snpgdsHWE {SNPRelate} | R Documentation

## Statistical test of Hardy-Weinberg Equilibrium

### Description

Calculate the p-values for the exact SNP test of Hardy-Weinberg Equilibrium.

### Usage

    snpgdsHWE(gdsobj, sample.id=NULL, snp.id=NULL, with.id=FALSE)

### Arguments

`gdsobj` | an object of class `SNPGDSFileClass`, a SNP GDS file
`sample.id` | a vector of sample id specifying selected samples; if `NULL`, all samples will be used
`snp.id` | a vector of snp id specifying selected SNPs; if `NULL`, all SNPs will be used
`with.id` | if `TRUE`, the returned value with sample and SNP IDs

### Value

If `with.id=FALSE`, return a vector of numeric values (p-value); otherwise, return a list with three components "pvalue", "sample.id" and "snp.id".

### Author(s)

Xiuwen Zheng, Janis E. Wigginton

### References

Wigginton, J. E., Cutler, D. J. & Abecasis, G. R. A note on exact tests of Hardy-Weinberg equilibrium. Am. J. Hum. Genet. 76, 887-93 (2005).

### See Also

`snpgdsSNPRateFreq`

### Examples

    # open an example dataset (HapMap)
    genofile <- snpgdsOpen(snpgdsExampleFileName())

    # Japanese samples
    sample.id <- read.gdsn(index.gdsn(genofile, "sample.id"))
    pop <- read.gdsn(index.gdsn(genofile, "sample.annot/pop.group"))
    (samp.sel <- sample.id[pop=="JPT"])
    samp.sel <- samp.sel[nchar(samp.sel) == 7]

    # chromosome 1
    snp.id <- snpgdsSelectSNP(genofile, sample.id=samp.sel, autosome.only=1L)

    # HWE test
    p <- snpgdsHWE(genofile, sample.id=samp.sel, snp.id=snp.id)
    summary(p)

    # QQ plot
    plot(-log10((1:length(p))/length(p)), -log10(p[order(p)]),
    	xlab="-log10(expected P)", ylab="-log10(observed P)", main="QQ plot")
    abline(a=0, b=1, col="blue")

    # close the genotype file
    snpgdsClose(genofile)

[Package SNPRelate version 1.14.0 Index]