How to use the mutation selection balance calculator
Find the equilibrium frequency of a harmful recessive allele maintained by recurrent mutation. Enter mutation rate per generation, selection coefficient against allele in the fields above; the equilibrium allele frequency, carrier frequency (2q) are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “mutation selection balance”, “equilibrium allele frequency”, “recurrent mutation frequency”, “calculate mutation selection balance”, “find equilibrium allele frequency”.
Formula
Variables
- mu — Mutation rate per generation
- s — Selection coefficient against allele
Worked example
With mutation rate per generation = 0.000001, selection coefficient against allele = 0.1, the calculator gives equilibrium allele frequency ≈ 0.00316228; carrier frequency (2q) ≈ 0.00632456.
Frequently asked questions
What is the mutation selection balance calculator used for?
Find the equilibrium frequency of a harmful recessive allele maintained by recurrent mutation. It helps with questions such as “mutation selection balance”, “equilibrium allele frequency”, “recurrent mutation frequency”.
What is the formula for the mutation selection balance calculation?
Equilibrium allele frequency = √(mu / s). Carrier frequency (2q) = 2 × [Equilibrium allele frequency]. Here mu is mutation rate per generation, s is selection coefficient against allele.
What inputs do I need for the mutation selection balance calculator?
You need mutation rate per generation, selection coefficient against allele. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the mutation selection balance calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the mutation selection balance result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.