Inference of population structure using multilocus genotype data.

By J. K. Pritchard, Matthew Stephens, Peter Donnelly. Genetics, 2000

34,380 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fa02f9123abacd5ba13d41e937d99c077da8d3f6

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Citations in the corpus

The Bayesian revolution in genetics (2004, methodology): “In particular, several new Bayesian methods have been proposed to allow the combined inference of both the partitioning of individuals into subpopulations and the assignment of individual migrant ancestrie”
BAPS 2: enhanced possibilities for the analysis of genetic population structure (2004, methodology): “…the estimated structure can provide a useful insight into many applications, such as correcting for population stratiﬁcation in association studies (Pritchard et al ., 2000b; Satten et al ., 2001; Sillanpää et al ., 2001) or accounting for genetic heterogeneity (Sillanpää et al ., 2001; Province…”
Phylogeography of a widespread Asian subtropical tree: genetic east–west differentiation and climate envelope modelling suggest multiple glacial refugia (2014, methodology): “…of genetic clusters from microsatellites To determine spatial genetic structure, a Bayesian clustering approach was employed using structure 2.3.3 (Pritchard et al., 2000). structure probabilistically assigns individual genotypes to K gene pools and estimates the posterior probability of the…”
Genetic population differentiation and connectivity among fragmented Moor frog (Rana arvalis) populations in The Netherlands (2007, methodology): “Tests for population structure and assignment of individuals to populations were performed using STRUCTURE 2.0 ( Pritchard et al. 2000 ).”
Bayesian inference of recent migration rates using multilocus genotypes. (2003, methodology): “E-mail: brannala@ualberta.ca 1995; Rannala and Mountain 1997) or jointly identi- Genetics 163: 1177–1191 ( March 2003) fying migrants and populations (Pritchard et al. 2000). ing parameters M, t, p, m, and F are estimated numerically using Markov chain Monte Carlo (MCMC) methodsExisting methods do…”
A state-space mixed membership blockmodel for dynamic network tomography (2008, background): “There has been a variety of successes in network analysis based on various formalisms.”
Bayesian species delimitation using multilocus sequence data (2010, unknown): “× f ðτjSi; τ0Þ f ðτ0jSiÞdθ dτ0 dτ; [1]”
Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits (2008, background): “However, one of the major hurdles facing LD mapping is the need to control for cryptic population structure or stratification, which can lead to false positives (see Pritchard et al., 2000a, b; Cardon and Palmer, 2003; Marchini et al., 2004; Yu et al., 2005).”
Evaluation of Genetic Diversity and Genome‐wide Linkage Disequilibrium among U.S. Wheat (Triticum aestivum L.) Germplasm Representing Different Market Classes (2007, methodology): “Population structure was investigated using a Bayesian clustering approach to infer the number of clusters (populations) with the software structure v.2 (Pritchard et al., 2000).”
The phylogeographic architecture of the fucoid seaweed Ascophyllum nodosum: an intertidal ‘marine tree’ and survivor of more than one glacial–interglacial cycle (2010, methodology): “Population structure was also assessed in a Bayesian framework using structure 1.0 (Pritchard et al., 2000).”
Toward the Human Genotope (2007, methodology): “Archetypal analysis is similar to the methods used in STRUCTURE ( Pritchard et al., 2006 ), with some key differences.”
STRUCTURE PLOT: a program for drawing elegant STRUCTURE bar plots in user friendly interface (2014, methodology): “To overcome these limitations, we introduce a user-friendly program – ‘ STRUCTURE PLOT ’ to draw elegant bar plots with graphical user interface.”
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data (2013, background): “Phosphorus metabolism disorder (115) Calcium/phosphorus disorders (496) Iron metabolism disorder (40)”