rs4142995

This variant is located in the SNX13 gene.

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GWAS Catalog Trait Associations (26)

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

level of folate receptor gamma in blood

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 0.04
p 9.0e-18
N 47,745
Large GWAS
European

high density lipoprotein cholesterol measurement

Spracklen CN et al. “Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels.” Human Molecular Genetics 26(9):1770-1784 (2017)
Allele T
OR 0.03
p 1.0e-16
N 222,097
Large GWAS
multi-ancestry
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.03
p 9.0e-12
N 136,016
Large GWAS
multi-ancestry
Hoffmann TJ et al. “A large electronic-health-record-based genome-wide study of serum lipids.” Nature Genetics 50(3):401-413 (2018)
Allele T
OR —
β 0.022
p 2.0e-10
N 94,674
Large GWAS
multi-ancestry
Willer CJ et al. “Discovery and refinement of loci associated with lipid levels.” Nature Genetics 45(11):1274-1283 (2013)
Allele T
OR —
β 0.026
p 9.0e-12
N 94,595
Large GWAS
European

triglycerides in very large VLDL measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.02
p 4.0e-16
N 450,015
Large GWAS
multi-ancestry

total lipids in very large VLDL measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.02
p 1.0e-14
N 450,015
Large GWAS
multi-ancestry

concentration of very large VLDL particles measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.02
p 2.0e-14
N 450,015
Large GWAS
multi-ancestry

phospholipids in large VLDL measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.02
p 3.0e-14
N 450,015
Large GWAS
multi-ancestry

triglyceride measurement

Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele T
OR 0.01
p 1.0e-13
N 1,320,016
Large GWAS
European

triglycerides in VLDL measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.01
p 3.0e-13
N 450,015
Large GWAS
multi-ancestry

concentration of large VLDL particles measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.01
p 2.0e-12
N 450,015
Large GWAS
multi-ancestry

triglycerides in large VLDL measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.01
p 2.0e-12
N 450,015
Large GWAS
multi-ancestry

About SNX13

This gene encodes a PHOX domain- and RGS domain-containing protein that belongs to the sorting nexin (SNX) family and the regulator of G protein signaling (RGS) family. The PHOX domain is a phosphoinositide binding domain, and the SNX family members are involved in intracellular trafficking. The RGS family members are regulatory molecules that act as GTPase activating proteins for G alpha subunits of heterotrimeric G proteins. The RGS domain of this protein interacts with G alpha(s), accelerates its GTP hydrolysis, and attenuates G alpha(s)-mediated signaling. Overexpression of this protein delayes lysosomal degradation of the epidermal growth factor receptor. Because of its bifunctional role, this protein may link heterotrimeric G protein signaling and vesicular trafficking. [provided by RefSeq, Jul 2008]

View all SNX13 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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