This paper discusses the associations between traits and haplotypes based on Fl (fluorescent intensity) data sets, We consider a clustering algorithm based on mixtures of t distributions to obtain all possible genotyp...This paper discusses the associations between traits and haplotypes based on Fl (fluorescent intensity) data sets, We consider a clustering algorithm based on mixtures of t distributions to obtain all possible genotypes of each individual (i.e. "GenoSpectrum"). We then propose a likelihood-based approach that incorporates the genotyping uncertainty to assessing the associations between traits and haplotypes through a haplotypebased logistic regression model, Simulation studies show that our likelihood-based method can reduce the impact induced by genotyping errors.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.10431010&10371015)the National Science Foundating for Distinguished Young Scholars(Grant No.10329102)+1 种基金the Science and Technology Keystone Fund of MOE,China(Grant Nos.104070&00041)NCET-04-0310,EYTP and the Jilin Distinguished Young Scholars Program(Grant No.20030113).
文摘This paper discusses the associations between traits and haplotypes based on Fl (fluorescent intensity) data sets, We consider a clustering algorithm based on mixtures of t distributions to obtain all possible genotypes of each individual (i.e. "GenoSpectrum"). We then propose a likelihood-based approach that incorporates the genotyping uncertainty to assessing the associations between traits and haplotypes through a haplotypebased logistic regression model, Simulation studies show that our likelihood-based method can reduce the impact induced by genotyping errors.
