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Equation 27 · Evolutionary Biology and Ecology in Practice: An Advanced Technical Guide

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r^2\hat{r}^2

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the mean squared correlation of allele frequencies across pairs of loci observed in the sample. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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r^2\hat{r}^2

Symbol hatr^2

the mean squared correlation of allele frequencies across pairs of loci observed in the sample.

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superscript

superscript

A raised number can be a power. When it is a label or bound, it selects a case or the upper limit of a sum; the formula’s structure distinguishes these uses.

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where r^2\hat{r}^2 is the mean squared correlation of allele frequencies across pairs of loci observed in the sample, and S is the sample size, with the 1/S term correcting for the sampling bias that a finite number of genotyped individuals introduces into r^2\hat{r}^2 even when the true population NeN_e is large. The practical consequence practitioners have to internalize: r^2\hat{r}^2 is estimated with noise from a finite sample, and that noise itself creates apparent linkage disequilibrium indistinguishable from drift-generated LD unless it is explicitly subtracted — which is exactly what the 1/S term does, and why the estimator is only trustworthy when the sample size and locus count used to…
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where r^2\hat{r}^2 is the mean squared correlation of allele frequencies across pairs of loci observed in the sample, and S is the sample size, with the 1/S term correcting for the sampling bias that a finite number of genotyped individuals introduces into r^2\hat{r}^2 even when the true population NeN_e is large. The practical consequence practitioners have to internalize: r^2\hat{r}^2 is estimated with noise from a finite sample, and that noise itself creates apparent linkage disequilibrium indistinguishable from drift-generated LD unless it is explicitly subtracted — which is exactly what the 1/S term does, and why the estimator is only trustworthy when the sample size and locus count used to compute it are reported alongside the point estimate, not just the final N^e\hat{N}_e .

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