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Power Studies in the Estimation of Genetic Parameters and the Localization of Quantitative Trait Loci for Backcross and Doubled Haploid Populations

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Publisher Springer
Specialty Genetics
Date 2013 Nov 7
PMID 24193587
Citations 12
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Abstract

A statistical model for doubled haploids and backcrosses based on the interval-mapping methodology has been used to carry out power studies to investigate the effects of different experimental designs, heritabilities of the quantitative trait, and types of gene action, using two test statistics, the F of Fisher-Snedecor and the LOD score. The doubled haploid experimental design is more powerful than backcrosses while keeping actual type I errors similar to nominal ones. For the doubled haploid design, individual QTLs, showing heritabilities as low as 5% were detected in about 90% of the cases using only 250 individuals. The power to detect a given QTL is related to its contribution to the heritability of the trait. For a given nominal type I error, tests using F values are more powerful than with LOD scores. It seems that more conservative levels should be used for the LOD score in order to increase the power and obtain type I errors similar to nominal ones.

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References
1.
Beckmann J, Soller M . Detection of linkage between marker loci and loci affecting quantitative traits in crosses between segregating populations. Theor Appl Genet. 2013; 76(2):228-36. DOI: 10.1007/BF00257850. View

2.
Lander E, Botstein D . Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics. 1989; 121(1):185-99. PMC: 1203601. DOI: 10.1093/genetics/121.1.185. View

3.
Soller M, Brody T, Genizi A . On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines. Theor Appl Genet. 2014; 47(1):35-9. DOI: 10.1007/BF00277402. View

4.
Knapp S, Bridges Jr W, Birkes D . Mapping quantitative trait loci using molecular marker linkage maps. Theor Appl Genet. 2013; 79(5):583-92. DOI: 10.1007/BF00226869. View

5.
Simpson S . Detection of linkage between quantitative trait loci and restriction fragment length polymorphisms using inbred lines. Theor Appl Genet. 2013; 77(6):815-9. DOI: 10.1007/BF00268332. View