# Calculate a Chi-squared Statistic and P-Value for Independent Items of a Set Using the GLOSSI Method

### Description

Calculates the p-value representing the association of the set with the phenotype of interest, assuming all items in the set are independent, using the GLOSSI method.

### Usage

1 | ```
glossi(pvals, snp.gsc)
``` |

### Arguments

`pvals` |
A numerical vector of p-values with names
corresponding to elements listed in the |

`snp.gsc` |
An object of class |

### Details

This function calculates a p-value for sets of SNPs that reside within a gene set collection. We calculate the chi- square p-values and statistic by applying Fisher's transformation to the observed p-values.

### Value

An object with the corresponding GLOSSI results. If
snp.gsc is a `GeneSetCollection`

(i.e., multiple sets of
interest), then the corresponding `GLOSSIResultCollection`

is returned. If snp.gsc is a `GeneSet`

, a `GLOSSIResult`

object will be returned.

### Author(s)

Jason Hackney, Jessica Larson, Caitlin McHugh mchughc@uw.edu

### References

Chai, High-Seng and Sicotte, Hughes et al. GLOSSI: a method to assess the association of genetic loci-sets with complex diseases. BMC Bioinformatics, 2009.

### Examples

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