Genetics in geographically structured populations: defining, estimating and interpreting FST

By Kent E. Holsinger, Bruce S. Weir. Nature reviews genetics, 2009

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View Paper: https://www.semanticscholar.org/paper/00eaa271ec9cbafa514a7f6bf49344db21992521

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Citations in the corpus

A practical guide to environmental association analysis in landscape genomics (2015, background): “…genetic structure in an EAA using SNPs, as they have very different properties (e.g. mutation rate, allelic diversity) than SNPs. Traditional methods for estimating neutral genetic structure rely on estimating global or pairwise fixation indices among populations (see, e.g. Holsinger & Weir 2009).”
What can genetics tell us about population connectivity? (2010, background): “Lower values of FST indicate less genetic divergence; see Holsinger & Weir (2009) for a recent review of defining, estimating and interpreting FST.”
Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags (2010, methodology): “Accordingly, we focus primarily on measures of nucleotide diversity and differentiation in allele frequencies between the derived freshwater populations and two replicate oceanic populations, quantified with the statistic FST [7,21,22,32,100,101].”
Assessing population structure: FST and related measures (2011, methodology): “FST is used for many different purposes (Holsinger & Weir 2009) and the question arises whether the newly developed alternatives suit all these purposes.”
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).”
Experimental interrogation of the path dependence and stochasticity of protein evolution using phage-assisted continuous evolution (2013, positive): “We also analyzed the HTS data using FST, a widely applied measure of population differentiation that estimates the variation between populations (32) (SI Appendix, Fig.”
Estimating and interpreting FST: The impact of rare variants (2013, positive): “Since its introduction by Sewall Wright (1949) and Gustave Malécot (1948), FST estimation (Weir and Cockerham 1984; Holsinger and Weir 2009) has become a key component of studies of population structure in humans (International HapMap Consortium 2007; Li et al. 2008; The 1000 Genomes Project…”
Bridging the gap: a genetic assessment framework for population‐level threatened plant conservation prioritization and decision‐making (2016, background): “Wright’s FST (Wright, 1951) is the most commonly applied metric to quantify population differentiation, with various analogues available for different marker types (Holsinger & Weir, 2009; Meirmans & Hedrick, 2011).”
Circuit Theory and Model-Based Inference for Landscape Connectivity (2013, positive): “The fixation index Fst is a measure of genetic dissimilarity between subpopulations based on comparing the diversity of randomly chosen alleles within each subpopulation to the diversity found within the entire population (Holsinger and Weir 2009).”