Fig. 2: ROC plots based on 100 simulated replicates of a constant population size model for selective sweep (left) and balancing selection (right) inference using the SweepFinder2 and the B0MAF method, respectively. | Heredity

Fig. 2: ROC plots based on 100 simulated replicates of a constant population size model for selective sweep (left) and balancing selection (right) inference using the SweepFinder2 and the B0MAF method, respectively.

From: Investigating the effects of chimerism on the inference of selection: quantifying genomic targets of purifying, positive, and balancing selection in common marmosets (Callithrix jacchus)

Fig. 2

Solid lines represent standard Wright-Fisher (WF) simulations, whilst dashed lines represent the twin-birth, chimeric-sampling non-WF framework outlined in Soni et al. (2025d), with the false-positive rate (FPR) and the true-positive rate (TPR) provided on the x-axis and y-axis, respectively. For selective sweep inference, power analyses were conducted across two selection regimes—population-scaled strengths of selection of 2Nes = 100 and 1000—with each simulation terminating at the point of fixation of the beneficial mutation. For balancing selection inference, the simulation was terminated at three values of τ (the time since the introduction of the balanced mutation): 10N, 50N, and 75N generations, where N = 10,000 (for details of simulation and inference schema, see “Materials and methods”).

Back to article page