rs61744929
▶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.
amount of sushi domain-containing protein 1 (human) 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 0.38
p 2.0e-72
N 47,745
Large GWAS
European
neutrophil count
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 C
OR 0.06
p 3.0e-17
N 519,288
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.05
p 8.0e-11
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 C
OR 0.05
p 7.0e-12
N 394,642
Large GWAS
European
placenta growth factor 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 0.14
p 7.0e-16
N 47,745
Large GWAS
European
reticulocyte count
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 9.0e-15
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.06
p 1.0e-11
N 408,112
Large GWAS
European
mean corpuscular hemoglobin concentration
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 C
OR 0.05
p 8.0e-13
N 491,553
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.05
p 5.0e-11
N 408,112
Large GWAS
European
lymphocyte percentage of leukocytes
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 1.0e-12
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.06
p 5.0e-12
N 408,112
Large GWAS
European
reticulocyte 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 0.05
p 2.0e-12
N 394,642
Large GWAS
European
monocyte count
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.06
p 1.0e-11
N 408,112
Large GWAS
European
hemoglobin measurement
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele C
OR 0.05
p 3.0e-10
N 408,112
Large GWAS
European
Oskarsson GR et al. “Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.” Communications Biology 3(1):189 (2020)
Allele C
OR —
β 0.047
p 2.0e-8
N 684,122
Large GWAS
European
body composition measurement
Wu Z et al. “Genetic architecture of bone marrow fat fraction implies its involvement in osteoporosis risk.” Nature Communications 16(1):7490 (2025)
Allele C
OR 0.16
p 4.0e-10
N 39,144
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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