rs740516
▶GWAS Catalog Trait Associations (48)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (48)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
multiple epidermal growth factor-like domains protein 10 measurement
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 0.20
p 4.0e-209
N 47,745
Large GWAS
European
galanin peptides measurement
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 0.17
p 1.0e-153
N 47,745
Large GWAS
European
dickkopf-like protein 1 measurement
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 0.05
p 2.0e-97
N 47,745
Large GWAS
European
prolyl endopeptidase FAP measurement
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 0.14
p 1.0e-73
N 47,745
Large GWAS
European
C-C motif chemokine 22 measurement
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 0.13
p 2.0e-63
N 47,745
Large GWAS
European
C-C motif chemokine 27 measurement
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 0.11
p 2.0e-49
N 47,745
Large GWAS
European
sPARC-related modular calcium-binding protein 1 measurement
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 0.10
p 1.0e-41
N 47,745
Large GWAS
European
amount of pro-neuropeptide Y (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 G
OR 0.09
p 2.0e-38
N 47,745
Large GWAS
European
protein measurement
Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele C
OR 0.23
p 1.0e-36
N 10,708
Large GWAS
European
low 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 G
OR 0.03
p 2.0e-31
N 394,642
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 G
OR 0.03
p 4.0e-19
N 578,955
Major Consortium StudyLarge GWAS
multi-ancestry
Kim YJ et al. “The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians.” Nature Communications 13(1):6642 (2022)
Allele G
OR 0.03
p 1.0e-22
N 288,127
Large GWAS
East Asian
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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