Fig. 3
Robustness of the inferred h–s relationship. a The inferred h–s relationship depends on the assumed functional form of the relationship and on assumptions regarding the DFE. However, all estimated curves converge to strong recessivity for selection coefficients s < −0.0005 (see also Supplementary Table 3). The inverse h–s relationship is defined by Eq. (1), the logistic relationship is defined by the formula \(h = {\mathrm{\theta }}_{{\mathrm{intercept}}}(\frac{{1 + e^{ - {\mathrm{\theta }}_{{\mathrm{offset}}}}}}{{1 + e^{{\mathrm{\theta }}_{{\mathrm{rate}}}\left| s \right| - {\mathrm{\theta }}_{{\mathrm{offset}}}}}})\). b Substantial variation in the dominance coefficient h for particular values of s has only a modest effect on the estimation of the h–s relationship. The estimated curves (green; 10 replicates) closely follow the simulated mean relationship between h and s (dashed blue line). However, the estimated intercept parameter, defining the dominance of almost-neutral mutations, is upwardly biased. Orange dots denoted individual h and s coefficients for mutations
