Literature DB >> 2227383

How informative is Wright's estimator of the number of genes affecting a quantitative character?

Z B Zeng1, D Houle, C C Cockerham.   

Abstract

S. Wright suggested an estimator, m, of the number of loci, m, contributing to the difference in a quantitative character between two differentiated populations, which is calculated from the phenotypic means and variances in the two parental populations and their F1 and F2 hybrids. The same method can also be used to estimate m contributing to the genetic variance within a single population, by using divergent selection to create differentiated lines from the base population. In this paper we systematically examine the utility and problems of this technique under the influences of unequal allelic effects and initial allele frequencies, and linkage, which are known to lead m to underestimate m. In addition, we examine the effects of population size and selection intensity during the generations of selection. During selection, the estimator m rapidly approaches its expected value at the selection limit. With reasonable assumptions about unequal allelic effects and initial allele frequencies, the expected value of m without linkage is likely to be on the order of one-third of the number of genes. The estimates suffer most seriously from linkage. The practical maximum expectation of m is just about the number of chromosomes, considerably less than the "recombination index" which has been assumed to be the upper limit. The estimates are also associated with large sampling variances. An estimator of the variance of m derived by R. Lande substantially underestimates the actual variance. Modifications to the method can ameliorate some of the problems. These include using F3 or later generation variances or the genetic variance in the base population, and replicating the experiments and estimation procedure. However, even in the best of circumstances, information from m is very limited and can be misleading.

Mesh:

Year:  1990        PMID: 2227383      PMCID: PMC1204128     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  11 in total

1.  Estimating the number of genes in a polygenic system by genotype assay.

Authors:  J L Jinks; P Towey
Journal:  Heredity (Edinb)       Date:  1976-08       Impact factor: 3.821

2.  The Association of Size Differences with Seed-Coat Pattern and Pigmentation in PHASEOLUS VULGARIS.

Authors:  K Sax
Journal:  Genetics       Date:  1923-11       Impact factor: 4.562

3.  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

4.  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

5.  On estimating number of genes by genotype assay.

Authors:  W G Hill; P J Avery
Journal:  Heredity (Edinb)       Date:  1978-06       Impact factor: 3.821

6.  Modifications in estimating the number of genes for a quantitative character.

Authors:  C C Cockerham
Journal:  Genetics       Date:  1986-10       Impact factor: 4.562

7.  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

8.  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

9.  The minimum number of genes contributing to quantitative variation between and within populations.

Authors:  R Lande
Journal:  Genetics       Date:  1981 Nov-Dec       Impact factor: 4.562

10.  Inheritance of a secondary sexual character in Drosophila silvestris.

Authors:  H L Carson; R Lande
Journal:  Proc Natl Acad Sci U S A       Date:  1984-11       Impact factor: 11.205

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  27 in total

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Journal:  Genetics       Date:  2007-08-24       Impact factor: 4.562

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

Authors:  R L Wu
Journal:  Theor Appl Genet       Date:  1996-08       Impact factor: 5.699

5.  Quantitative genetics of growth and development in Populus. I. A three-generation comparison of tree architecture during the first 2 years of growth.

Authors:  R Wu; R F Stettler
Journal:  Theor Appl Genet       Date:  1994-12       Impact factor: 5.699

6.  RAPD linkage mapping in a longleaf pine x slash pine F1 family.

Authors:  T L Kubisiak; C D Nelson; W L Nance; M Stine
Journal:  Theor Appl Genet       Date:  1995-06       Impact factor: 5.699

7.  Genetic basis of response to 50 generations of selection on body weight in inbred mice.

Authors:  P D Keightley
Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

8.  The number of mutations selected during adaptation in a laboratory population of Saccharomyces cerevisiae.

Authors:  Clifford Zeyl
Journal:  Genetics       Date:  2005-03-02       Impact factor: 4.562

9.  Genetic analysis of a morphological shape difference in the male genitalia of Drosophila simulans and D. mauritiana.

Authors:  J Liu; J M Mercer; L F Stam; G C Gibson; Z B Zeng; C C Laurie
Journal:  Genetics       Date:  1996-04       Impact factor: 4.562

10.  Epistasis and the genetic divergence of photoperiodism between populations of the pitcher-plant mosquito, Wyeomyia smithii.

Authors:  J J Hard; W E Bradshaw; C M Holzapfel
Journal:  Genetics       Date:  1992-06       Impact factor: 4.562

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