rs28930677
▶GWAS Catalog Trait Associations (10)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (10)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
cystatin C measurement
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.07
p 1.0e-39
N 355,752
Major Consortium StudyLarge GWAS
multi-ancestry
hemoglobin measurement
Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele T
OR 0.04
p 1.0e-21
N 563,946
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 0.04
p 3.0e-14
N 928,679
Large GWAS
multi-ancestry
Oskarsson GR et al. “Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.” Communications Biology 3(1):189 (2020)
Allele T
OR —
β 0.038
p 1.0e-12
N 684,122
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 T
OR 0.03
p 5.0e-9
N 502,921
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.04
p 6.0e-17
N 408,112
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 T
OR 0.03
p 9.0e-13
N 394,642
Large GWAS
European
serum creatinine 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 0.03
p 4.0e-21
N 394,642
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 T
OR 0.05
p 2.0e-17
N 355,731
Major Consortium StudyLarge GWAS
multi-ancestry
body height
Yengo L et al. “A saturated map of common genetic variants associated with human height.” Nature 610(7933):704-712 (2022)
Allele T
OR 0.01
p 2.0e-18
N 5,314,291
Large GWAS
European, Hispanic or Latin American, East Asian, African unspecified, South Asian
erythrocyte count
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 0.04
p 5.0e-16
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 0.03
p 2.0e-11
N 503,987
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.04
p 1.0e-15
N 408,112
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 T
OR 0.03
p 9.0e-13
N 394,642
Large GWAS
European
glomerular filtration rate
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.05
p 1.0e-15
N 355,731
Major Consortium StudyLarge GWAS
multi-ancestry
citrate 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 0.04
p 3.0e-15
N 450,015
Large GWAS
multi-ancestry
serum urea amount
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.04
p 3.0e-14
N 355,637
Major Consortium StudyLarge 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 0.03
p 6.0e-14
N 394,642
Large GWAS
European
hematocrit
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 0.04
p 5.0e-16
N 928,679
Large GWAS
multi-ancestry
Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele T
OR —
p 2.0e-18
N 737,823
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 0.03
p 2.0e-10
N 503,490
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.04
p 1.0e-15
N 408,112
Large GWAS
European
red blood cell density
Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele T
OR —
p 1.0e-18
N 727,624
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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