This proposal aims to develop population genetic theory and statistical methods for single nucleotide polymorphism (SNP) data. Theoretical methods will center on efficient generation of the history of samples of SNP genotypes using coalescent theory, and will lead to calculations of probabilities of observed patterns of SNPs. Statistical methods will include a treatment of the bias introduced when SNPs are discovered on the basis of small samples, and will also consider the estimation of the parameter theta, which is four times the product of the effective population size and the mutation rate. Tests of differences in SNP profiles from different populations will be developed and will be relevant to disease association studies. The statistical procedures developed by the proposed work will be incorporated into a computer package and made freely available.
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| Tan, Yuan-De; Fu, Yun-Xin (2007) A new strategy for estimating recombination fractions between dominant markers from an F2 population. Genetics 175:923-31 |
| Tan, Yuan-De; Fu, Yun-Xin (2006) A novel method for estimating linkage maps. Genetics 173:2383-90 |
| Tan, Yuan-De; Fornage, Myriam; Fu, Yun-Xin (2006) Ranking analysis of microarray data: a powerful method for identifying differentially expressed genes. Genomics 88:846-54 |
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| Li, Haipeng; Zhang, Yunwu; Zhang, Ya-Ping et al. (2003) Neutrality tests using DNA polymorphism from multiple samples. Genetics 163:1147-51 |
