rs7704653
▶GWAS Catalog Trait Associations (18)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (18)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
glycine measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.03
p 8.0e-44
N 450,015
Large GWAS
multi-ancestry
Abar L et al. “Unravelling genetic architecture of circulatory amino acid levels, and their effect on risk of complex disorders.” Nar Genomics and Bioinformatics 6(2):lqae046 (2024)
Allele G
OR 0.03
p 4.0e-12
N 117,944
Large GWAS
European
Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)
Allele G
OR 0.03
p 4.0e-12
N 114,978
Large GWAS
European
urate measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele G
OR 0.01
p 2.0e-13
N 394,642
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 G
OR 0.02
p 1.0e-12
N 450,015
Large GWAS
multi-ancestry
triglyceride measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele G
OR 0.01
p 3.0e-12
N 394,642
Large GWAS
European
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele G
OR 0.01
p 3.0e-8
N 455,659
Large GWAS
multi-ancestry
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.01
p 2.0e-10
N 450,015
Large GWAS
multi-ancestry
Richardson TG et al. “Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis.” Plos Medicine 17(3):e1003062 (2020)
Allele G
OR 0.02
p 4.0e-12
N 441,016
Large GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele G
OR 0.02
p 4.0e-10
N 355,577
Major Consortium StudyLarge GWAS
multi-ancestry
triglycerides to phosphoglycerides ratio
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.01
p 7.0e-12
N 450,015
Large GWAS
multi-ancestry
phospholipids in chylomicrons and extremely 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 G
OR 0.01
p 1.0e-11
N 450,015
Large GWAS
multi-ancestry
concentration of chylomicrons and extremely 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 G
OR 0.01
p 2.0e-11
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 G
OR 0.01
p 3.0e-11
N 450,015
Large GWAS
multi-ancestry
free cholesterol in chylomicrons and extremely 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 G
OR 0.01
p 3.0e-11
N 450,015
Large GWAS
multi-ancestry
free cholesterol to total lipids in medium LDL percentage
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.01
p 4.0e-11
N 450,015
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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