rs8096658

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GWAS Catalog Trait Associations (17)

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 0.04

p 3.0e-158

N 928,679

Large GWAS

multi-ancestry

Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)

Allele C

OR 0.04

p 1.0e-17

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 C

OR 0.03

p 3.0e-14

N 110,051

Large GWAS

European

Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)

Allele C

OR 0.03

p 7.0e-12

N 84,405

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 G

OR 25.03

p 3.0e-138

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 G

OR 0.01

p 3.0e-102

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 G

OR 0.01

p 7.0e-81

N 765,348

Large GWAS

multi-ancestry

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 14.05

p 8.0e-45

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 0.70

p 2.0e-28

N 312,296

Large 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 G

OR 7.71

p 1.0e-14

N 145,732

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 G

OR 0.04

p 2.0e-13

N 110,850

Major Consortium StudyLarge GWAS

African American or Afro-Caribbean

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 G

OR 0.52

p 1.0e-8

N 91,729

Major Consortium StudyLarge GWAS

multi-ancestry

Mahajan A et al. “Trans-ethnic Fine Mapping Highlights Kidney-Function Genes Linked to Salt Sensitivity.” American Journal of Human Genetics 99(3):636-646 (2016)

Allele G

OR 0.81

p 1.0e-8

N 71,638

Large GWAS

multi-ancestry

blood urea nitrogen amount

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 G

OR 0.01

p 1.0e-32

N 852,680

Large GWAS

European

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 G

OR 0.01

p 2.0e-17

N 416,178

Large GWAS

European, NR

osteoarthritis, hip

Hatzikotoulas K et al. “Translational genomics of osteoarthritis in 1,962,069 individuals.” Nature 641(8065):1217-1224 (2025)

Allele C

OR 0.95

p 5.0e-17

N 1,152,707

Large GWAS

multi-ancestry

atrial fibrillation

Yuan S et al. “Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.” Nature Communications 16(1):6426 (2025)

Allele C

OR 0.03

p 6.0e-17

N 2,584,013

Large GWAS

multi-ancestry

Miyazawa K et al. “Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.” Nature Genetics 55(2):187-197 (2023)

Allele C

OR 0.04

p 3.0e-9

N 2,339,188

Large GWAS

multi-ancestry

osteoarthritis, hip, total hip arthroplasty

Hatzikotoulas K et al. “Translational genomics of osteoarthritis in 1,962,069 individuals.” Nature 641(8065):1217-1224 (2025)

Allele C

OR 0.94

p 1.0e-15

N 1,031,046

Large GWAS

multi-ancestry

osteoarthritis, hip, osteoarthritis, knee, total joint arthroplasty

Hatzikotoulas K et al. “Translational genomics of osteoarthritis in 1,962,069 individuals.” Nature 641(8065):1217-1224 (2025)

Allele C

OR 0.95

p 4.0e-15

N 866,417

Large GWAS

multi-ancestry

level of carbonic anhydrase 14 in blood

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 2.0e-13

N 47,745

Large GWAS

European

serum alanine aminotransferase amount

Allele C

OR 0.01

p 2.0e-13

N 928,679

Large GWAS

multi-ancestry

osteoarthritis

Hatzikotoulas K et al. “Translational genomics of osteoarthritis in 1,962,069 individuals.” Nature 641(8065):1217-1224 (2025)

Allele C

OR 0.98

p 6.0e-13

N 1,962,069

Large GWAS

multi-ancestry

This variant is in our database but has no known associations or PRS memberships yet.

rs8096658

GWAS Catalog Trait Associations (17)

serum creatinine amount

glomerular filtration rate

blood urea nitrogen amount

osteoarthritis, hip

atrial fibrillation

osteoarthritis, hip, total hip arthroplasty

osteoarthritis, hip, osteoarthritis, knee, total joint arthroplasty

level of carbonic anhydrase 14 in blood

serum alanine aminotransferase amount

osteoarthritis

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