Calculates the p-value representing the association of the set with the phenotype of interest.

1 2 |

`set` |
A |

`assoc_table` |
An object of class |

`ldMatrix` |
A square, symmetric matrix of LD values, with each row and column corresponding to each of the items in the set. The diagonal entries should be 1, indicating the LD between an item in the set and itself is 1. |

`num_sims` |
A positive integer value for the number of simulations to be performed. Default is 1000. |

`correction` |
A logical argument indicating whether a value of one should be added to the numerator and denominator when calculating the p-value based upon the simulated statistics. By default, the correction is added and this argument is TRUE. |

`seed` |
An integer argument indicating what the random seed should be set to. This allows for replication of results. The default is NULL, and a random seed will be set internally. |

`verbose` |
A logical argument indicating whether output should be printed. The default is FALSE. |

This function calculates a p-value for sets of SNPs that reside within a gene set collection. We calculate the null distribution by taking into account the observed correlation among the SNPs and simulating a specified number of statistics from which the resulting p-value is calculated.

An object with the corresponding VEGAS results. If set
is a `GeneSetCollection`

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

is returned. If set is a `GeneSet`

, a `VEGASResult`

object will be returned.

Caitlin McHugh mchughc@uw.edu

Liu, Jimmy Z. and Mcrae, Allan F. et al. A Versatile Gene-Based Test for Genome-Wide Association Studies. The American Journal of Human Genetics, 2010.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.