Selective Genotyping for Location and Estimation of the Effect of a Quantitative Trait Locus

Biometrics ◽  
1997 ◽  
Vol 53 (2) ◽  
pp. 629 ◽  
Author(s):  
Helene Muranty ◽  
Bruno Goffinet
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Selective Genotyping ◽  
Trait Locus

scholarly journals Significance Thresholds for Quantitative Trait Locus Mapping Under Selective Genotyping

Genetics ◽  
2007 ◽  
Vol 177 (3) ◽  
pp. 1963-1966 ◽  
Author(s):  
Ani Manichaikul ◽  
Abraham A. Palmer ◽  
Śaunak Sen ◽  
Karl W. Broman
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Selective Genotyping ◽  
Trait Locus ◽  
Locus Mapping

scholarly journals Selective DNA pooling for determination of linkage between a molecular marker and a quantitative trait locus.

Genetics ◽  
1994 ◽  
Vol 138 (4) ◽  
pp. 1365-1373 ◽  
Author(s):  
A Darvasi ◽  
M Soller
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Allele Frequencies ◽  
Selective Genotyping ◽  
Technical Error ◽  
Dna Pooling ◽  
Wide Range ◽  
Trait Locus ◽  
Pooled Samples ◽  
Selective Dna Pooling

Abstract Selective genotyping is a method to reduce costs in marker-quantitative trait locus (QTL) linkage determination by genotyping only those individuals with extreme, and hence most informative, quantitative trait values. The DNA pooling strategy (termed: "selective DNA pooling") takes this one step further by pooling DNA from the selected individuals at each of the two phenotypic extremes, and basing the test for linkage on marker allele frequencies as estimated from the pooled samples only. This can reduce genotyping costs of marker-QTL linkage determination by up to two orders of magnitude. Theoretical analysis of selective DNA pooling shows that for experiments involving backcross, F2 and half-sib designs, the power of selective DNA pooling for detecting genes with large effect, can be the same as that obtained by individual selective genotyping. Power for detecting genes with small effect, however, was found to decrease strongly with increase in the technical error of estimating allele frequencies in the pooled samples. The effect of technical error, however, can be markedly reduced by replication of technical procedures. It is also shown that a proportion selected of 0.1 at each tail will be appropriate for a wide range of experimental conditions.

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