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Closed formula for computing power for AMOVA test

I'm doing a retrospective analysis of some genetic data using AMOVA - Analysis of MOlecular VAriance. (Do not mistake it with ANOVA!).

1. Does there exist a closed formula for statistical power for AMOVA test?
2. If not, could anyone advise how to compute statistical power for AMOVA test?

Some additional info.

Data: 7 populations, 3 subpopulations, 485 samples all together. Microsatelite data looks like this - haploid, 5 alleles (0 means allele missing):

Pop1 485 254 125 368 0
Pop1 262 354 125 0 342
...
Pop2 470 342 125 368 0
...
...
Pop7 460 451 213 0 487
...

Population vs. Subpopulation info:
        Sub1  Sub2  Sub3
Pop1    6     71    0
Pop2    0       9    0
Pop3    0    86    60
Pop4    0    45    30
Pop5    0    12    18
Pop6    0    87     8
Pop7    0    18    35

Here's the latest R package for AMOVA (not ANOVA) https://grunwaldlab.github.io/Population_Genetics_in_R/AMOVA.html

AMOVA was introduced in 1992, here's the original paper https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1205020/pdf/ge1312479.pdf

amova genetics

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