A bias correction for estimates of effective population size based on linkage disequilibrium at unlinked gene loci*

By Robin S. Waples. Conservation Genetics, 2006

864 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5cbbe6e77daa56a6ca7c21b1623a230eccd1b782

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In Genetics

Citations in the corpus

Population genetics of Australian white sharks reveals fine-scale spatial structure, transoceanic dispersal events and low effective population sizes (2012, methodology): “Fluctuations in population size can influence LD CNe estimates, and a population increasing from a genetic bottleneck may reduce the CNe estimate for several generations (Waples 2006).”
COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation (2008, positive): “Nonetheless, recent improvements in these estimators and the increasing availability of large, highly polymorphic data sets are likely to make one-sample Ne estimators more useful (Luikart & Cornuet 1999; Waples 2006).”
Genetic variation and effective population size in isolated populations of coastal cutthroat trout (2010, methodology): “LDNE uses a linkage disequilibrium method to calculate Ne estimates and incorporates the bias correction from Waples (2006).”
ldne: a program for estimating effective population size from data on linkage disequilibrium (2008, methodology): “Waples (2006) developed an empirical correction that effectively eliminates the bias, but this bias correction is not implemented in currently available software for estimating N e (Peel et al .”
Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches (2010, methodology): “For example, in a declining population, LD-Ne could be biased-high for 1–2 generation reflecting the large Ne 1–2 generation ago (e.g. Waples 2005, 2006; England et al. in review).”
Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution (2009, methodology): “The populations do not have to be ideal; the method still performs well with highly skewed sex ratios and overdispersed variance in reproductive success (Waples 2006).”
Genetic estimates of contemporary effective population size: what can they tell us about the importance of genetic stochasticity for wild population persistence? (2008, background): “This uncertainty of scale reiterates that linking population genetic parameters with ecological and evolutionary processes is important (Waples & Gaggiotti 2006; Palsboll et al. 2007) but remains challenging.”