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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GMRP documentation built on Nov. 27, 2018, 6:01 p.m.

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