rs3795503

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GWAS Catalog Trait Associations (16)

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 0.02
p 1.0e-32
N 928,679
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 0.02
p 4.0e-12
N 601,544
Major Consortium StudyLarge 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 0.01
p 4.0e-18
N 494,370
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 T
OR 0.01
p 9.0e-13
N 450,015
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-20
N 394,642
Large GWAS
European

monocyte count

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 C
OR 0.04
p 4.0e-24
N 259,608
Major Consortium StudyLarge GWAS
European
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 C
OR 0.02
p 2.0e-20
N 521,594
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 0.01
p 6.0e-11
N 444,975
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 C
OR 0.02
p 7.0e-14
N 408,112
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 9.96
p 2.0e-23
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 0.00
p 6.0e-21
N 1,201,930
Large GWAS
multi-ancestry
Wuttke M et al. “A catalog of genetic loci associated with kidney function from analyses of a million individuals.” Nature Genetics 51(6):957-972 (2019)
Allele T
OR 0.00
p 9.0e-14
N 567,460
Large GWAS
European
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 —
β 0.017
p 1.0e-14
N 406,504
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 0.02
p 2.0e-18
N 398,886
Major Consortium StudyLarge 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 7.17
p 8.0e-13
N 350,514
Meta-analysisLarge GWAS
multi-ancestry

platelet 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 0.02
p 6.0e-23
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-10
N 721,201
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 0.03
p 2.0e-16
N 406,601
Major Consortium StudyLarge GWAS
European

appendicular lean mass

Pei YF et al. “The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.” Communications Biology 3(1):608 (2020)
Allele T
OR 0.02
p 2.0e-18
N 450,243
Major Consortium StudyLarge GWAS
European

cerebral cortex area attribute

Shadrin AA et al. “Vertex-wise multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology.” Neuroimage 244:118603 (2021)
Allele T
OR —
p 1.0e-17
N 35,657
Large GWAS
European
van der Meer D et al. “The genetic architecture of human cortical folding.” Science Advances 7(51):eabj9446 (2021)
Allele T
OR 8.14
p 4.0e-16
N 33,748
Large GWAS
European

alkaline phosphatase measurement

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 2.0e-16
N 463,178
Large GWAS
multi-ancestry
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 6.45
p 1.0e-10
N 390,964
Large GWAS
multi-ancestry

lean body mass

Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele T
OR 0.01
p 8.0e-12
N 337,739
Large GWAS
European

brain connectivity attribute

Sha Z et al. “Genetic architecture of the white matter connectome of the human brain.” Science Advances 9(7):eadd2870 (2023)
Allele C
OR 6.69
p 2.0e-11
N 30,810
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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