rs1858800

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GWAS Catalog Trait Associations (5)

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

calcium 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 4.0e-38
N 394,642
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 3.0e-28
N 399,133
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 5.0e-14
N 355,606
Major Consortium StudyLarge GWAS
multi-ancestry
Young WJ et al. “Genetically Determined Serum Calcium Levels and Markers of Ventricular Repolarization: A Mendelian Randomization Study in the UK Biobank.” Circulation. Genomic and Precision Medicine 14(3):e003231 (2021)
Allele T
OR 0.00
p 5.0e-33
N 305,349
Major Consortium StudyLarge 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 9.90
p 4.0e-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 1.0e-19
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 5.0e-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 0.01
p 1.0e-10
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 1.0e-15
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 5.63
p 2.0e-8
N 350,514
Meta-analysisLarge GWAS
multi-ancestry

hypospadias

Geller F et al. “Genome-wide association analyses identify variants in developmental genes associated with hypospadias.” Nature Genetics 46(9):957-63 (2014)
Allele T
OR 1.36
p 1.0e-18
N 6,492
Large GWAS
European

serum creatinine amount

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 3.0e-17
N 494,370
Large GWAS
multi-ancestry
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 0.01
p 3.0e-16
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 T
OR 0.01
p 1.0e-11
N 450,015
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 5.0e-16
N 421,910
Major Consortium StudyLarge GWAS
European

prostate carcinoma

Wang A et al. “Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.” Nature Genetics 55(12):2065-2074 (2023)
Allele C
OR 1.03
p 3.0e-9
N 944,762
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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