Genome-wide association study of blood pressure and hypertension
Open accessAbstract
Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10−7. The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10−8) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.
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Two genome-wide association studies have identified the CYP17A1 locus as a gene associated with hypertension.
“Two genome-wide association studies have identified the CYP17A1 locus as a gene associated with hypertension (274,275).”
From The Molecular Biology, Biochemistry, and Physiology of Human Steroidogenesis and Its Disorders (2011) · cites this paper as [275]
The Results (page unavailable) identify CYP17A1 as genome-wide significant for systolic blood pressure, but list only ATP2B1 as genome-wide significant for hypertension. The Discussion (page unavailable) also describes CYP17A1 as associated with a rare Mendelian form of hypertension. Thus this GWAS supports a blood-pressure association, but not the claim that it identified CYP17A1 through a significant association with hypertension itself. (LLM, conf=0.87)
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- Authors
- Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., Aulchenko, Y., Lumley, T., Köttgen, A., Vasan, R. S., Rivadeneira, F., Eiriksdottir, G., Guo, X., Arking, D. E., Mitchell, G. F., Mattace-Raso, F. U. S., Smith, A. V., Taylor, K., Scharpf, R. B., Hwang, S.-J., Sijbrands, E. J. G., Bis, J., Harris, T. B., Ganesh, S. K., O'Donnell, C. J., Hofman, A., Rotter, J. I., Coresh, J., Benjamin, E. J., Uitterlinden, A. G., Heiss, G., Fox, C. S., Witteman, J. C. M., Boerwinkle, E., Wang, T. J., Gudnason, V., Larson, M. G., Chakravarti, A., Psaty, B. M., & van Duijn, C. M.
- Affiliations
- Framingham Heart Study (US)
- Johns Hopkins University (US)
- University of Washington (US)
- Erasmus MC (NL)
- National Institutes of Health (US)
- The University of Texas Health Science Center at Houston (US)
- National Heart, Lung, and Blood Institute (US)
- University of Iceland (IS)
- Boston University (US)
- Cedars-Sinai Medical Center (US)
- Icelandic Heart Association (IS)
- Harvard University (US)
- Group Health Cooperative (US)
- Corresponding author
- Levy, Daniel
- ORCID
- Levy, Daniel
- Ehret, Georg B
- Rice, Kenneth
- Launer, Lenore J
- Dehghan, Abbas
- Glazer, Nicole L
- Morrison, Alanna C
- Johnson, Andrew D
- Aspelund, Thor
- Aulchenko, Yurii
- Köttgen, Anna
- Vasan, Ramachandran S
- Rivadeneira, Fernando
- Guo, Xiuqing
- Arking, Dan E
- Mitchell, Gary F
- Mattace-Raso, Francesco U S
- Smith, Albert V
- Taylor, Kent
- Scharpf, Robert B
- Hwang, Shih-Jen
- Sijbrands, Eric J G
- Bis, Joshua
- Harris, Tamara B
- Ganesh, Santhi K
- Rotter, Jerome I
- Coresh, Josef
- Benjamin, Emelia J
- Uitterlinden, André G
- Heiss, Gerardo
- Fox, Caroline S
- Boerwinkle, Eric
- Wang, Thomas J
- Gudnason, Vilmundur
- Larson, Martin G
- Chakravarti, Aravinda
- Psaty, Bruce M
- Venue
- Nature Genetics
- Published
- 2009-05-10
- Volume
- 41
- Issue
- 6
- Pages
- 677-687
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC2998712
- OpenAlex
- W2001629081
- Semantic Scholar
- 6fdc08f8708718ee3edc03d2ab8cec5a60dabb3a
- Cited by
- 1,364
- References
- 49
- Citations by year
- 2026: 25 · 2025: 25 · 2024: 37 · 2023: 47 · 2022: 45 · 2021: 62 · 2020: 46 · 2019: 59 · 2018: 85 · 2017: 104 · 2016: 109 · 2015: 88 · 2014: 104 · 2013: 109 · 2012: 141
- Type
- dissertation
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (911-03-012, 175.010.200)
- National Institutes of Health (n01hc085082-026, n01hc085081-021, n01hc045133-001, n01ag12100-57-0-2, n01hc085079-024, n01hc015103-009, n01hc085084-005, n01hc55021-47-0-1, n01hc085085-011, n01hc085083-027, n01hc55020-39-0-0, n01hc085080-026, n01hc55016-37-0-0, n01hc055022-024, n01hc085086-022, n01hc55019-35-0-1, n01hc55018-38-0-1, n01hc25195-41-0-1, n01hc55222-0-0-0, n02hl64278-6-0-0, n01hc075150-004, n01hc035129-010, n01hc55015-48-0-1)
- U.S. Public Health Service (HHSN 268200625226C)
- National Institute on Aging (N01-AG012100)
- National Heart, Lung, and Blood Institute (N01-HC-85081, N01HC85085, N01-HC55022, N01 HC085086, N01HC-85083, N01 HC055016, N01-HC-55018, N01 HC 55020, N01 HC085079, N01‐HC25195, N01 HC 55019, N01HC85082, N01HC‐75150, N01 HC85086, R01 HL-59367, R01HL087652, N01 HC055020, N01 HC035129, N02 HL064278, N01HC85080, N02- HL-64278, N01 HC055018, N01 HC015103, N01 HC55222, N01-HC-025195, U10HL054512, N01-HC55016, R01HL087641, N01 HC055022, R01HL059367, U01HL080295, N01 HC055019, N01 HC055222, N01‐HC‐55015, N01-HC55021, N01 HC075150, N01 HC055021, R37HL051021, N01 HC055015, N01 HC045133, R01HL086694, N01-HC85079, N01-HC85084)
- National Human Genome Research Institute (U01HG004402)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK063491)
- National Center for Research Resources (UL1RR025005)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- blood pressure, hypertension, systolic blood pressure, diastolic blood pressure, genetic loci, single nucleotide polymorphisms, CHARGE consortium, risk score, ATP2B1, CYP17A1, PLEKHA7, SH2B3, CACNB2, ULK4, blood pressure regulation, therapeutic target
- MeSH terms
- Blood Pressure, Cell Line, Chromosome Mapping, Chromosomes, Human, Diastole, Gene Expression Regulation, Humans, Hypertension, Liver, Lymphocytes, Phenotype, Systole, Meta-Analysis as Topic, Prevalence, Odds Ratio, Risk Assessment, Genome-Wide Association Study, Genetic Association Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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What counts as a claim ›How we measure confidence ›How we check this ›
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