I’ve posted notes on using the phenotypic resemblance among relatives to estimate quantitative genetic parameters and on understanding the evolution of quantitative traits. I’m going to post a link to additional notes on multivariate selection gradients in a couple of hours. I want to spend a little time introducing the approach during Thursday’s lecture. That means that I’ll have to cut some of the mathematical details short during lecture and focus on the results and general principles. I know you’re all disappointed in that, but I’m sure you’ll be able to adjust.

I want to know how to discuss mismatch distribution vis-à-vis Tajima’s D and Fu’s Fs.

Which analysis best describes population expansion, can I use both?

Tajima’s D and Fu’s Fs give different information. Both are useful. And they may be most useful together.