GMRP (version 1.0.0)

beta.data: Beta Data Of SNP Regressed on Causal Variables and Disease

Description

Beta data are a matrix dataset consisting of 5 columns: cad, ldl, hdl, tg, and tc with 368 rows.

Usage

data("beta.data")

Value

A set of real regression coefficients of 368 SNPs on disease and causal variables.

Format

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

Source

http://csg.sph.umich.edu//abecasis/public/lipids2013/ \http://www.cardiogramplusc4d.org/downloads/

Details

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.

References

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.

Examples

data(beta.data)
## maybe str(beta.data) ; plot(beta.data) ...