Last updated: 2023-03-02
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Knit directory: POPFORGE/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | a4a7d45 | Tina Lasisi | 2023-03-02 | Build site. |
| html | 00073fd | Tina Lasisi | 2023-03-02 | Build site. |
| Rmd | d6a84df | Tina Lasisi | 2023-03-02 | Update website |
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| Rmd | 13ed9ae | Tina Lasisi | 2023-03-02 | Publishing POPFORGE |
| html | 13ed9ae | Tina Lasisi | 2023-03-02 | Publishing POPFORGE |
Coop & Edge (2019) use a population genetics approach to estimate the likelihood of finding a genetic relative in a database. They assumes that two individuals are related if they share a certain number of genetic blocks, which is determined by the degree of relatedness (e.g. first cousin, second cousin, etc.). Using this assumption, they calculates the expected number of blocks shared between two individuals of a given degree of relatedness based on the size of the genetic database and the population size. They then uses the Poisson distribution to estimate the probability of finding at least one relative of a given degree of relatedness in a database of a certain size.
The original code can be found here
sessionInfo()R version 4.2.2 (2022-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.0.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] workflowr_1.7.0
loaded via a namespace (and not attached):
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