E-GWAS: an ensemble-like GWAS strategy that provides effective control over false positive rates without decreasing true positives.

Using both simulated and real datasets, we show that E-GWAS is a reliable and robust strategy that effectively integrates the GWAS results of different methods and reduces the number of false positive SNPs without decreasing that of true positive SNPs.