SigmaP is a rare-variant method for detecting disease assoociations in case-control sequencing studies. The Sigma-P statistic aggregates the effects of multiple variant sites by computing a weighted sum of the log p-values per site. Each site is weighted by the inverse of its expected standard deviation (denoted by sigma) of the number of variants in controls. The method is robust against signal noise introduced by a large number of neutral variants and is effective for handling variants with opposite effects.
Wang Lab @ Biostatistics Department
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Genet Epidemiol. 2012 Nov;36(7):675-85. doi: 10.1002/gepi.21662. Epub 2012 Aug 3.
A fast and noise-resilient approach to detect rare-variant associations with deep sequencing data for complex disorders.
Cheung YH1, Wang G, Leal SM, Wang S.