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SKAT.SSD.All

SNP-set Kernel Association Test


Description

Iteratively carry out association tests with phenotypes and SNP sets in SSD file.

Usage

SKAT.SSD.All(SSD.INFO, obj, ..., obj.SNPWeight=NULL)
	
	SKATBinary.SSD.All(SSD.INFO, obj, ..., obj.SNPWeight=NULL)

Arguments

SSD.INFO

SSD_INFO object returned from Open_SSD.

obj

output object from SKAT_Null_Model.

...

further arguments to be passed to “SKAT” or “SKATBinary”.

obj.SNPWeight

output object from Read_SNP_WeightFile (default=NULL). If NULL, the beta weight with the “weights.beta” parameter will be used.

Details

Please see SKAT or SKATBinary for details.

Value

results

dataframe that contains SetID, p-values (P.value), the number of markers in the SNP sets (N.Marker.All), and the number of markers to test for an association after excluding non-polymorphic or high missing rates markers (N.Marker.Test). The output dataframe from SKATBinary.SSD.All have more columns for the method to compute p-values and the minimum achievable p-values (MAP).

P.value.Resampling

the matrix that contains p-values of resampled phenotypes.

Author(s)

Seunggeun Lee


SKAT

SNP-Set (Sequence) Kernel Association Test

v2.0.1
GPL (>= 2)
Authors
Seunggeun (Shawn) Lee and Zhangchen Zhao, with contributions from Larisa Miropolsky and Michael Wu
Initial release
2020-10-20

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