Literature DB >> 6573131

Linkage between a marker locus and a quantitative trait of sibs.

C C Cockerham, B S Weir.   

Abstract

Several variations of a method for detecting linkage between a marker locus and a quantitative trait in full sib families are presented along with computational details. All variations are based on contrasts within qualifying families of three or more sibs. The empirical powers of the various test statistics, evaluated by simulation, were very similar, and also similar to that of Smith. These single-generation tests are likely to be successful only for many families and relatively tight linkage.

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Year:  1983        PMID: 6573131      PMCID: PMC1685528     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  2 in total

1.  A non-parametric test for linkage with a quantitative character.

Authors:  C A Smith
Journal:  Ann Hum Genet       Date:  1975-05       Impact factor: 1.670

2.  Simplified formulas for detecting linkage with a quantitative character.

Authors:  A Bener; D Loesch; C A Smith
Journal:  Ann Hum Genet       Date:  1980-01       Impact factor: 1.670

  2 in total
  5 in total

1.  Linkage analysis of quantitative traits: increased power by using selected samples.

Authors:  G Carey; J Williamson
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

2.  Optimum spacing of genetic markers for determining linkage between marker loci and quantitative trait loci.

Authors:  A Darvasi; M Soller
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

3.  Two-trait-locus linkage analysis: a powerful strategy for mapping complex genetic traits.

Authors:  N J Schork; M Boehnke; J D Terwilliger; J Ott
Journal:  Am J Hum Genet       Date:  1993-11       Impact factor: 11.025

4.  Linkage between obesity and a marker near the tumor necrosis factor-alpha locus in Pima Indians.

Authors:  R A Norman; C Bogardus; E Ravussin
Journal:  J Clin Invest       Date:  1995-07       Impact factor: 14.808

5.  Biochemical polymorphism in relation to performance in horses.

Authors:  L Andersson; T Arnason; K Sandberg
Journal:  Theor Appl Genet       Date:  1987-01       Impact factor: 5.699

  5 in total

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