Meta-analysis of GWAS on PCSK9 concentrations
We performed GWAS for PCSK9 concentrations in two large cohorts (GCKD (n=4,963) and KORA F3 (n=2,895)). These were meta-analyzed with previously published data by Pott et al. (PMID: 34590679) encompassing together 20,579 individuals of White ancestry (7,780,391 SNPs). The main model was adjusted for age, sex, current smoking, statin treatment and principal components. We further conducted a second meta-analysis in statin-naïve individuals (n=15,390) (7,789,706 SNPs).
Short description of the columns included in the files:
Chromosome: chromosome numberPosition: chromosomal position of the SNPMarkerName: chromosome:positionAllele1: effect alleleAllele2: non effect alleleFreq1: frequency of allele 1FreqSE: frequency standard errorEffect: genetic effect of allele 1StdErr: standard error of effectp.value: p-valueDirection: direction of the genetic effect of allele 1 in GCKD, KORA F3 , and Pott et al.data, in this order. (+, increasing-effect; -, decreasing-effect and ?, not included in the study)HetISq: I square statisticHetChiSq: Q statisticHetDf: Qstat DFHetPVal: p-value for heterogeneityTotalN: number of samples
Downloads
| PCSK9 _meta-GWAS_ALL | |
|---|---|
| Samples: | 20,579 |
| Variants: | 7,780,391 |
| Phenotype: | PCSK9 concentrations |
| Covariates: | age, sex, current smoking, statin treatment and principal components |
| Downloads: |
All_filtered_MAF_2023-11-08.txt.gz |
| PCSK9_meta-GWAS_Nonstatins | |
|---|---|
| Samples: | 15,390 |
| Variants: | 7,789,706 |
| Phenotype: | PCSK9 concentrations |
| Covariates: | age, sex, current smoking and principal components |
| Downloads: |
Nonstatin_filtered_MAF_2023-11-08.txt.gz |
Citations
If you use this data, please cite:
Kheirkhah A, Schachtl-Riess JF, Lamina C, Di Maio S, Koller A, Schönherr S, Coassin S, Forer L, Sekula P, Gieger C, Peters A, Köttgen A, Eckardt KU, Kronenberg F: Meta-GWAS on PCSK9 concentrations reveals associations of novel loci outside the PCSK9 locus in White populations. Atherosclerosis 386:117384, 2023. PMID: 37989062 Journal Article