Annotation-based tests were based on six random annotations. aSPU: adaptive sum of powered score test; aSPU_minP: combining multiple p-values of aSPU tests by minimum p approach; aSPU_Fisher: to combining multiple p-values of aSPU tests by Fisher’s meta-analysis approach; FunSPU: multiple functional annotation-based SPU test; wtFunSPU: global weighted FunSPU; T1: burden test of variants with MAF smaller than 1%; SKAT: the sequence kernel association test; (w): inverse-variance weighted score function in the SPU framework.</p
<p>Two hundred nuclear families were simulated by admixing 100 from two populations A and B. See <a ...
This paper aims to highlight the problem of multiple significance testing with several dependent var...
<p>(A) QQ plot of -log10 p values from SNP set tests using different SNP weights under the null simu...
The incorporated annotations for association tests include one out of three informative annotations ...
<p>Empirical type I error rates for each association test at the nominal based on 10,000 simulation...
The empirical type I error rates of eight tests for different sample sizes under nominal significanc...
<p>Empirical type I error rates at the significance level of 0.05 based on 100 SNPs.</p
<p>We used to evaluate the type I errors of the pleiotropy test (Lower Right panel). In each settin...
<p>Empirical type I error rates at the significance level of 0.05 based on 10 SNPs.</p
Propensity scores are often used to adjust for between-group variation in covariates, when individua...
<p>The rows highlighted in bold report type I error rates of the procedures after SNP genotype was r...
<p>The test statistics are: Trend — Cochran-Armitage trend test; Chi-Square — Pearson's chi-square t...
<p>Significant level is 5%.</p><p>Note: S denotes sample size in trios; L denotes the number of geno...
<p>Significant level is 5%.</p><p>Note: S denotes sample size in trios; L denotes the number of geno...
<p>* Multiple Testing Correction: performed via Benjamini-Yekutieli procedure with a 5% threshold.</...
<p>Two hundred nuclear families were simulated by admixing 100 from two populations A and B. See <a ...
This paper aims to highlight the problem of multiple significance testing with several dependent var...
<p>(A) QQ plot of -log10 p values from SNP set tests using different SNP weights under the null simu...
The incorporated annotations for association tests include one out of three informative annotations ...
<p>Empirical type I error rates for each association test at the nominal based on 10,000 simulation...
The empirical type I error rates of eight tests for different sample sizes under nominal significanc...
<p>Empirical type I error rates at the significance level of 0.05 based on 100 SNPs.</p
<p>We used to evaluate the type I errors of the pleiotropy test (Lower Right panel). In each settin...
<p>Empirical type I error rates at the significance level of 0.05 based on 10 SNPs.</p
Propensity scores are often used to adjust for between-group variation in covariates, when individua...
<p>The rows highlighted in bold report type I error rates of the procedures after SNP genotype was r...
<p>The test statistics are: Trend — Cochran-Armitage trend test; Chi-Square — Pearson's chi-square t...
<p>Significant level is 5%.</p><p>Note: S denotes sample size in trios; L denotes the number of geno...
<p>Significant level is 5%.</p><p>Note: S denotes sample size in trios; L denotes the number of geno...
<p>* Multiple Testing Correction: performed via Benjamini-Yekutieli procedure with a 5% threshold.</...
<p>Two hundred nuclear families were simulated by admixing 100 from two populations A and B. See <a ...
This paper aims to highlight the problem of multiple significance testing with several dependent var...
<p>(A) QQ plot of -log10 p values from SNP set tests using different SNP weights under the null simu...