rs11621792

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GWAS Catalog Trait Associations (65)

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

alkaline phosphatase 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 0.03
p 5.0e-52
N 394,642
Large GWAS
European
Chen VL et al. “Genome-wide association study of serum liver enzymes implicates diverse metabolic and liver pathology.” Nature Communications 12(1):816 (2021)
Allele T
OR 11.20
p 2.0e-29
N 390,964
Large GWAS
multi-ancestry

low density lipoprotein cholesterol measurement

Klimentidis YC et al. “Phenotypic and Genetic Characterization of Lower LDL Cholesterol and Increased Type 2 Diabetes Risk in the UK Biobank.” Diabetes 69(10):2194-2205 (2020)
Allele C
OR 0.03
p 5.0e-43
N 431,167
Major Consortium StudyLarge GWAS
European
Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele C
OR 0.02
p 1.0e-40
N 1,320,016
Large GWAS
European
Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)
Allele C
OR 0.02
p 8.0e-30
N 928,679
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 C
OR 0.02
p 2.0e-13
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 C
OR 0.02
p 1.0e-19
N 440,546
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 C
OR 0.02
p 2.0e-15
N 416,487
Large GWAS
multi-ancestry
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 0.02
p 6.0e-18
N 394,642
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 C
OR 0.03
p 2.0e-10
N 115,082
Large GWAS
European
Hoffmann TJ et al. “A large electronic-health-record-based genome-wide study of serum lipids.” Nature Genetics 50(3):401-413 (2018)
Allele C
OR —
β 0.033
p 6.0e-12
N 94,674
Large GWAS
multi-ancestry
Surakka I et al. “The impact of low-frequency and rare variants on lipid levels.” Nature Genetics 47(6):589-97 (2015)
Allele C
OR 0.04
p 2.0e-8
N 62,166
Large GWAS
European

total 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 0.02
p 1.0e-37
N 1,320,016
Large GWAS
European
Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)
Allele T
OR 0.02
p 2.0e-29
N 928,679
Large GWAS
multi-ancestry
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.02
p 7.0e-15
N 480,086
Large GWAS
multi-ancestry
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 0.02
p 1.0e-17
N 394,642
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 T
OR 0.02
p 1.0e-9
N 115,082
Large GWAS
European
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 0.030
p 2.0e-10
N 94,674
Large GWAS
multi-ancestry
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 0.05
p 7.0e-10
N 38,000
Large GWAS
South Asian

Xaa-Pro aminopeptidase 2 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 0.07
p 5.0e-35
N 47,745
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 0.02
p 2.0e-29
N 1,320,016
Large GWAS
European
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-11
N 450,015
Large GWAS
multi-ancestry

histidine 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-26
N 450,015
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 0.03
p 5.0e-11
N 114,897
Large GWAS
European

cholesterol in small HDL 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-25
N 450,015
Large GWAS
multi-ancestry

concentration of small HDL 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-25
N 450,015
Large GWAS
multi-ancestry

cholesteryl esters in small HDL 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-24
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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