rs62435145

▶

GWAS Catalog Trait Associations (15)

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 26.76
p 1.0e-157
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 3.0e-127
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 5.0e-91
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 0.05
p 3.0e-74
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 0.045
p 2.0e-86
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 13.75
p 5.0e-43
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 0.59
p 2.0e-39
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 T
OR 7.57
p 4.0e-14
N 145,732
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 0.64
p 2.0e-11
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 T
OR 1.09
p 5.0e-15
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 T
OR 0.50
p 4.0e-12
N 58,406
Large GWAS
East Asian

hemoglobin measurement

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 0.03
p 3.0e-124
N 928,679
Large GWAS
multi-ancestry
Oskarsson GR et al. “Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.” Communications Biology 3(1):189 (2020)
Allele T
OR —
β 0.032
p 4.0e-40
N 684,122
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 6.0e-17
N 584,680
Major Consortium StudyLarge 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 0.04
p 9.0e-63
N 563,946
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 1.0e-49
N 502,921
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 T
OR 0.04
p 4.0e-50
N 408,112
Large GWAS
European
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-45
N 394,642
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele T
OR 0.03
p 7.0e-14
N 172,925
Large GWAS
European

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 T
OR 0.01
p 2.0e-109
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 0.06
p 3.0e-94
N 599,920
Major Consortium StudyLarge 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 T
OR 0.01
p 2.0e-17
N 58,406
Large GWAS
East Asian

hematocrit

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 9.0e-89
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 1.0e-17
N 584,647
Major Consortium StudyLarge 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 0.04
p 7.0e-68
N 562,259
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 4.0e-50
N 503,490
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 T
OR 0.04
p 1.0e-54
N 408,112
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele T
OR 0.03
p 7.0e-16
N 173,039
Large GWAS
European

erythrocyte 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 5.0e-77
N 928,679
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 T
OR 0.04
p 3.0e-48
N 408,112
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-23
N 405,366
Major Consortium StudyLarge GWAS
European
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 3.0e-39
N 394,642
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele T
OR 0.03
p 6.0e-16
N 172,952
Large GWAS
European

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 —
p 5.0e-73
N 727,624
Large GWAS
multi-ancestry

urate 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 2.0e-66
N 394,642
Large GWAS
European
Tin A et al. “Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.” Nature Genetics 51(10):1459-1474 (2019)
Allele T
OR 0.04
p 7.0e-12
N 346,213
Large GWAS
European, South Asian, East Asian, African American or Afro-Caribbean, Hispanic or Latin American

high density lipoprotein cholesterol 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 0.02
p 7.0e-46
N 394,642
Large GWAS
European

regenerating islet-derived protein 3-alpha 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 0.04
p 2.0e-12
N 47,745
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…