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Balding–Nichols model

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Model in population genetics
Balding-Nichols
Probability density function
Cumulative distribution function
Parameters 0 < F < 1 {\displaystyle 0<F<1} (real)
0 < p < 1 {\displaystyle 0<p<1} (real)
For ease of notation, let
α = 1 F F p {\displaystyle \alpha ={\tfrac {1-F}{F}}p} , and
β = 1 F F ( 1 p ) {\displaystyle \beta ={\tfrac {1-F}{F}}(1-p)}
Support x ( 0 ; 1 ) {\displaystyle x\in (0;1)\!}
PDF x α 1 ( 1 x ) β 1 B ( α , β ) {\displaystyle {\frac {x^{\alpha -1}(1-x)^{\beta -1}}{\mathrm {B} (\alpha ,\beta )}}\!}
CDF I x ( α , β ) {\displaystyle I_{x}(\alpha ,\beta )\!}
Mean p {\displaystyle p\!}
Median I 0.5 1 ( α , β ) {\displaystyle I_{0.5}^{-1}(\alpha ,\beta )} no closed form
Mode F ( 1 F ) p 3 F 1 {\displaystyle {\frac {F-(1-F)p}{3F-1}}}
Variance F p ( 1 p ) {\displaystyle Fp(1-p)\!}
Skewness 2 F ( 1 2 p ) ( 1 + F ) F ( 1 p ) p {\displaystyle {\frac {2F(1-2p)}{(1+F){\sqrt {F(1-p)p}}}}}
MGF 1 + k = 1 ( r = 0 k 1 α + r 1 F F + r ) t k k ! {\displaystyle 1+\sum _{k=1}^{\infty }\left(\prod _{r=0}^{k-1}{\frac {\alpha +r}{{\frac {1-F}{F}}+r}}\right){\frac {t^{k}}{k!}}}
CF 1 F 1 ( α ; α + β ; i t ) {\displaystyle {}_{1}F_{1}(\alpha ;\alpha +\beta ;i\,t)\!}

In population genetics, the Balding–Nichols model is a statistical description of the allele frequencies in the components of a sub-divided population. With background allele frequency p the allele frequencies, in sub-populations separated by Wright's FST F, are distributed according to independent draws from

B ( 1 F F p , 1 F F ( 1 p ) ) {\displaystyle B\left({\frac {1-F}{F}}p,{\frac {1-F}{F}}(1-p)\right)}

where B is the Beta distribution. This distribution has mean p and variance Fp(1 – p).

The model is due to David Balding and Richard Nichols and is widely used in the forensic analysis of DNA profiles and in population models for genetic epidemiology.


References

  1. Balding, DJ; Nichols, RA (1995). "A method for quantifying differentiation between populations at multi-allelic loci and its implications for investigating identity and paternity". Genetica. 96 (1–2). Springer: 3–12. doi:10.1007/BF01441146. PMID 7607457. S2CID 30680826.
  2. Alkes L. Price; Nick J. Patterson; Robert M. Plenge; Michael E. Weinblatt; Nancy A. Shadick; David Reich (2006). "Principal components analysis corrects for stratification in genome-wide association studies" (PDF). Nature Genetics. 38 (8): 904–909. doi:10.1038/ng1847. PMID 16862161. S2CID 8127858. Archived from the original (PDF) on 2008-07-03. Retrieved 2009-02-19.
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