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Fig. 9 | Genetics Selection Evolution

Fig. 9

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

Fig. 9

Comparison between E-GWAS when integrating different types of methods. a Numbers of true QTN detected and b numbers of false QTN detected. The simulated phenotype had a heritability of 0.6 and was controlled by 100 QTN. Based on the integration of four multi-locus methods (MLMM, mrMLM, BLINK, and FarmCPU), we compared the performance of E-GWAS by adding two single-locus methods (GEMMA and FastGWA), adding two Bayesian methods (BSLMM and Bayes B), and adding one single-locus method (FastGWA) and one Bayesian method (BSLMM). The comparisons were conducted with 100 replicates. The numbers of true and false positives among 100 replicates were recorded

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