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Cross-Phenotype Meta-Analysis statistic algorithm
eagle-i ID
http://eagle-i.itmat.upenn.edu/i/0000013d-417c-2cc4-ae62-bb6880000000
Resource Type
Properties
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Resource Description
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This novel statistic for Cross Phenotype Meta-Analysis (CPMA) detects association of a SNP to multiple, but not necessarily all, phenotypes.
CPMA tests deviation from the expected exponential behaviour of -log(p) for a set of associations to a SNP.
CPMA-signed algorithm was updated slightly, ensuring that the statistics is signed given the direction of the non-randomness (negative values if the distribution of p-values are non-random in favor of p-values > 0.5, say).
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Additional Name
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CPMA statistic
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Used by
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Voight Laboratory
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Data Input
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SNP data
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Data Output
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SNP-wise CPMA statistic
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Software purpose
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Statistical analysis and modeling objective
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Software purpose
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Population genetics analysis objective
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Related Publication or Documentation
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Pervasive sharing of genetic effects in autoimmune disease
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Website(s)
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http://coruscant.itmat.upenn.edu/software.html
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Algorithm used
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Likelihood method
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Coded in
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R language
