Genetic Data Analysis II: Methods for Discrete Population Genetic DataGenetic Data Analysis, first published in 1990, became the standard reference for ways to interpret discrete population genetic data. Genetic Data Analysis II retains the strengths of the original book and, based upon the suggestions of users, includes many new features, notably the revision of Chapter 10 (Phylogeny Reconstruction) to incorporate newer methods, and new chapters on Linkage and Individual Identification. Genetic Data Analysis II features an expanded set of Exercises, with solutions, and an expanded list of references. In addition, a suite of Windows based programs written by Paul O. Lewis and Dmitri Zaykin is available without charge from the Web site maintained by the program in Statistical Genetics at North Carolina State University (visit http://www.stat.ncsu.edu and click on 'Statistical Genetics Program.'). |
Common terms and phrases
AA Aa aa AABB AB/ab algorithm alleged father allele frequencies amino acid analysis of variance base bootstrap branch lengths calculated Chapter chi-square test coancestry Cockerham components covariance disease disequilibrium coefficient distance DNA sequence Equation evolutionary exact test expected value Figure fragments gametes gene diversity genetic sampling genotypic counts genotypic frequencies Hardy-Weinberg equilibrium heterozygotes heterozygous homozygotes hypothesis inbreeding independent individuals iteration likelihood ratio linkage disequilibrium loci locus lod score log-likelihood M₁ marker allele matrix maximum likelihood estimates mean squares method MLE's MN.S multinomial distribution mutation node NsNs observed offspring outcrossing parameters parent paternity permutation possible Pr(C probability proportions quantity recombination fraction rejected sample allele score selection shown in Table significance level test statistic tree two-locus variable variation Weir zero ΡΑ ΣΣ