Reputation: 47
I have used matrixEQT
L R package using 1,002,800
SNPs, 29,000
genes and a Bonferroni correction of p-value 1.4e-12
. I have 400
samples and used the first five principal components
as covariates. It has given 1148000
cis associations and 73136000
trans associations. I have checked other studies with comparative number of genes and SNPs resulting in around 3000
cis and 95000
trans associations. I have used:
me = Matrix_eQTL_main(
snps = snps,
gene = gene,
cvrt = cvrt,
output_file_name = output_file_name_tra,
pvOutputThreshold = 1.6e-12,
useModel = useModel,
errorCovariance = numeric(),
verbose = TRUE,
output_file_name.cis = output_file_name_cis,
pvOutputThreshold.cis = 1.6e-12,
snpspos = snpspos,
genepos = genepos,
cisDist = cisDist,
pvalue.hist = FALSE,
min.pv.by.genesnp = FALSE,
noFDRsaveMemory = FALSE);
Please help me to understand why I am getting too many associations? Thank you!
Upvotes: 1
Views: 69