A dataset containing summary data GWAS data for 185 independent SNPs with respect to lipid fractions and coronary heart disease (CHD), previously published in Do et al (2013). Lipid fractions include low-density lipoprotein (LDL-C),high-density lipoprotein (HDL-C), and triglycerides, with association estimates obtained from the Global Lipids Genetics Consortium (GLGC) (Willer et al, 2013). Summary data for CHD was obtained from the CARDIoGRAM study (Schunkert et al, 2011). Association estimates were obtained by regressing each phenotype upon the genetic variant and additional adjusted covariates, with links to further information related to each study presented below.
Format
A data frame with 185 rows and 21 variables. Specifically this includes the following information:
rsid
The identification number for each variant
a1
The reference allele for each variant
a2
The other allele for each variant
chr
The chromosome number in which each variant is located
pos
The genomic position for the genetic variant relative to chromosome number
ldlcbeta
The association estimate for the genetic variant obtained by regressing LDL-C upon the genetic variant
hdlcbeta
The association estimate obtained by regressing HDL-C upon the genetic variant
tgbeta
The association estimate obtained by regressing triglycerides upon the genetic variant
chdbeta
The association estimate for CHD obtained by regressing CHD upon the genetic variant
ldlcp2
The p-value corresponding to association estimate
ldlcbeta
hdlcp2
The p-value corresponding to association estimate
hdlcbeta
tgp2
The p-value corresponding to association estimate
tgbeta
chdp2
The p-value corresponding to association estimate
chdbeta
ldlcz
The z-score corresponding to association estimate
ldlcbeta
ldlcse
The standard error corresponding to association estimate
ldlcbeta
hdlcz
The z-score corresponding to association estimate
hdlcbeta
hdlcse
The standard error corresponding to association estimate
hdlcbeta
tgz
The z-score corresponding to association estimate
tgbeta
tgse
The standard error corresponding to association estimate
tgbeta
chdz
The z-score corresponding to association estimate
chdbeta
chdse
The standard error corresponding to association estimate
chdbeta
Examples
head(data_radial)
#> rsid a1 a2 chr pos ldlcbeta hdlcbeta tgbeta chdbeta ldlcp2
#> 1 rs10903129 A G 1 25641524 -0.033 -0.0009 -0.0080 -0.0120 4.0e-19
#> 2 rs4660293 A G 1 39800767 -0.011 0.0350 -0.0200 -0.0110 1.4e-02
#> 3 rs1998013 T C 1 55730618 -0.380 0.0350 0.0089 -0.1500 4.0e-67
#> 4 rs10493326 A G 1 62725961 0.021 -0.0013 0.0310 -0.0087 6.0e-07
#> 5 rs4587594 A G 1 62906518 -0.049 -0.0150 -0.0690 0.0170 3.0e-37
#> 6 rs6603981 T C 1 92766395 0.034 0.0039 0.0072 0.0120 2.0e-14
#> hdlcp2 tgp2 chdp2 ldlcz ldlcse hdlcz hdlcse tgz
#> 1 7.9e-01 1.7e-02 0.38 8.936966 0.003692528 0.2663106 0.003379512 2.3867077
#> 2 7.0e-19 1.0e-07 0.48 2.457263 0.004476525 8.8748941 0.003943709 5.3267239
#> 3 7.7e-02 6.6e-01 0.12 17.309336 0.021953470 1.7683644 0.019792300 0.4399132
#> 4 7.4e-01 1.0e-15 0.65 4.991217 0.004207391 0.3318533 0.003917393 8.0268589
#> 5 5.0e-05 3.0e-87 0.26 12.752994 0.003842235 4.0556270 0.003698565 19.7996112
#> 6 3.5e-01 7.6e-02 0.48 7.650628 0.004444080 0.9345893 0.004172956 1.7743819
#> tgse chdz chdse
#> 1 0.003351898 0.8778963 0.01366904
#> 2 0.003754653 0.7063026 0.01557406
#> 3 0.020231265 1.5547736 0.09647707
#> 4 0.003862034 0.4537622 0.01917304
#> 5 0.003484917 1.1263911 0.01509245
#> 6 0.004057751 0.7063026 0.01698989