rs151234
▶GWAS Catalog Trait Associations (22)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (22)
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 C
OR 0.06
p 3.0e-139
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 C
OR 0.08
p 5.0e-44
N 476,837
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 C
OR 0.06
p 1.0e-110
N 460,935
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-73
N 408,112
Large GWAS
European
platelet 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 C
OR 0.10
p 5.0e-136
N 928,679
Large 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 C
OR —
p 2.0e-111
N 721,201
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 C
OR 0.06
p 1.0e-72
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 C
OR 0.07
p 1.0e-63
N 407,168
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 C
OR 0.06
p 4.0e-118
N 394,642
Large GWAS
European
platelet crit
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 0.04
p 1.0e-42
N 394,642
Large GWAS
European
immature platelet measurement
Akbari P et al. “A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology.” Nature Communications 14(1):5023 (2023)
Allele C
OR 0.13
p 6.0e-33
N 36,829
Large GWAS
European
immature platelet count
Akbari P et al. “A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology.” Nature Communications 14(1):5023 (2023)
Allele C
OR 0.10
p 2.0e-20
N 36,618
Large GWAS
European
thrombopoietin 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 8.0e-18
N 47,745
Large GWAS
European
angiopoietin-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 C
OR 0.07
p 2.0e-16
N 47,745
Large GWAS
European
CD226 antigen 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 7.0e-16
N 47,745
Large GWAS
European
platelet component distribution width
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 0.02
p 4.0e-15
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 C
OR 0.03
p 1.0e-10
N 164,433
Large GWAS
European
level of platelet basic 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 C
OR 0.06
p 3.0e-14
N 47,745
Large GWAS
European
▶Research that mentions this SNP (1)
▶Meta-genome-wide association studies identify a locus on chromosome 1 and multiple variants in the MHC region for serum C-peptide in type 1 diabetesMeta-analysisN=3,479Delnaz Roshandel et al.(2018)· Diabetologia
Meta-genome-wide association studies identify a locus on chromosome 1 and multiple variants in the MHC region for serum C-peptide in type 1 diabetes
Meta-analysisN=3,479Delnaz Roshandel et al.(2018)· Diabetologia
Meta-genome-wide association study of 3,479 European participants with type 1 diabetes identified a locus on chromosome 1 (rs559047, p=4.13×10⁻⁸) and multiple variants in the MHC region (rs61211515, rs9260151, rs3135002) associated with C-peptide levels as a measure of beta cell function. These associations partly differ from known type 1 diabetes risk loci, suggesting distinct mechanisms for disease development versus progression.
Traits studied:Beta cell functionC-peptide levelsType 1 diabetes
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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