rs6993770

This is a regulatory region variant variant in the ZFPM2 gene.

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GWAS Catalog Trait Associations (364)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

tumor necrosis factor receptor superfamily member EDAR amount

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.20
p 8.0e-266
N 47,745
Large GWAS
European
Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele T
OR 0.30
p 8.0e-102
N 10,708
Large GWAS
European
Sun BB et al. “Genomic atlas of the human plasma proteome.” Nature 558(7708):73-79 (2018)
Allele T
OR 0.19
p 2.0e-12
N 3,301
Large GWAS
European

cystatin-F measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.12
p 1.0e-180
N 47,745
Large GWAS
European

angiopoietin-1 measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.17
p 1.0e-174
N 47,745
Large GWAS
European
Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele T
OR 0.13
p 3.0e-20
N 10,708
Large GWAS
European
Sun BB et al. “Genomic atlas of the human plasma proteome.” Nature 558(7708):73-79 (2018)
Allele T
OR —
β 0.230
p 1.0e-17
N 3,301
Large GWAS
European

dickkopf‐related protein 1 measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.16
p 6.0e-173
N 47,745
Large GWAS
European
Gudjonsson A et al. “A genome-wide association study of serum proteins reveals shared loci with common diseases.” Nature Communications 13(1):480 (2022)
Allele T
OR 0.19
p 4.0e-17
N 5,352
Large GWAS
European
Folkersen L et al. “Mapping of 79 loci for 83 plasma protein biomarkers in cardiovascular disease.” Plos Genetics 13(4):e1006706 (2017)
Allele T
OR 0.17
p 7.0e-14
N 3,394
Large GWAS
European
Sun BB et al. “Genomic atlas of the human plasma proteome.” Nature 558(7708):73-79 (2018)
Allele T
OR —
β 0.260
p 8.0e-22
N 3,301
Large GWAS
European

platelet glycoprotein 4 level

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.16
p 1.0e-172
N 47,745
Large GWAS
European

cochlin measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.16
p 1.0e-164
N 47,745
Large GWAS
European
Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele T
OR 0.23
p 1.0e-58
N 10,708
Large GWAS
European
Sun BB et al. “Genomic atlas of the human plasma proteome.” Nature 558(7708):73-79 (2018)
Allele T
OR —
β 0.300
p 4.0e-29
N 3,301
Large GWAS
European

platelet component distribution width

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.06
p 4.0e-162
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.06
p 5.0e-122
N 408,112
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele T
OR 0.06
p 2.0e-52
N 164,433
Large GWAS
European

level of beta-crystallin B1 in blood serum

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.17
p 1.0e-158
N 47,745
Large GWAS
European

platelet-derived growth factor subunit A measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.16
p 9.0e-155
N 47,745
Large GWAS
European
Sun BB et al. “Genomic atlas of the human plasma proteome.” Nature 558(7708):73-79 (2018)
Allele T
OR —
β 0.220
p 2.0e-15
N 3,301
Large GWAS
European

sortilin measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.15
p 2.0e-152
N 47,745
Large GWAS
European
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Research that mentions this SNP (1)

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Genetic variants in five novel loci including CFB and CD40 predispose to chronic hepatitis B
AssociationN=6,033Jiang DK et al.(2015)· Hepatology

A genome-wide association study of 83 plasma proteins relevant to cardiovascular disease in 3,394 European subjects identified 79 genome-wide significant loci (p<5e-8), with 55 replicating in independent cohorts (n=2,639). Using eQTL analysis and network methods, the authors proposed plausible causal mechanisms for 25 trans-acting loci including post-translational regulation of KITLG by MMP9 and several receptor-ligand pairs. Multiple loci showed evidence of causal association with coronary artery disease risk.

Traits studied:AtherosclerosisCoronary artery diseasePlaque rupturePlasma protein levels (83 cardiovascular disease-related proteins)Thrombosis
PubMedDOIMetascience Observatory

About ZFPM2

The zinc finger protein encoded by this gene is a widely expressed member of the FOG family of transcription factors. The family members modulate the activity of GATA family proteins, which are important regulators of hematopoiesis and cardiogenesis in mammals. It has been demonstrated that the protein can both activate and down-regulate expression of GATA-target genes, suggesting different modulation in different promoter contexts. A related mRNA suggests an alternatively spliced product but this information is not yet fully supported by the sequence. [provided by RefSeq, Jul 2008]

View all ZFPM2 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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