I am doing an admixture mapping analysis on Latino populations.

What I want to know is whether there is a standard? genome-wide threshold for correcting for multiple testing for these populations? Or a reference paper?

I know that the parameter of interest in this case is not the number of SNPs, but actually the number of ancestry blocks in the genome. So, what I first did, was to estimate the number of unique ancestry blocks per population, but this number exceeded 100K in most populations, which would be equivalent to correcting for 100,000 hypothesis. I know that it is not as large as the commonly used 1M hypothesis correction for GWAS, but I wanted to know if there is another method/approach to do this?

Thank you in advance.