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:
rsidThe identification number for each variant
a1The reference allele for each variant
a2The other allele for each variant
chrThe chromosome number in which each variant is located
posThe genomic position for the genetic variant relative to chromosome number
ldlcbetaThe association estimate for the genetic variant obtained by regressing LDL-C upon the genetic variant
hdlcbetaThe association estimate obtained by regressing HDL-C upon the genetic variant
tgbetaThe association estimate obtained by regressing triglycerides upon the genetic variant
chdbetaThe association estimate for CHD obtained by regressing CHD upon the genetic variant
ldlcp2The p-value corresponding to association estimate
ldlcbetahdlcp2The p-value corresponding to association estimate
hdlcbetatgp2The p-value corresponding to association estimate
tgbetachdp2The p-value corresponding to association estimate
chdbetaldlczThe z-score corresponding to association estimate
ldlcbetaldlcseThe standard error corresponding to association estimate
ldlcbetahdlczThe z-score corresponding to association estimate
hdlcbetahdlcseThe standard error corresponding to association estimate
hdlcbetatgzThe z-score corresponding to association estimate
tgbetatgseThe standard error corresponding to association estimate
tgbetachdzThe z-score corresponding to association estimate
chdbetachdseThe 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