title: Correcting estimators of theta and Tajima's D for ascertainment biases caused by the single-nucleotide polymorphism discovery process.
abstract: Most single-nucleotide polymorphism (SNP) data suffer from an ascertainment bias caused by the process of SNP discovery followed by SNP genotyping. The final genotyped data are biased toward an excess of common alleles compared to directly sequenced data, making standard genetic methods of analysis inapplicable to this type of data. We here derive corrected estimators of the fundamental population genetic parameter = 4N(e)mu (N(e), effective population size; mu, mutation rate) on the basis of the average number of pairwise differences and on the basis of the number of segregating sites. We also derive the variances and covariances of these estimators and provide a corrected version of Tajima's D statistic. We reanalyze a human genomewide SNP data set and find substantial differences in the results with or without ascertainment bias correction.
authors.affiliation: Department of Biology, University of Copenhagen, 2100 Kbh Ø, Copenhagen, Denmark. anna.ramirez@upf.edu
authors.forename: Anna
authors.initials: A
authors.lastname: Ramírez-Soriano
authors.forename: Rasmus
authors.initials: R
authors.lastname: Nielsen
mesh_terms: D000483:Alleles; D000704:Analysis of Variance; D015982:Bias; D001699:Biometry; D003198:Computer Simulation; D030541:Databases, Genetic; D005828:Genetics, Population / Q000706:statistics & numerical data*; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D008957:Models, Genetic; D009154:Mutation; D020641:Polymorphism, Single Nucleotide