Cross-Phenotype Meta-Analysis statistic algorithm

eagle-i ID

Resource Type

Properties

1. Resource Description

   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).

2. Additional Name

   CPMA statistic

3. Used by

   Voight Laboratory

4. Data Input

   SNP data

5. Data Output

   SNP-wise CPMA statistic

6. Software purpose

   Statistical analysis and modeling objective

7. Software purpose

   Population genetics analysis objective

8. Related Publication or Documentation

   Pervasive sharing of genetic effects in autoimmune disease

9. Website(s)

   http://coruscant.itmat.upenn.edu/software.html

10. Algorithm used

    Likelihood method

11. Coded in

    R language