rs535777
▶GWAS Catalog Trait Associations (12)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (12)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
mean reticulocyte volume
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.06
p 4.0e-98
N 394,642
Large GWAS
European
level of folate receptor beta 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 C
OR 0.11
p 6.0e-54
N 47,745
Large GWAS
European
ephrin type-A receptor 2 amount
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.09
p 5.0e-33
N 47,745
Large GWAS
European
ribonuclease K6 measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.08
p 6.0e-27
N 47,745
Large GWAS
European
cathepsin Z measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.08
p 7.0e-23
N 47,745
Large GWAS
European
level of tenascin-N 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 C
OR 0.05
p 2.0e-22
N 47,745
Large GWAS
European
lithostathine-1-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 C
OR 0.07
p 2.0e-21
N 47,745
Large GWAS
European
n-acetylglucosamine-1-phosphodiester alpha-N-acetylglucosaminidase measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.07
p 1.0e-20
N 47,745
Large GWAS
European
layilin measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.07
p 2.0e-18
N 47,745
Large GWAS
European
cancer
Rashkin SR et al. “Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts.” Nature Communications 11(1):4423 (2020)
Allele G
OR —
p 4.0e-12
N 475,312
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.
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