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- W3011245935 abstract "A popular approach to learning about admixture from population genetic data is by computing the allele-sharing summary statistics known as f-statistics. Compared to some methods in population genetics, f-statistics are relatively simple, but interpreting them can still be complicated at times. In addition, f-statistics can be used to build admixture graphs (multi-population trees allowing for admixture events), which provide more explicit and thorough modeling capabilities but are correspondingly more complex to work with. Here, I discuss some of these issues to provide users of these tools with a basic guide for protocols and procedures. My focus is on the kinds of conclusions that can or cannot be drawn from the results of f4-statistics and admixture graphs, illustrated with real-world examples involving human populations." @default.
- W3011245935 created "2020-03-23" @default.
- W3011245935 creator A5073759229 @default.
- W3011245935 date "2020-03-15" @default.
- W3011245935 modified "2023-10-14" @default.
- W3011245935 title "Interpreting <em>f</em>-Statistics and Admixture Graphs: Theory and Examples" @default.
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- W3011245935 doi "https://doi.org/10.20944/preprints202003.0237.v1" @default.
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