Drift Variance
Compute the expected one-generation variance in allele frequency under diploid Wright-Fisher drift: p × (1 - p) / (2Ne), where Ne is the effective number of breeding individuals.
Description
Compute the expected one-generation variance in allele frequency under diploid Wright-Fisher drift: p × (1 - p) / (2Ne), where Ne is the effective number of breeding individuals.
Drift Variance is a focused biology tool that compute the expected one-generation variance in allele frequency under diploid Wright-Fisher drift: p × (1 - p) / (2Ne), where Ne is the effective number of breeding individuals. It calculates locally from the values you enter and exposes the result without changing the source observations.1
When to use Drift Variance
Use Drift Variance when you need to compute the expected one-generation variance in allele frequency under diploid Wright-Fisher drift: p × (1 - p) / (2Ne), where Ne is the effective number of breeding individuals. Enter Allele frequency p and Effective population size Ne using the definitions and units below so the result can be reproduced.
- Allele frequency p
- A finite measured or assumed value from 0 through 1.
- Effective population size Ne
- An integer count or setting greater than or equal to 1.
How Drift Variance calculates the result
The published tool contract uses this rule: Compute the expected one-generation variance in allele frequency under diploid Wright-Fisher drift: p × (1 - p) / (2Ne), where Ne is the effective number of breeding individuals.
- Drift variance
- The calculated drift variance.
Limitations of Drift Variance
A ratio or percentage can conceal the scale of its numerator and denominator and becomes sensitive to measurement error when the denominator is small. Allele frequency p must remain between 0 and 1.
Alternative or Complementary measurements
Retain the original Allele frequency p and Effective population size Ne values and their units alongside the result. Additive Variance Component is useful when you instead need to derive the additive genetic variance by subtracting dominance and epistatic components from the total genetic variance. Dominance Variance Share provides another view by helping you express the dominance variance component as a percentage of the total genetic variance.
References
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Genetic drift — Wikipedia contributors
Similar or alternative tools
- Additive Variance Component
Derive the additive genetic variance by subtracting dominance and epistatic components from the total genetic variance.
- Dominance Variance Share
Express the dominance variance component as a percentage of the total genetic variance.
- Epistasis Variance Share
Express the epistatic variance component as a percentage of the total genetic variance.