometrics       Date:  1948-12       Impact factor: 2.571

7.  Variance of gene frequencies from recurrent selection in finite populations.

Authors:  Y C Park
Journal:  Genetics       Date:  1977-02       Impact factor: 4.562

8.  Theory for the number of genes affecting quantitative characters : I. Estimation of and variance of the estimation of gene number for quantitative traits controlled by additive genes having equal effect.

Authors:  Y C Park
Journal:  Theor Appl Genet       Date:  1977-07       Impact factor: 5.699

9.  The limits to artificial selection for body weight in the mouse. I. The limits attained in earlier experiments.

Authors:  R C Roberts
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

  9 in total
  2 in total

1.  Molecular-marker-facilitated investigations of quantitative trait loci in maize : 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers.

Authors:  M D Edwards; T Helentjaris; S Wright; C W Stuber
Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

2.  Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data.

Authors:  Jun Zou; Yusheng Zhao; Peifa Liu; Lei Shi; Xiaohua Wang; Meng Wang; Jinling Meng; Jochen Christoph Reif
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

  2 in total

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