<p>The explained variance of the QTL was fixed at 0.1%. For clarity reasons, we have not provided errors bars. Confidence ranges for the power estimates are all between 1 and 5%; exact values are provided in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095923#pone.0095923.s003" target="_blank">Tables S3</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095923#pone.0095923.s005" target="_blank">S5</a>. MAF, minor allele frequency; MV, multivariate; PCHAT, Principal Component of Heritability Association Test; QTL, quantitative trait locus; rE, residual correlation; rG, genetic correlation induced by the QTL; TATES, Trait-based Association Test that uses Extended Simes procedure; UV-MA, meta-a...
The power of testing for a population-wide association between a biallelic quantitative trait locus ...
<p>The power of the different methods to detect a QTN using a 5% significance level (based on the ob...
<div><p>Measurement error of a phenotypic trait reduces the power to detect genetic associations. We...
Figure S1. Power (α = 3.5x10-9) provided by the combined Australian and Dutch analysis to detect a q...
Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) wit...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) wit...
The power to detect a quantitative trait locus (QTL) in sib-pair data is investigated. We assume tha...
<p><b>A</b>) Statistical power was examined on a trait simulated from 27 causative mutations (QTNs) ...
Both theoretical calculations and simulation studies have been used to compare and contrast the stat...
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of ...
<p>The residual covariance matrix is modeled by correlation ρ = 0.6 and variance σ<sup>2</sup> = 0.2...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of ...
A comparison of power and accuracy of estimation of position and QTL effects of three multitrait met...
The power of testing for a population-wide association between a biallelic quantitative trait locus ...
<p>The power of the different methods to detect a QTN using a 5% significance level (based on the ob...
<div><p>Measurement error of a phenotypic trait reduces the power to detect genetic associations. We...
Figure S1. Power (α = 3.5x10-9) provided by the combined Australian and Dutch analysis to detect a q...
Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) wit...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
Multiple-trait analysis typically employs models that associate a quantitative trait locus (QTL) wit...
The power to detect a quantitative trait locus (QTL) in sib-pair data is investigated. We assume tha...
<p><b>A</b>) Statistical power was examined on a trait simulated from 27 causative mutations (QTNs) ...
Both theoretical calculations and simulation studies have been used to compare and contrast the stat...
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of ...
<p>The residual covariance matrix is modeled by correlation ρ = 0.6 and variance σ<sup>2</sup> = 0.2...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
Optimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of ...
A comparison of power and accuracy of estimation of position and QTL effects of three multitrait met...
The power of testing for a population-wide association between a biallelic quantitative trait locus ...
<p>The power of the different methods to detect a QTN using a 5% significance level (based on the ob...
<div><p>Measurement error of a phenotypic trait reduces the power to detect genetic associations. We...