Description Usage Arguments Value Author(s) References See Also Examples
The function performs meta-analysis for multiple multivariate GWA analyses
1 | MultiMeta(reslist, outfile = "Multivariate_meta-analysis_results.txt")
|
reslist |
A list where each element is a multivariate GWA result of class "MultiRes". |
outfile |
A string giving the path and file name of the output file. By default, a file
named |
The function returns a matrix containing the meta-analysis results, where the row names are
the variants names, and the column names are the names of the studies provided in reslist
or
generated by the program if no names are given, with an extra column "p.meta"
containing the
meta-analysis P-values. The results are also written into outfile
.
Xia Shen
Xia Shen, ..., Gordan Lauc, Jim Wilson, Yurii Aulchenko (2014). Multi-omic-variate analysis identified the association between 14q32.33 and compound N-Glycosylation of human Immunoglobulin G Submitted.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
## loading two gwaa.data sets in GenABEL
data(ge03d2)
data(ge03d2ex)
## in each dataset, running multivariate GWAS for 3 traits: height, weight, bmi
res1 <- Multivariate(gwaa.data = ge03d2, trait.cols = c(5, 6, 8),
covariate.cols = c(2, 3))
res2 <- Multivariate(gwaa.data = ge03d2ex.clean, trait.cols = c(5, 6, 8),
covariate.cols = c(2, 3))
## running meta-analysis by combining the P-values
meta <- MultiMeta(list(res1, res2))
## End(Not run)
|
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