rs11021221
▶GWAS Catalog Trait Associations (10)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (10)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
diastolic 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 0.18
p 7.0e-20
N 1,028,980
Large GWAS
multi-ancestry
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-14
N 394,642
Large GWAS
European
Hoffmann TJ et al. “Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.” Nature Genetics 49(1):54-64 (2017)
Allele A
OR 0.21
p 3.0e-11
N 321,262
Large GWAS
multi-ancestry
Red cell distribution width
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-16
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 2.0e-14
N 394,642
Large GWAS
European
pulse pressure measurement
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 0.19
p 1.0e-15
N 1,028,980
Large GWAS
multi-ancestry
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele A
OR 0.01
p 1.0e-8
N 506,308
Large GWAS
multi-ancestry
cup-to-disc ratio measurement
Alipanahi B et al. “Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.” American Journal of Human Genetics 108(7):1217-1230 (2021)
Allele T
OR 0.01
p 4.0e-15
N 65,680
Large GWAS
European
Craig JE et al. “Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression.” Nature Genetics 52(2):160-166 (2020)
Allele T
OR 0.01
p 3.0e-8
N 67,040
Large GWAS
European
spontaneous coronary artery dissection
Adlam D et al. “Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation.” Nature Genetics 55(6):964-972 (2023)
Allele A
OR 1.47
p 4.0e-15
N 11,209
Meta-analysisLarge GWAS
European
endothelial cell-specific molecule 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 A
OR 0.05
p 9.0e-14
N 47,745
Large GWAS
European
keratoconus
Hardcastle AJ et al. “A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus.” Communications Biology 4(1):266 (2021)
Allele A
OR 0.20
p 1.0e-9
N 26,742
Large GWAS
multi-ancestry
diastolic blood pressure change 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 T
OR 0.03
p 4.0e-11
N 609,486
Major Consortium StudyLarge GWAS
multi-ancestry
reticulocyte amount
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 2.0e-21
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 0.03
p 7.0e-32
N 394,642
Large GWAS
European
reticulocyte count
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-19
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 0.03
p 2.0e-30
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 A
OR 0.03
p 4.0e-10
N 170,641
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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