Charith Bhagya Karunarathna edited subsection_Analysis_and_Approaches_begin__.tex  over 7 years ago

Commit id: e60840406074aba0483f160262db6b08978f041b

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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}