rs111653425

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GWAS Catalog Trait Associations (6)

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 T
OR 0.23
p 5.0e-128
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 0.16
p 2.0e-78
N 494,370
Large GWAS
multi-ancestry
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.21
p 2.0e-35
N 421,910
Major Consortium StudyLarge 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 0.15
p 2.0e-100
N 394,642
Large GWAS
European
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.15
p 1.0e-9
N 136,016
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 0.14
p 1.0e-18
N 110,051
Large GWAS
European
Graham SE et al. “Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.” Nature Communications 10(1):1847 (2019)
Allele T
OR 0.13
p 1.0e-8
N 69,591
Meta-analysisLarge GWAS
European

metabolite measurement

Surendran P et al. “Rare and common genetic determinants of metabolic individuality and their effects on human health.” Nature Medicine 28(11):2321-2332 (2022)
Allele T
OR 0.57
p 6.0e-32
N 14,296
Large GWAS
European

N-acetylarginine measurement

Surendran P et al. “Rare and common genetic determinants of metabolic individuality and their effects on human health.” Nature Medicine 28(11):2321-2332 (2022)
Allele T
OR 0.38
p 1.0e-14
N 14,296
Large GWAS
European

carnitine measurement

Lotta LA et al. “A cross-platform approach identifies genetic regulators of human metabolism and health.” Nature Genetics 53(1):54-64 (2021)
Allele T
OR 6.33
p 2.0e-10
N 31,001
Large GWAS
European

glomerular filtration rate

Liu H et al. “Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.” Nature Genetics 54(7):950-962 (2022)
Allele T
OR 18.91
p 1.0e-79
N 1,508,659
Large GWAS
multi-ancestry
Stanzick KJ et al. “Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals.” Nature Communications 12(1):4350 (2021)
Allele T
OR 0.02
p 2.0e-67
N 1,004,040
Large GWAS
European
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.19
p 1.0e-20
N 571,234
Major Consortium StudyLarge GWAS
multi-ancestry
Loeb GB et al. “Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function.” Nature Genetics 56(10):2078-2092 (2024)
Allele T
OR 0.13
p 3.0e-41
N 406,504
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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