lpd.data: GWAS Meta-analyzed Data of Lipoprotein Cholesterols

Description

lpd.data are standard GWAS Meta-analyzed dataset of lipoprotein cholesterols. It was constructed by merging four datasets: Mc_HDL.txt,Mc_LDL.txt, Mc_TC.txt and Mc_TG.txt.

Usage

data("lpd.data")

Arguments

Value

A data sheet consisting of 1609 rows (SNPs) and 40 columns(character vectors such as SNPID and allele, numeric vector such as allele frequency, beta coefficient. See data format above).

Format

A data frame with 1609 observations on the following 40 variables.

SNP_hg18.HDL: a character vector
SNP_hg19.HDL: a character vector
rsid.HDL: a character vector
A1.HDL: a character vector
A2.HDL: a character vector
beta.HDL: a numeric vector
se.HDL: a numeric vector
N.HDL: a numeric vector
P.value.HDL: a numeric vector
Freq.A1.1000G.EUR.HDL: a numeric vector
SNP_hg18.LDL: a character vector
SNP_hg19.LDL: a character vector
rsid.LDL: a character vector
A1.LDL: a character vector
A2.LDL: a character vector
beta.LDL: a numeric vector
se.LDL: a numeric vector
N.LDL: a numeric vector
P.value.LDL: a numeric vector
Freq.A1.1000G.EUR.LDL: a numeric vector
SNP_hg18.TG: a character vector
SNP_hg19.TG: a character vector
rsid.TG: a character vector
A1.TG: a character vector
A2.TG: a character vector
beta.TG: a numeric vector
se.TG: a numeric vector
N.TG: a numeric vector
P.value.TG: a numeric vector
Freq.A1.1000G.EUR.TG: a numeric vector
SNP_hg18.TC: a character vector
SNP_hg19.TC: a character vector
rsid.TC: a character vector
A1.TC: a character vector
A2.TC: a character vector
beta.TC: a numeric vector
se.TC: a numeric vector
N.TC: a numeric vector
P.value.TC: a numeric vector
Freq.A1.1000G.EUR.TC: a numeric vector

Source

http://csg.sph.umich.edu//abecasis/public/lipids2013/

Details

These four GWAS Meta-analyzed data of lipoprotein cholesterols were downloaded from the following website.

References

Willer CJ et al. Discovery and refinement of loci associated with lipid levels. Nat. Genet. 2013. doi:10.1038/ng.2797.

Examples

Run this code

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

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