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Charith Bhagya Karunarathna edited subsection_Analysis_and_Approaches_begin__.tex
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\begin{itemize}
\item The variable threshold (VT) approach of \citeNP{Price_2010} is based on the regression of phenotypes onto the counts of variants whose minor allele frequencies (MAFs) are below some threshold (e.g. $5\%$) CHECK THIS.
\item Variants with MAF below some threshold are more likely to be functional than the variants with higher MAF.
\item For each possible MAF threshold, a genotype score is computed based on
a given collapsing
theme. theme(CHECK THIS). The chosen MAF threshold maximizes the association signal and permutation testing is used to adjust for the multiple thresholds.
\item
In their simulations, \citeNP{Price_2010} found that the VT approach had high power to detect the association between rare variants and disease traits when effects are in one
direction in their simulations. direction.
%\item We used VTWOD function in RVtests R package \cite{Xu_2012}.
\end{itemize}