boldGWAS Meta-analyzed Data of Coronary Artery Disease

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Description

cad.data are a matrix dataset consisting of 12 variables such as SNPID, SNP position on chromosomes, allele and alternative allele, allelic frequencies and 1069 SNPs.

Usage

1
data("cad.data")

Format

A data frame with 1609 observations on the following 12 variables.

SNP

a character vector

chr_pos_b36

a character vector

reference_allele

a character vector

other_allele

a character vector

ref_allele_frequency

a numeric vector

pvalue

a numeric vector

het_pvalue

a numeric vector

log_odds

a numeric vector

log_odds_se

a numeric vector

N_case

a numeric vector

N_control

a numeric vector

model

a character vector

Details

cad.data, also called CARDIoGRAM GWAS, are a meta-analyzed GWAS data from GWAS studies of European descent imputed to HapMap2 involving 22,233 cases and 64,762 controls. The data were downloaded from the following website.

Value

A data sheet consisting of 1609 rows(SNPs) and 12 columns(character vectors such as SNPID and allele, numeric vector such as allele frequency and beta coefficient. See data format above).

Source

http://www.cardiogramplusc4d.org/downloads/

References

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

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