rs77303550

This is a intron variant variant.

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GWAS Catalog Trait Associations (60)

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

glycoprotein measurement

Yuan F et al. “Blood metabolic biomarkers and colorectal cancer risk: results from large prospective cohort and Mendelian randomisation analyses.” British Journal of Cancer 133(1):94-103 (2025)
Allele T
OR 0.16
p —
N 199,732
Large GWAS
European
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.12
p 4.0e-119
N 128,809
Large GWAS
multi-ancestry
Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)
Allele T
OR 0.16
p 5.0e-221
N 115,082
Large GWAS
European
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele T
OR 0.17
p 8.0e-178
N 88,329
Large GWAS
European
Kettunen J et al. “Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA.” Nature Communications 7:11122 (2016)
Allele T
OR 0.15
p 4.0e-30
N 19,270
Large GWAS
European

haptoglobin measurement

Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele T
OR 0.79
p —
N 10,708
Large GWAS
European

heparin cofactor 2 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 0.25
p 2.0e-306
N 47,745
Large GWAS
European

blood protein amount

Emilsson V et al. “Co-regulatory networks of human serum proteins link genetics to disease.” Science (new York, N.y.) 361(6404):769-773 (2018)
Allele C
OR 0.88
p 8.0e-184
N 3,200
Large GWAS
European
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.05
p 2.0e-14
N 47,745
Large GWAS
European

SPARC-like protein 1 measurement

Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele T
OR 0.27
p 4.0e-60
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 0.210
p 1.0e-11
N 3,301
Large GWAS
European

non-high density lipoprotein cholesterol 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 0.09
p 2.0e-55
N 146,492
Large GWAS
East Asian
Jacobs BM et al. “Genetic architecture of routinely acquired blood tests in a British South Asian cohort.” Nature Communications 15(1):8929 (2024)
Allele T
OR 0.10
p 5.0e-12
N 38,000
Large GWAS
South Asian

low density lipoprotein cholesterol measurement, free cholesterol:total lipids ratio

Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.07
p 2.0e-47
N 136,016
Large GWAS
multi-ancestry

level of hemicentin-2 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 0.09
p 3.0e-44
N 47,745
Large GWAS
European

cholesteryl esters:total lipids ratio, blood VLDL cholesterol amount

Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.07
p 2.0e-42
N 136,016
Large GWAS
multi-ancestry

cholesterol:total lipids ratio, blood VLDL cholesterol amount

Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.06
p 1.0e-37
N 136,016
Large GWAS
multi-ancestry

This variant is in our database but has no known associations or PRS memberships yet.

Gene information from NCBI Gene. Variant classifications from ClinVar.

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