rs2337106
▶GWAS Catalog Trait Associations (8)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (8)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
serum creatinine amount
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 0.01
p 6.0e-33
N 928,679
Large GWAS
multi-ancestry
hematocrit
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 G
OR 0.02
p 1.0e-25
N 562,259
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele G
OR 0.02
p 5.0e-21
N 408,112
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele G
OR 0.02
p 2.0e-10
N 173,039
Large GWAS
European
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 G
OR 0.01
p 4.0e-17
N 394,642
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 G
OR —
p 3.0e-16
N 727,624
Large GWAS
multi-ancestry
erythrocyte count
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 1.0e-15
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele G
OR 0.02
p 1.0e-13
N 408,112
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele G
OR 0.02
p 4.0e-9
N 172,952
Large GWAS
European
proto-oncogene tyrosine-protein kinase receptor Ret 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 0.04
p 3.0e-14
N 47,745
Large GWAS
European
glomerular filtration rate
Graham SE et al. “Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.” Nature Communications 10(1):1847 (2019)
Allele G
OR 5.84
p 5.0e-9
N 350,514
Meta-analysisLarge GWAS
multi-ancestry
Morris AP et al. “Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies.” Nature Communications 10(1):29 (2019)
Allele G
OR 0.45
p 6.0e-9
N 312,296
Large 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 G
OR —
p 7.0e-25
N 746,431
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 G
OR 0.02
p 2.0e-20
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 G
OR 0.02
p 9.0e-21
N 394,642
Large GWAS
European
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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