Inference of Population Structure Using Multilocus Genotype Data

@article{citeulike:1269735, abstract = {We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci--e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/\~{}pritch/home.html.}, author = {Pritchard, Jonathan K. and Stephens, Matthew and Donnelly, Peter }, citeulike-article-id = {1269735}, journal = {Genetics}, keywords = {bayesian, graphical-models, mcmc, phylogeny}, month = {June}, number = {2}, pages = {945--959}, posted-at = {2008-07-08 19:55:40}, priority = {3}, title = {Inference of Population Structure Using Multilocus Genotype Data}, url = {http://www.genetics.org/cgi/content/abstract/155/2/945}, volume = {155}, year = {2000} }

TY - JOUR ID - citeulike:1269735 L3 - citeulike-article-id:1269735 N2 - We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci--e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html. IS - 2 JF - Genetics EP - 959 TI - Inference of Population Structure Using Multilocus Genotype Data VL - 155 SP - 945 KW - bayesian KW - graphical-models KW - mcmc KW - phylogeny AU - Pritchard, Jonathan AU - Stephens, Matthew AU - Donnelly, Peter PY - 2000/06/01/ UR - http://www.genetics.org/cgi/content/abstract/155/2/945 ER -