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Figure 4 | BMC Proceedings

Figure 4

From: Comparison of analyses of the QTLMAS XII common dataset. II: genome-wide association and fine mapping

Figure 4

Accuracy and bias in estimates of QTL effects. In (A), a function of the square root of the estimated genetic variance of the QTL divided by the simulated genetic variance is shown. In (B)-(G), the difference between the estimated and simulated effect (average effect of allelic substitution) as a percentage of the simulated effect is shown. Potential relationships between the degree of inaccuracy and the simulated effect, minor allele frequency and percentage phenotypic variance explained by the QTL were tested by least squares linear regression for each study and the one with the lowest p-value (not dependent on outliers) is illustrated in (A)-(F). In (A), a relationship with the square of minor allele frequency and a zero intercept was fitted. Lines show significant relationships (p < 0.05) and regression equations and R2 values are given. Symbols indicate which values were overestimated and which were underestimated. (G) shows the comparable relationship with simulated effect for our multiple regression model. P-values were: (A) 0.003, (B) 0.6, (C) 0.3, (D) 0.006, (E) 0.15, (F) 0.07, (G) 0.0005.

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