FIC: Difference between revisions

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Many data sets consist of individuals from different populations, in the cases of structured populations,
#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>
 
=== Maintained by  ===
 
This page is maintained by  [mailto:atks@umich.edu Adrian] with much help from Hyun.

Latest revision as of 13:21, 4 June 2013