rs34651
▶GWAS Catalog Trait Associations (14)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (14)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
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 T
OR 0.04
p 3.0e-60
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 T
OR 0.04
p 2.0e-36
N 542,827
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 T
OR 0.04
p 9.0e-22
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 T
OR 0.05
p 1.0e-16
N 406,601
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 T
OR 0.04
p 5.0e-34
N 394,642
Large GWAS
European
Kachuri L et al. “Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia.” American Journal of Human Genetics 108(10):1823-1835 (2021)
Allele T
OR —
p 9.0e-18
N 235,256
Large GWAS
European
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.03
p 3.0e-11
N 148,623
Large GWAS
East Asian
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 T
OR 0.05
p 9.0e-54
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 T
OR 0.05
p 7.0e-51
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 T
OR 0.05
p 3.0e-28
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 T
OR 0.10
p 3.0e-53
N 335,593
Major Consortium StudyLarge 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 T
OR 0.06
p 4.0e-16
N 164,454
Large GWAS
European
hemoglobin measurement
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 T
OR 0.03
p 2.0e-47
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 T
OR 0.04
p 4.0e-28
N 563,946
Large GWAS
European
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.02
p 3.0e-18
N 502,921
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 T
OR 0.03
p 2.0e-17
N 408,112
Large GWAS
European
hematocrit
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 T
OR 0.02
p 2.0e-18
N 928,679
Large GWAS
multi-ancestry
erythrocyte 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 T
OR 0.02
p 5.0e-16
N 928,679
Large GWAS
multi-ancestry
mean corpuscular hemoglobin
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.03
p 6.0e-15
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 T
OR 0.02
p 2.0e-12
N 394,642
Large GWAS
European
glutamine measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.03
p 5.0e-12
N 450,015
Large GWAS
multi-ancestry
peak expiratory flow
Shrine N et al. “Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk.” Nature Genetics 55(3):410-422 (2023)
Allele T
OR 6.17
p 7.0e-10
N 406,020
Large GWAS
multi-ancestry
chronic obstructive pulmonary disease
Sakornsakolpat P et al. “Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations.” Nature Genetics 51(3):494-505 (2019)
Allele C
OR 1.11
p 3.0e-8
N 257,811
Large GWAS
European, East Asian, African American or Afro-Caribbean, Hispanic or Latin American, NR
atrial fibrillation
Yuan S et al. “Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.” Nature Communications 16(1):6426 (2025)
Allele T
OR 0.06
p 6.0e-18
N 1,840,341
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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