Difference between revisions of "FIC"

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(Created page with 'Many data sets consist of individuals from different populations, in the cases of structured populations, this usually result in an increased number of homozygotes. The inbreedi…')
 
 
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Many data sets consist of individuals from different populations, in the cases of structured populations,
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#REDIRECT [[Genotype_Likelihood_based_Inbreeding_Coefficient]]
this usually result in an increased number of homozygotes.
 
 
 
The inbreeding coefficient FIC is a measure of deviation away from the Hardy Weinberg Equilibrium. 
 
A value of 0 implies no deviation, a negative value implies an excess of heterozygotes and a positive value implies an excess of homozygotes.
 
 
 
The following equation gives the estimate of F where the observed genotypes are available.
 
 
 
<math>
 
\begin{align}
 
        F_{IC} & =  1 - \frac{O(Het)}{E(Het)}  \\
 
  & =  1 - \frac{\text{No. observed HETs}}{E(Het|\textbf{p)}}  \\
 
                & =  1 - \frac{\text{No. observed HETs}}{\sum_{i=1}^{n}{\sum_j{P(Het_j|\textbf{p})}}}  \\
 
 
 
\end{align}
 
</math>
 
       
 
The following equation gives the estimate of F where genotype likelihoods are available.
 
 
 
<math>
 
\begin{align}
 
F_{IC} & =  1 - \frac{O(Het)}{E(Het)}  \\
 
  & = 1 - \frac{E(Het|R_i, \textbf{p})}{E(Het|\textbf{p})}  \\
 
  & = 1 - \frac{\sum_{i=1}^{n}{\sum_j{P(Het_j|R_i , \textbf{p})}}} {\sum_{i=1}^{n}{\sum_{j}{P(Het_j|\textbf{p})}}}    \\
 
  & = 1 - \frac{\sum_{i=1}^{n}{\sum_j{\frac{P(R_i|Het_j,\textbf{p})P(Het_j|\textbf{p})}{\sum_{(k,l)}{P(R_i|G_{(k,l)},\textbf{p})P(G_{(k,l)}|\textbf{p})}}}}}
 
              {\sum_{i=1}^{n}{\sum_j{P(Het_j|\textbf{p})}}}  \\
 
\end{align}
 
</math>
 
 
 
where:
 
 
 
<math>
 
\begin{align}
 
 
 
          P(G_{(k,l)}|\textbf{g}) & = & g_{(k,l)}
 
 
 
\end{align}
 
</math>
 
 
 
<math>
 
P(G_{(k,l)}|\textbf{p})  =
 
\begin{cases}
 
p_k^2, & \text{if }k=l \\
 
      2p_kp_l, & \text{if }k \ne l
 
\end{cases}
 
</math>
 

Latest revision as of 13:21, 4 June 2013