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Analysis For Detecting Power Of Quantitative Trait Candidate Gene

Posted on:2005-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:J LuoFull Text:PDF
GTID:2133360125959034Subject:Animal breeding and genetics
Abstract/Summary:PDF Full Text Request
The effects of different factors on detecting power of a pair of alleles and two pairs of candidate alleles for common and dynamic traits were investigated, respectively, by Monte Carlo simulation. The works and results included that:For common quantitative traits, the parameters in statistical models for detection of candidate alleles were estimated by using regression analysis methods; Three major factors, including number of individuals, genetic contribution ratio and candidate allele frequency, were considered. The result from simulations showed that effects of the individual numbers on detecting power were not so significant as genetic contribution ratio; The number of individuals needed for detecting candidate genes with high genetic contribution ratio were less than the low; There were almost not effect of gene frequency on detecting power of candidate genes.For dynamic traits, the statistical models for genetic analysis of candidate genes were established by applying the mathematical model for dynamic trait linkage mapping analysis into statistical analysis of their candidate genes; the parameters in the models were estimated by using iteratively weighted regression analysis methods. Four major factors, including number of individuals, test day frequency, accumulative genetic contribution ratio and gene frequency, were taken into account. The result from simulations indicated that effect of genetic contribution ratios on detecting power was significantly higher than individual numbers; the effect of individual number was almost same with test day frequency, and they showed the complementation with each other in same sample size. It would need less individual numbers and test-day records in the detection for dynamic trait candidate genes with higher accumulative genetic contribution ratio. Effect of gene frequency on detecting power of dynamic trait candidate genes was scarcely any as common quantitative trait.In summary, for both common quantitative trait and dynamic trait, the effects of considered factors on detecting power of a pair of alleles and two pairs of candidate alleles performed two common laws: (1) there were differences in the power of detecting candidate gene among the four affecting factors; (2) the order of effects of four factors on the power of detecting candidate gene was (accumulative) genetic contribution ratio >sample size (number of individuals times test day frequency)> gene frequency. Systemic analysis for the factors affecting detecting power of candidate genes will be helpful to guide the practices on detection of candidate genes. Master candidate:Luo JingSpecialty:Animal Genetics and Breeding Supervisor:Prof. Yang, Runqing...
Keywords/Search Tags:Quantitative traits, Candidate genes, detecting power, Monte Carlo simulations.
PDF Full Text Request
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