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We model assortative mating by taking α to be a random variable rather than a fixed probability, representing the fact that individuals from different subpopulations of C have different priors on their A ancestry.
That is, subpopulations with different amounts of A ancestry make nonzero contributions to the covariance.
The five individuals identified as putative hybrids by structure analysis using either marker type originated from the a priori D group of Côte d'Ivoire, and contained >20% group E or group A ancestry (Table 4).
We simulated a total of 450 admixture scenarios in which we varied three parameters: the age of the branch point A″ (1000, 2000, and 3000 generations), the date n of gene flow (20 300 in increments of 20), and the fraction α of A ancestry (50 95% in increments of 5%), as depicted in Figure S5.
Explicitly, we ran the commands: macs 160 1e8 -i 10 -h 1e4 -t 0.00004 -r 0.0004 -I 3 40 40 80 -em tMix 3 2 migRate -em tMixStop 3 2 0 -ej tSplit 1 3 -ej 0.1 2 3 where tMix and tSplit correspond to n and the age of A″, while migRate and tMixStop produce a pulse of gene flow from the B′ branch giving C′ a fraction α of A ancestry.
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This statistical interaction between a specific ancestry and a segment identifier can be described as a predictor combining an ancestry indicator with the segment identifier.
It seems odd to say, but I realised for the first time that I had a background and an ancestry that were fascinating and worth exploring.
I took an ancestry test a few months ago and was impressed with the accuracy of my ancestry results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com