Timeline for How to determine the probability that a mutation is lost / fixed?
Current License: CC BY-SA 3.0
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Apr 13, 2017 at 12:48 | history | edited | CommunityBot |
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Nov 17, 2016 at 16:46 | comment | added | The Nate | "The change" I meant was the mutation of interest. I understand/understood what the models represent; you answered the question. That set of (apparently customary?) simplifying assumptions is exactly what I was missing. | |
Nov 17, 2016 at 16:33 | history | edited | Remi.b | CC BY-SA 3.0 |
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Nov 17, 2016 at 16:32 | comment | added | Remi.b |
@TheNate I don't really understand your comment. Typically, what do you mean by "the change". These models are models of genetic drift, they assume all individuals have the same fitness. The probability of an individual to produce k offspring is given by a poisson distribution with rate \lambda=1 .
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Nov 17, 2016 at 16:28 | comment | added | The Nate | If you know the probability of an individual surviving, both without & with the change, you can calculate the probability of the gene surviving. This isn't actually knowable, so the details of the model used to estimate seem inescapably relevant to any answer to me. Am I missing something, here? | |
Nov 17, 2016 at 6:26 | comment | added | Remi.b | @user27813 Thanks for your comment. You are right, you said diploid population with $N=5$ and I considered a haploid population in my answer. It is fixed now. | |
Nov 17, 2016 at 6:25 | history | edited | Remi.b | CC BY-SA 3.0 |
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Nov 16, 2016 at 0:23 | history | answered | Remi.b | CC BY-SA 3.0 |