Improved confidence intervals for the linkage disequilibrium method for estimating effective population size
Journal article
Jones, A. T., Ovenden, J. R. and Wang, Y.-G.. (2016). Improved confidence intervals for the linkage disequilibrium method for estimating effective population size. Heredity. 117(4), pp. 217-223. https://doi.org/10.1038/hdy.2016.19
Authors | Jones, A. T., Ovenden, J. R. and Wang, Y.-G. |
---|---|
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 them with the two in current use through a simulation study. The new confidence interval methods tend to be conservative but outperform the existing methods for generating confidence intervals under certain circumstances, such as those that may be encountered when making estimates using large numbers of single-nucleotide polymorphisms. |
Year | 2016 |
Journal | Heredity |
Journal citation | 117 (4), pp. 217-223 |
Publisher | Nature Publishing Group |
ISSN | 0018-067X |
Digital Object Identifier (DOI) | https://doi.org/10.1038/hdy.2016.19 |
Scopus EID | 2-s2.0-84961391346 |
Page range | 217-223 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 23 Mar 2016 |
Publication process dates | |
Accepted | 08 Feb 2016 |
Deposited | 12 Dec 2022 |
https://acuresearchbank.acu.edu.au/item/8y8vx/improved-confidence-intervals-for-the-linkage-disequilibrium-method-for-estimating-effective-population-size
Restricted files
Publisher's version
85
total views0
total downloads0
views this month0
downloads this month