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Fig. 8 | Genetics Selection Evolution

Fig. 8

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

Fig. 8

Comparison between E-GWAS when integrating different numbers 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 one to three single-locus methods (EMMAX, GEMMA, and FastGWA) in sequence, and adding one to three Bayesian methods (BSLMM, BayesB, and BayesCÏ€) in sequence. The comparisons were conducted with 100 replicates. The numbers of true and false positives across 100 replicates were recorded. E-GWAS that integrated four multi-locus methods, E-GWAS that integrated four multi-locus methods and three single-locus methods, and E-GWAS that integrated four multi-locus methods and three Bayesian methods are represented in red, green, and blue, respectively

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Genetics Selection Evolution

ISSN: 1297-9686