<p>The proportion of simulated traits for which the -log10(p) value of the causal SNP is above the threshold, for single trait mapping (red), bivariate ETM with the most correlated environmental variable (black), and bivariate ETM with 4 different prediction methods (LM, EN, RF, CCA; respectively green, blue, brown and purple). Bivariate ETM was performed by testing for a common marker effect (left) and by testing whether there is any effect on environment or trait (right). The causal SNP explained 5% of the variance of the simulated trait, while polygenic background and residual variance explained respectively 45% and 50%.</p
<p>LME-RSI: a linear mixed-effects model with random slope and intercept; LME-RI: a linear mixed-eff...
In the thesis, a statistical simulation-based framework is presented that is intended for making sam...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>Data were simulated based on real data by random selection of 1, 5 or 10 genotyped SNPs at either...
<p>(A) QQ plot of -log10 p values from SNP set tests using different SNP weights under the null simu...
Power to detect genetic and environmental influences increases not only with sample size but also wi...
<p><b>) for all-pairs (left) and Marcus-type (right) comparisons using normal (upper row) and log-no...
<p><b>) for all-pairs (left) and Marcus-type (right) comparisons using normal (upper row) and log-no...
<p>Graphical presentation of bivariate variance modelling results for PC1–PC2 &SNR (Panel A) and PTA...
<p>A-D, KW, MLM and LM. The “Power” was defined as the detection frequency in 500 repeats for a cert...
<p>Performance is measured by Relative Predictive Gain (RPG). True PVE = 0.6. Means and standard dev...
<p><b>Panel A</b> shows the simulated power for the sex-stratified model, <b>Panel B</b> shows the p...
<p>In each simulation, a total of 10,000 summary association statistics were generated for eight tra...
<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. T...
<p>Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and he...
<p>LME-RSI: a linear mixed-effects model with random slope and intercept; LME-RI: a linear mixed-eff...
In the thesis, a statistical simulation-based framework is presented that is intended for making sam...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>Data were simulated based on real data by random selection of 1, 5 or 10 genotyped SNPs at either...
<p>(A) QQ plot of -log10 p values from SNP set tests using different SNP weights under the null simu...
Power to detect genetic and environmental influences increases not only with sample size but also wi...
<p><b>) for all-pairs (left) and Marcus-type (right) comparisons using normal (upper row) and log-no...
<p><b>) for all-pairs (left) and Marcus-type (right) comparisons using normal (upper row) and log-no...
<p>Graphical presentation of bivariate variance modelling results for PC1–PC2 &SNR (Panel A) and PTA...
<p>A-D, KW, MLM and LM. The “Power” was defined as the detection frequency in 500 repeats for a cert...
<p>Performance is measured by Relative Predictive Gain (RPG). True PVE = 0.6. Means and standard dev...
<p><b>Panel A</b> shows the simulated power for the sex-stratified model, <b>Panel B</b> shows the p...
<p>In each simulation, a total of 10,000 summary association statistics were generated for eight tra...
<p>For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. T...
<p>Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and he...
<p>LME-RSI: a linear mixed-effects model with random slope and intercept; LME-RI: a linear mixed-eff...
In the thesis, a statistical simulation-based framework is presented that is intended for making sam...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...