gwa_sample {QCGWAS} | R Documentation |
Sample dataset for the QCGWAS package
Description
A fake GWAS results dataset for use in the examples.
Usage
data(gwa_sample)
Format
A data frame with 10000 observations on the following 15 variables.
MARKER
a character vector; the SNP IDs.
STRAND
a character vector; the DNA strand of the listed alleles.
CHR
a character vector; the chromosome of the listed SNP.
POSITION
a numeric vector; the basepair position of the listed SNP.
EFFECT_ALL
a character vector; the effect allele.
OTHER_ALL
a character vector; the non-effect allele.
N_TOTAL
a numeric vector; the sample size.
EFF_ALL_FREQ
a numeric vector; frequency of the effect-allele in the dataset.
HWE_PVAL
a numeric vector; Hardy-Weinberg (HWE) p-value of the listed alleles.
CALLRATE
a numeric vector; SNP callrate.
EFFECT
a numeric vector; effect size of the listed effect allele.
STDERR
a numeric vector; standard error of the effect.
PVALUE
a numeric vector; p-value of the effect.
IMPUTED
a numeric vector; imputation status - i.e. whether the SNP is genotyped (
0
) or imputed (1
).IMP_QUALITY
a numeric vector; imputation quality.