חיפוש מתקדם
Theoretical and Applied Genetics
Weller, J.I., Institute of Animal Sciences, A. R. O., The Volcani Center, Bet Dagan, 50250, Israel
Wyler, A., Institute of Animal Sciences, A. R. O., The Volcani Center, Bet Dagan, 50250, Israel
Many studies have shown that segregating quantitative trait loci (QTL) can be detected via linkage to genetic markers. Power to detect a QTL effect on the trait mean as a function of the number of individuals genotyped for the marker is increased by selectively genotyping individuals with extreme values for the quantitative trait. Computer simulations were employed to study the effect of various sampling strategies on the statistical power to detect QTL variance effects. If only individuals with extreme phenotypes for the quantitative trait are selected for genotyping, then power to detect a variance effect is less than by random sampling. If 0.2 of the total number of individuals genotyped are selected from the center of the distribution, then power to detect a variance effect is equal to that obtained with random selection. Power to detect a variance effect was maximum when 0.2 to 0.5 of the individuals selected for genotyping were selected from the tails of the distribution and the remainder from the center. © 1992 Springer-Verlag.
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Power of different sampling strategies to detect quantitative trait loci variance effects
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Weller, J.I., Institute of Animal Sciences, A. R. O., The Volcani Center, Bet Dagan, 50250, Israel
Wyler, A., Institute of Animal Sciences, A. R. O., The Volcani Center, Bet Dagan, 50250, Israel
Power of different sampling strategies to detect quantitative trait loci variance effects
Many studies have shown that segregating quantitative trait loci (QTL) can be detected via linkage to genetic markers. Power to detect a QTL effect on the trait mean as a function of the number of individuals genotyped for the marker is increased by selectively genotyping individuals with extreme values for the quantitative trait. Computer simulations were employed to study the effect of various sampling strategies on the statistical power to detect QTL variance effects. If only individuals with extreme phenotypes for the quantitative trait are selected for genotyping, then power to detect a variance effect is less than by random sampling. If 0.2 of the total number of individuals genotyped are selected from the center of the distribution, then power to detect a variance effect is equal to that obtained with random selection. Power to detect a variance effect was maximum when 0.2 to 0.5 of the individuals selected for genotyping were selected from the tails of the distribution and the remainder from the center. © 1992 Springer-Verlag.
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