rs167479
▶GWAS Catalog Trait Associations (15)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (15)
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 T
OR 0.35
p 2.0e-102
N 1,028,980
Large GWAS
multi-ancestry
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele T
OR 0.03
p 4.0e-77
N 1,212,859
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 T
OR 0.04
p 4.0e-61
N 928,679
Large GWAS
multi-ancestry
Plotnikov D et al. “High Blood Pressure and Intraocular Pressure: A Mendelian Randomization Study.” Investigative Ophthalmology & Visual Science 63(6):29 (2022)
Allele T
OR 0.36
p 4.0e-52
N 526,001
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 2.0e-38
N 485,677
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 T
OR 0.02
p 2.0e-32
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 T
OR 0.25
p 4.0e-22
N 321,262
Large GWAS
multi-ancestry
Surendran P et al. “Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.” Nature Genetics 48(10):1151-1161 (2016)
Allele T
OR 0.31
p 3.0e-32
N 192,763
Large GWAS
multi-ancestry
Yang ML et al. “Sex-specific genetic architecture of blood pressure.” Nature Medicine 30(3):818-828 (2024)
Allele T
OR 0.03
p 5.0e-23
N 174,664
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele T
OR 0.30
p 4.0e-28
N 146,562
Meta-analysisLarge GWAS
multi-ancestry
Pozarickij A et al. “Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.” Nature Communications 15(1):6265 (2024)
Allele T
OR 0.50
p 1.0e-22
N 100,453
Large GWAS
East Asian
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 T
OR 0.49
p 6.0e-82
N 1,028,980
Large GWAS
multi-ancestry
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele T
OR 0.03
p 1.0e-64
N 1,212,859
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 T
OR 0.03
p 8.0e-66
N 928,679
Large GWAS
multi-ancestry
Plotnikov D et al. “High Blood Pressure and Intraocular Pressure: A Mendelian Randomization Study.” Investigative Ophthalmology & Visual Science 63(6):29 (2022)
Allele T
OR 0.53
p 8.0e-40
N 526,001
Large GWAS
European
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 T
OR 0.41
p 4.0e-36
N 459,777
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 T
OR 0.02
p 1.0e-35
N 394,642
Large GWAS
European
Yang ML et al. “Sex-specific genetic architecture of blood pressure.” Nature Medicine 30(3):818-828 (2024)
Allele T
OR 0.03
p 5.0e-33
N 349,328
Large GWAS
multi-ancestry
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 T
OR 0.41
p 2.0e-21
N 321,262
Large GWAS
multi-ancestry
Surendran P et al. “Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.” Nature Genetics 48(10):1151-1161 (2016)
Allele T
OR 0.47
p 9.0e-27
N 192,763
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele T
OR 0.45
p 1.0e-23
N 146,562
Meta-analysisLarge 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 T
OR 0.03
p 9.0e-18
N 145,505
Large GWAS
East Asian
Pozarickij A et al. “Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.” Nature Communications 15(1):6265 (2024)
Allele T
OR 0.77
p 4.0e-17
N 100,453
Large GWAS
East Asian
mean arterial pressure
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 4.0e-48
N 506,365
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele T
OR 0.30
p 7.0e-11
N 146,562
Meta-analysisLarge GWAS
multi-ancestry
Pozarickij A et al. “Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults.” Nature Communications 15(1):6265 (2024)
Allele T
OR 0.63
p 2.0e-23
N 100,453
Large GWAS
East Asian
hypertension
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 0.07
p 2.0e-42
N 394,626
Large GWAS
European
Surendran P et al. “Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.” Nature Genetics 48(10):1151-1161 (2016)
Allele T
OR 7.88
p 3.0e-15
N 183,273
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele T
OR 7.72
p 1.0e-14
N 146,562
Meta-analysisLarge GWAS
multi-ancestry
Kim YS et al. “Lifestage Sex-Specific Genetic Effects on Metabolic Disorders in an Adult Population in Korea: The Korean Genome and Epidemiology Study.” International Journal of Molecular Sciences 23(19) (2022)
Allele T
OR 0.90
p 2.0e-8
N 31,213
Large GWAS
East Asian
Jeong H et al. “Identifying Interactions between Dietary Sodium, Potassium, Sodium-Potassium Ratios, and FGF5 rs16998073 Variants and Their Associated Risk for Hypertension in Korean Adults.” Nutrients 12(7) (2020)
Allele T
OR 0.88
p 2.0e-8
N 17,736
Large GWAS
East Asian
Agents acting on the renin-angiotensin system use measurement
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 0.05
p 4.0e-28
N 416,256
Large GWAS
multi-ancestry
Wu Y et al. “Genome-wide association study of medication-use and associated disease in the UK Biobank.” Nature Communications 10(1):1891 (2019)
Allele T
OR 0.06
p 1.0e-24
N 237,530
Major Consortium StudyLarge 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 T
OR 0.17
p 4.0e-20
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 T
OR 0.02
p 8.0e-18
N 506,308
Large GWAS
multi-ancestry
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 T
OR 0.18
p 3.0e-8
N 321,262
Large GWAS
multi-ancestry
Calcium channel blocker use measurement
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 0.05
p 3.0e-17
N 383,104
Large GWAS
multi-ancestry
Wu Y et al. “Genome-wide association study of medication-use and associated disease in the UK Biobank.” Nature Communications 10(1):1891 (2019)
Allele T
OR 0.06
p 1.0e-15
N 204,378
Major Consortium StudyLarge GWAS
European
Beta blocking agent use measurement
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 0.05
p 2.0e-14
N 402,750
Large GWAS
multi-ancestry
Wu Y et al. “Genome-wide association study of medication-use and associated disease in the UK Biobank.” Nature Communications 10(1):1891 (2019)
Allele T
OR 0.06
p 5.0e-12
N 224,024
Major Consortium StudyLarge GWAS
European
hypothyroidism
White SL et al. “Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases.” Nature Genetics 58(2):307-316 (2026)
Allele G
OR 0.03
p 2.0e-13
N 1,786,062
Large GWAS
European
Rand SA et al. “Genome-wide association study and polygenic risk prediction of hypothyroidism.” Nature Genetics 57(12):3007-3015 (2025)
Allele G
OR 0.04
p 3.0e-13
N 1,178,661
Large GWAS
European
preeclampsia, hypertension, pregnancy-induced
Tyrmi JS et al. “Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy.” Jama Cardiology 8(7):674-683 (2023)
Allele T
OR 0.90
p 7.0e-13
N 130,207
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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