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GWAS summary statistics

Regensburger GEM Plattform

GWAS summary statistics

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Prof. Dr. Iris Heid, Dr. Thomas Winkler, Dr. Mathias Gorski, Kira Stanzick


Estimated glomerular filtration rate (Stanzick et al. 2021)

Here you can download summary statistics from our GWAS meta-analysis for kidney function traits including data from CKDGen and UK Biobank (Stanzick et al. NatComm 2021): 

The genome-wide association summary statistics for

The Gene PrioritiSation (GPS) table for the 424 identified eGFR loci:

Further details on the phenotype transformation or sample inclusions can be found in the paper (Stanzick et al. NatComm 2021). 

If you use this data, please cite: 

Stanzick, K. J., Li, Y., Schlosser, P., Gorski, M., Wuttke, M., Thomas, L. F., Rasheed, H., Rowan, B. X., Graham, S. E., Vanderweff, B. R., Patil, S. B., VA Million Veteran Program, Robinson-Cohen, C., Gaziano, J. M., O'Donnell, C. J., Willer, C. J., Hallan, S., Åsvold, B. O., Gessner, A., Hung, A. M., … Winkler, T. W. (2021). Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals. Nature communications12(1), 4350. https://doi.org/10.1038/s41467-021-24491-0​​​​​​​​​​​​​​ 

Please contact thomas.winkler@ukr.de if you have questions.


Rapid kidney function decline (Gorski et al. 2020)

Rapid kidney function decline - Summary Statistics

Download summary statistics: 

CKDGen_ckdi25_overall.txt.gz 

  - 19,901 cases and 175,244 controls

  - md5sum: 0baf7d8e7dccbf1a22bd2b945101e5f4

CKDGen_rapid3_overall.txt.gz 

  - 34,874 cases and 107,090 controls

  - md5sum: b1a0d8ebbdb37478dc70be04af3b2c84

If you use this data, please cite: 

Gorski M, et al. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline. Kidney Int. 2020 Oct 30:S0085-2538(20)31239-4. doi: 10.1016/j.kint.2020.09.030. Epub ahead of print. PMID: 33137338.

Format: 

Chr: Chromosome

Pos_b37: Base position (b37)

RSID: rs identifier

Allele1: Coded (effect) allele

Allele2: Noncoded allele

Freq1: Frequency of Allele1

OR: Odds ratio of allele1

StdErr: Standard error, 2nd GC corrected

P-value: Association P value, 2nd GC corrected

N_total_sum: Number of individuals in the analysis

Contact: 

mathias.gorski@ukr.de, iris.heid@ukr.de


Early AMD (Winkler et al. 2020)

Early AMD - Summary Statistics

This site provides a download link for the summary statistics from our genome-wide association meta-analysis for early AMD (14,034 early AMD cases; 91,214 controls). The meta-analysis included summary statistics from 11 sources, including data from the International AMD Genomics Consortium (IAMDGC) and the UK Biobank. An EasyQC cleaning script for the individual study GWAS results can be found at www.genepi-regensburg.de/easyqc

Download summary statistics: 

winkler_et_al_earlyamd_meta.gz

The data is also available from the GWAS catalogue.

If you use this data, please cite: 

Winkler, T.W., Grassmann, F., Brandl, C. et al. Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease. BMC Med Genomics 13, 120 (2020). https://doi.org/10.1186/s12920-020-00760-7

Format: 

rsid: rs identifier

chr: Chromosom

pos_b37: Base position (b37)

ea: Effect allele

oa: Other allele

eaf: Effect allele frequency

beta: Genetic effect (per ea)

se: Standard error of beta (single study-specific GC correction)

se_2gc: Standard error of beta (double GC correction)

p: Association P value (single study-specific GC correction)

p_2gc: Association P value (double GC correction) 

n_cases: Number of early AMD cases

n_ctrls: Number of controls

Contact: 

thomas.winkler@ukr.de, iris.heid@ukr.de



  1. Fakultät für Medizin

Lehrstuhl für Genetische Epidemiologie

Institut für Epidemiologie und Präventivmedizin

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Universitätsklinikum Regensburg
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