CAST {Ravages} | R Documentation |
Cohort Allelic Sum Test
Description
Calculates the CAST genetic score
Usage
CAST(x, genomic.region = x@snps$genomic.region, maf.threshold = 0.5,
flip.rare.alleles = T)
Arguments
x |
A bed.matrix |
genomic.region |
A factor defining the genomic region of each variant |
maf.threshold |
The MAF used for the definition of a rare variant, set at 0.5 by default, i.e. all variants are kept |
flip.rare.alleles |
Whether to flip the A1/A2 alleles if the A1 allele is rare, set at T by default |
Details
By default, CAST counts if an individual carries at least one rare allele in the genomic region. If flip.rare.alleles = F
and the reference allele A1 is rare, the alles A1 and A2 won't be flipped and CAST will count the number of alternative alleles A2.
Value
A matrix containing the CAST genetic score with one row per individual and one column per genomic.region
References
Morgenthaler S and Thilly WG. A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: a cohort allelic sums test (CAST). Mutat Res. 2007
See Also
WSS
, burden.weighted.matrix
, burden.mlogit
Examples
#Import data in a bed matrix
x <- as.bed.matrix(x=LCT.matrix.bed, fam=LCT.matrix.fam, bim=LCT.snps)
# Group variants within known genes
x <- set.genomic.region(x)
# Filter variants with maf (computed on whole sample) < 0.025
# keeping only genomic region with at least 10 SNPs
x1 <- filter.rare.variants(x, filter = "whole", maf.threshold = 0.025, min.nb.snps = 10)
# Compute burden score CAST
score.CAST <- CAST(x1, maf.threshold=0.025)