Analysis of Population Subdivision

By Laurent Excoffier. 2004

239 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/15dfe0bc8e335343521cd5a891a404f2be09eaee

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In Genetics

Citations in the corpus

The Pattern of Polymorphism in Arabidopsis thaliana (2005, background): “A standard way of summarizing the geographical distribution of this variation is through the statistic FST, which, loosely speaking, measures the fraction of the observed genetic variation that is due to population structure [10].”
Estimating F-statistics. (2002, background): “Averaging over samples recovers the “classical” estimate (27)”
Congeneric phylogeography: hypothesizing species limits and evolutionary processes in Patagonian lizards of the Liolaemus boulengeri group (Squamata: Liolaemini) (2006, methodology): “Population structure was estimated by performing analyses of molecular variance (AMOVA; Excoffier, 2001), and calculating the corrected average pairwise genetic distances (taking into account the intrapopulation mean divergences of the two groups being compared) using the Tamura & Nei (1994) model…”
Informativeness of genetic markers for inference of ancestry. (2003, background): “…(1997) multiallelic extension of d F st Excess in probability of identity of alleles from the same population compared with randomly chosen alleles (Excoffier 2001, for example) Is related, for biallelic markers, to the quotient of expected posterior and prior variance of ancestry in a population…”
Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow (2014, methodology): “There are many different ways of calculating F ST and its related statistics (Charlesworth 1998; Excoffier 2007), and many different ways of interpreting these statistics (Holsinger & Weir 2009).”
Arlequin (version 3.0): An integrated software package for population genetics data analysis (2005, methodology): “Tests of selective neutrality under the infinite-alleles model, like the Ewens-Watterson test (Slatkin 1996; Watterson 1978), and Chakraborty’s amalgamation test (Chakraborty 1990).”
A STANDARDIZED GENETIC DIFFERENTIATION MEASURE (2005, unknown): “There are a number of approaches used to quantify and visualize genetic differentiation (Excoffier 2001; Charlesworth et al. 2003) but it is often difficult to compare the amount of differentiation between different studies, loci, or organisms (Charlesworth 1998; Nagylaki 1998; Hedrick 1999).”
Assessing population differentiation and isolation from single‐nucleotide polymorphism data (2002, methodology): “For background, see the reviews by Excoffier (2001) and Rousset (2001) and references therein.”