Literature DB >> 12647058

Determining the sample size for co-dominant molecular marker-assisted linkage detection for a monogenic qualitative trait by controlling the type-I and type-II errors in a segregating F2 population.

M Hühn1, H P Piepho.   

Abstract

Tests for linkage are usually performed using the lod score method. A critical question in linkage analyses is the choice of sample size. The appropriate sample size depends on the desired type-I error and power of the test. This paper investigates the exact type-I error and power of the lod score method in a segregating F(2) population with co-dominant markers and a qualitative monogenic dominant-recessive trait. For illustration, a disease-resistance trait is considered, where the susceptible allele is recessive. A procedure is suggested for finding the appropriate sample size. It is shown that recessive plants have about twice the information content of dominant plants, so the former should be preferred for linkage detection. In some cases the exact alpha-values for a given nominal alpha may be rather small due to the discrete nature of the sampling distribution in small samples. We show that a gain in power is possible by using exact methods.

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Year:  2002        PMID: 12647058     DOI: 10.1007/s00122-002-1099-6

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


  4 in total

1.  DNA markers in plant improvement: an overview.

Authors:  L S Kumar
Journal:  Biotechnol Adv       Date:  1999-09       Impact factor: 14.227

2.  Sequential tests for the detection of linkage.

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

3.  Determining the linkage of disease-resistance genes to molecular markers: the LOD-SCORE method revisited with regard to necessary sample sizes.

Authors:  M Hühn
Journal:  Theor Appl Genet       Date:  1995-05       Impact factor: 5.699

4.  DNA markers closely linked to nematode resistance genes in sugar beet (Beta vulgaris L.) mapped using chromosome additions and translocations originating from wild beets of the Procumbentes section.

Authors:  C Jung; R Koch; F Fischer; A Brandes; G Wricke; R G Herrmann
Journal:  Mol Gen Genet       Date:  1992-03
  4 in total
  1 in total

1.  Genetic and physical fine mapping of Scmv2, a potyvirus resistance gene in maize.

Authors:  Christina Roenn Ingvardsen; Yongzhong Xing; Ursula Karoline Frei; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2010-02-14       Impact factor: 5.699

  1 in total

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