Description Usage Format Details Value Source References Examples
Beta data are a matrix dataset consisting of 5 columns: cad, ldl, hdl, tg, and tc with 368 rows.
1 | data("beta.data")
|
A data frame with 368 observations on the following 5 variables.
cad
a numeric vector
ldl
a numeric vector
hdl
a numeric vector
tg
a numeric vector
tc
a numeric vector
Beta data are a matrix consisting of regression coefficients of 368 SNPs on cad, ldl, hdl, tg, tc where cad
is coronary artery disease, ldl
is low-density lipoprotein cholesterol, hdl
, high-density lipoprotein cholesterol, tg
,triglycerides and tc
, total cholesterol in plasma. These 368 SNPs were obtained by using mktable
from GWAS meta-analyzed data.
A set of real regression coefficients of 368 SNPs on disease and causal variables.
http://csg.sph.umich.edu//abecasis/public/lipids2013/
\http://www.cardiogramplusc4d.org/downloads/
Willer CJ et al. Discovery and refinement of loci associated with lipid levels. Nat. Genet. 2013. doi:10.1038/ng.2797.
\Schunkert, H. et al. 2011. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet 43: 333-338.[online]
\Schunkert H, Konig IR, Kathiresan S, Reilly MP, Assimes TL, Holm H et al. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet. 2011 43: 333-338.
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Attaching package: ‘BiocGenerics’
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clusterExport, clusterMap, parApply, parCapply, parLapply,
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order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
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path
Warning message:
Package 'GMRP' is deprecated and will be removed from Bioconductor
version 3.7
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