rs80282103

▶

GWAS Catalog Trait Associations (10)

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

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 21.66
p 5.0e-104
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 0.01
p 8.0e-67
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 0.01
p 3.0e-68
N 765,348
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 0.06
p 9.0e-39
N 571,227
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 —
β 0.056
p 2.0e-51
N 406,504
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 10.10
p 6.0e-24
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 T
OR 0.61
p 2.0e-18
N 312,296
Large GWAS
multi-ancestry
Hellwege JN et al. “Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program.” Nature Communications 10(1):3842 (2019)
Allele T
OR 0.01
p 3.0e-37
N 280,722
Major Consortium StudyLarge GWAS
multi-ancestry
Hughes O et al. “Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas.” Cell Genomics 4(1):100468 (2024)
Allele T
OR 6.89
p 6.0e-12
N 145,732
Large GWAS
multi-ancestry

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 A
OR 0.05
p 3.0e-100
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 A
OR 0.06
p 2.0e-44
N 602,615
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 A
OR 0.04
p 1.0e-51
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 A
OR 0.04
p 2.0e-41
N 450,015
Large GWAS
multi-ancestry
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele A
OR 0.05
p 4.0e-13
N 136,016
Large GWAS
multi-ancestry

stanniocalcin-1 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 0.10
p 6.0e-23
N 47,745
Large GWAS
European

blood urea nitrogen 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 0.03
p 2.0e-17
N 492,819
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 0.01
p 2.0e-14
N 852,680
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 0.03
p 3.0e-13
N 418,647
Major Consortium StudyLarge GWAS
European

serum urea 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 3.0e-16
N 394,642
Large GWAS
European

blood sodium bicarbonate amount

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 A
OR 0.03
p 2.0e-13
N 585,421
Major Consortium StudyLarge GWAS
multi-ancestry

high density lipoprotein cholesterol measurement

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 A
OR 0.04
p 3.0e-13
N 404,121
Major Consortium StudyLarge GWAS
European

serum creatinine amount, glomerular filtration rate

Gorski M et al. “1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.” Scientific Reports 7:45040 (2017)
Allele A
OR 0.01
p 1.0e-11
N 110,517
Meta-analysisLarge GWAS
European

chronic kidney disease

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 1.10
p 1.0e-10
N 625,219
Large GWAS
European, NR

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 0.02
p 1.0e-10
N 545,203
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.

Community Wiki

No community notes yet for this variant. Sign in to start one.

Comments

Sign in to join the discussion.

Loading comments…