rs77924615

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GWAS Catalog Trait Associations (63)

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 A

OR 39.93

p —

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 A

OR 0.00

p 3.0e-56

N 1,004,040

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 A

OR 0.01

p 3.0e-259

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 A

OR 0.12

p 1.0e-252

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 A

OR —

β 0.069

p 2.0e-156

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 A

OR 21.76

p 5.0e-105

N 350,514

Meta-analysisLarge 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 A

OR 0.01

p 1.0e-99

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 A

OR 7.15

p 9.0e-13

N 145,732

Large GWAS

multi-ancestry

Robinson-Cohen C et al. “Genome-Wide Association Study of CKD Progression.” Journal of the American Society of Nephrology : Jasn 34(9):1547-1559 (2023)

Allele A

OR 0.30

p 5.0e-27

N 116,960

Large 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 A

OR 1.30

p 2.0e-9

N 71,638

Large GWAS

multi-ancestry

Lee DJ et al. “Genome-wide association study and fine-mapping on Korean biobank to discover renal trait-associated variants.” Kidney Research and Clinical Practice 43(3):299-312 (2024)

Allele A

OR 0.51

p 4.0e-8

N 58,406

Large GWAS

East Asian

uromodulin measurement

Li Y et al. “Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases.” Jci Insight 7(10) (2022)

Allele A

OR 0.76

p —

N 13,985

Large GWAS

multi-ancestry

serum creatinine 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 G

OR 0.13

p 5.0e-277

N 602,615

Major Consortium StudyLarge 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 G

OR 0.05

p 4.0e-224

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 G

OR 0.06

p 4.0e-204

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 G

OR 0.05

p 3.0e-126

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 G

OR 0.06

p 1.0e-202

N 394,642

Large GWAS

European

Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)

Allele G

OR 0.05

p 5.0e-32

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 G

OR 0.05

p 7.0e-25

N 84,405

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 G

OR 0.06

p 2.0e-16

N 69,591

Meta-analysisLarge GWAS

European

chronic kidney disease

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 0.22

p 3.0e-107

N 437,875

Major Consortium StudyLarge 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 G

OR 0.16

p 4.0e-19

N 659,320

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 1.23

p 7.0e-86

N 625,219

Large GWAS

European, NR

nephrolithiasis

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 0.20

p 2.0e-94

N 435,154

Major Consortium StudyLarge GWAS

European

Cao X et al. “Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease.” Nature Communications 16(1):3473 (2025)

Allele G

OR 1.12

p 6.0e-27

N 975,370

Large GWAS

multi-ancestry

Lovegrove CE et al. “Central Adiposity Increases Risk of Kidney Stone Disease through Effects on Serum Calcium Concentrations.” Journal of the American Society of Nephrology : Jasn 34(12):1991-2011 (2023)

Allele G

OR 1.16

p 6.0e-14

N 397,323

Large GWAS

European

Howles SA et al. “Genetic variants of calcium and vitamin D metabolism in kidney stone disease.” Nature Communications 10(1):5175 (2019)

Allele G

OR 1.13

p 2.0e-8

N 395,044

Large GWAS

European

bladder calculus

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 0.18

p 5.0e-93

N 433,456

Major Consortium StudyLarge GWAS

European

kidney injury molecule 1 amount

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele A

OR 0.09

p 8.0e-67

N 47,745

Large GWAS

European

diastolic blood pressure

Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)

Allele A

OR 0.03

p 1.0e-41

N 1,212,859

Large GWAS

European

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)

Allele A

OR 0.26

p 2.0e-39

N 1,028,980

Large GWAS

multi-ancestry

Allele A

OR 0.02

p 2.0e-14

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 A

OR 0.02

p 1.0e-13

N 485,677

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 A

OR 0.02

p 1.0e-14

N 394,642

Large 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 0.02

p 5.0e-40

N 110,517

Meta-analysisLarge GWAS

European

protein measurement

Folkersen L et al. “Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.” Nature Metabolism 2(10):1135-1148 (2020)

Allele A

OR 0.14

p 2.0e-35

N 21,758

Large GWAS

European

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

rs77924615

GWAS Catalog Trait Associations (63)

glomerular filtration rate

uromodulin measurement

serum creatinine amount

chronic kidney disease

nephrolithiasis

bladder calculus

kidney injury molecule 1 amount

diastolic blood pressure

serum creatinine amount, glomerular filtration rate

protein measurement

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