2016
DOI: 10.1038/hdy.2016.19
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Improved confidence intervals for the linkage disequilibrium method for estimating effective population size

Abstract: The linkage disequilibrium method is currently the most widely used single sample estimator of genetic effective population size. The commonly used software packages come with two options, referred to as the parametric and jackknife methods, for computing the associated confidence intervals. However, little is known on the coverage performance of these methods, and the published data suggest there may be some room for improvement. Here, we propose two new methods for generating confidence intervals and compare… Show more

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Cited by 97 publications
(99 citation statements)
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References 24 publications
(45 reference statements)
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“…Effective population size ( N e ) was calculated using the method based on the linkage disequilibrium (LD; Hill, ; Waples, ; Waples & Do, ) as implemented in NeEstimator v.2.1 (Do et al, ). Minimum allele frequency of 0.02 and non‐parametric jackknifed confidence intervals were used for all analyses of N e (Jones, Ovenden, & Wang, ). The estimates of N e obtained for SNP data are known to suffer from a downward bias and were thus corrected using the equation 1a from Waples, Larson, and Waples () (haploid chromosome number = 40; Leitwein et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Effective population size ( N e ) was calculated using the method based on the linkage disequilibrium (LD; Hill, ; Waples, ; Waples & Do, ) as implemented in NeEstimator v.2.1 (Do et al, ). Minimum allele frequency of 0.02 and non‐parametric jackknifed confidence intervals were used for all analyses of N e (Jones, Ovenden, & Wang, ). The estimates of N e obtained for SNP data are known to suffer from a downward bias and were thus corrected using the equation 1a from Waples, Larson, and Waples () (haploid chromosome number = 40; Leitwein et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Genomic estimates of N e Although this paper considered only demographic data, genetically based estimates of effective size have skyrocketed in recent years (Palstra and Fraser, 2012), and this trend is only likely to increase with the ability to use next-generation DNA sequencing techniques to generate thousands of markers for nonmodel species (for example, see Hollenbeck et al, 2016;Jones et al, 2016). To provide context for interpreting these estimates, most of these new studies will have to consider the N e /N ratio, and hence results presented here will be relevant.…”
Section: Discussionmentioning
confidence: 99%
“…Singleton alleles were filtered from this and all other cohort samples with P crit = .02. The beta version of LDNe implements a corrected version of a new jackknife approach over individuals (Jones, Ovenden, & Wang, ) while producing identical point estimates as previous versions. Other single‐sample estimators of Ntrue^b are available (Tallmon et al., ; Wang, ) but were biased low when applied to simulated brook trout data (A. Whiteley, unpublished results).…”
Section: Methodsmentioning
confidence: 99%