rs2823139
▶GWAS Catalog Trait Associations (17)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (17)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
hematocrit
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 A
OR 0.03
p 2.0e-53
N 562,259
Large GWAS
European
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 A
OR 0.02
p 4.0e-46
N 928,679
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 A
OR 0.03
p 4.0e-37
N 408,112
Large GWAS
European
hemoglobin measurement
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 A
OR —
p 1.0e-52
N 746,431
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 A
OR 0.03
p 1.0e-37
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 A
OR 0.02
p 4.0e-40
N 394,642
Large GWAS
European
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 A
OR 0.02
p 1.0e-13
N 153,950
Large GWAS
East Asian
high 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 A
OR 0.02
p 3.0e-40
N 394,642
Large GWAS
European
red blood cell density
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 A
OR 0.02
p 2.0e-34
N 545,203
Large GWAS
European
erythrocyte count
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 1.0e-24
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 A
OR 0.02
p 6.0e-14
N 581,827
Major Consortium StudyLarge 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 A
OR 0.02
p 2.0e-22
N 408,112
Large GWAS
European
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 A
OR 0.01
p 5.0e-9
N 153,950
Large GWAS
East Asian
serum urea amount
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 2.0e-20
N 394,642
Large GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele A
OR 0.02
p 2.0e-14
N 355,637
Major Consortium StudyLarge GWAS
multi-ancestry
systolic blood pressure
Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele A
OR 0.23
p 1.0e-18
N 1,028,980
Large GWAS
multi-ancestry
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 A
OR 0.01
p 2.0e-11
N 928,679
Large GWAS
multi-ancestry
Giri A et al. “Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.” Nature Genetics 51(1):51-62 (2019)
Allele A
OR 0.25
p 9.0e-12
N 459,777
Large GWAS
multi-ancestry
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 A
OR 0.02
p 3.0e-13
N 425,740
Major Consortium StudyLarge GWAS
European
uromodulin measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.03
p 6.0e-18
N 47,745
Large GWAS
European
potassium measurement
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 0.02
p 2.0e-17
N 421,297
Major Consortium StudyLarge GWAS
European
urate measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.01
p 2.0e-15
N 394,642
Large GWAS
European
Cho C et al. “Large-scale cross-ancestry genome-wide meta-analysis of serum urate.” Nature Communications 15(1):3441 (2024)
Allele A
OR 0.02
p 1.0e-10
N 1,029,323
Meta-analysisLarge GWAS
multi-ancestry
Major TJ et al. “A genome-wide association analysis reveals new pathogenic pathways in gout.” Nature Genetics 56(11):2392-2406 (2024)
Allele A
OR 0.01
p 8.0e-10
N 630,117
Large GWAS
European
Gill D et al. “Urate, Blood Pressure, and Cardiovascular Disease: Evidence From Mendelian Randomization and Meta-Analysis of Clinical Trials.” Hypertension (dallas, Tex. : 1979) 77(2):383-392 (2021)
Allele A
OR 0.01
p 7.0e-13
N 454,183
Meta-analysisLarge GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele A
OR 0.02
p 5.0e-13
N 355,426
Major Consortium StudyLarge GWAS
multi-ancestry
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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