Literature DB >> 24173785

Numerical comparison between powers of maximum likelihood and analysis of variance methods for QTL detection in progeny test designs: the case of monogenic inheritance.

P Le Roy1, J M Elsen.   

Abstract

Simulations are used to compare four statistics for the detection of a quantitative trait locus (QTL) in daughter and grand-daughter designs as defined by Soller and Genizi (1978) and Weller et al. (1990): (1) the Fisher test of a linear model including a marker effect within sire or grand-sire effect; (2) the likelihood ratio test of a segregation analysis without the information given by the marker; (3) the likelihood ratio test of a segregation analysis considering the information from the marker; and (4) the lod score which is the likelihood ratio test of absence of linkage between the marker and the QTL. In all cases the two segregation analyses are more powerful for QTL detection than are either the linear method or the lod score. The differences in power are generally limited but may be significant (in a ratio of 1 to 3 or 4) when the QTL has a small effect (0.2 standard deviations) and is not closely linked to the marker (recombination rate of 20% or more).

Year:  1995        PMID: 24173785     DOI: 10.1007/BF00220997

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


  17 in total

1.  Sequential tests for the detection of linkage.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1955-09       Impact factor: 11.025

2.  Search for faster methods of fitting the regressive models to quantitative traits.

Authors:  F M Demenais; C Murigande; G E Bonney
Journal:  Genet Epidemiol       Date:  1990       Impact factor: 2.135

3.  An analytical model for the estimation of chromosome substitution effects in the offspring of individuals heterozygous at a segregating marker locus.

Authors:  M R Dentine; C M Cowan
Journal:  Theor Appl Genet       Date:  1990-06       Impact factor: 5.699

4.  Correction: Detection of linkage between quantitative trait loci and restriction fragment length polymorphism using inbred lines.

Authors:  S P Simpson
Journal:  Theor Appl Genet       Date:  1992-10       Impact factor: 5.699

5.  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

6.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

7.  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

8.  Segregation analysis incorporating linkage markers. I. Single-locus models with an application to type I diabetes.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1984-03       Impact factor: 11.025

9.  A mixed-model likelihood approximation on large pedigrees.

Authors:  S J Hasstedt
Journal:  Comput Biomed Res       Date:  1982-06

10.  Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle.

Authors:  J I Weller; Y Kashi; M Soller
Journal:  J Dairy Sci       Date:  1990-09       Impact factor: 4.034

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  1 in total

1.  Methods for multiple-marker mapping of quantitative trait loci in half-sib populations.

Authors:  S A Knott; J M Elsen; C S Haley
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

  1 in total

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