rs9378249

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GWAS Catalog Trait Associations (5)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

platelet volume

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 0.12
p 2.0e-258
N 394,642
Large GWAS
European
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 G
OR 0.12
p 6.0e-196
N 460,935
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 G
OR 0.11
p 1.0e-53
N 164,454
Large GWAS
European

eosinophil 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 G
OR 0.07
p 4.0e-85
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 G
OR 0.09
p 7.0e-35
N 172,378
Large GWAS
European

platelet-derived growth factor subunit A 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 3.0e-18
N 47,745
Large GWAS
European

level of amyloid-beta precursor protein 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 0.10
p 9.0e-18
N 47,745
Large GWAS
European
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Research that mentions this SNP (1)

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Propensity score‐based nonparametric test revealing genetic variants underlying bipolar disorder
MethodsN=5,002Yuan Jiang et al.(2011)· Genetic Epidemiology

This methods paper presents a propensity score-based nonparametric test for genetic association that adjusts for covariates using genomic propensity scores. Applied to 1,998 bipolar disorder cases and 3,004 controls from the Wellcome Trust Case Control Consortium, the method identified three SNPs on chromosome 16 (rs2387823, rs1344485, rs11647459; p < 5×10⁻⁷) in strong linkage disequilibrium near RPGRIP1L that were missed by standard unadjusted methods, demonstrating that covariate-adjusted approaches can reveal genetic variants underlying bipolar disorder.

Traits studied:Bipolar disorderSchizophrenia
PubMedDOIMetascience Observatory

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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