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Trans-ethnic association study of blood pressure determinants in over 750,000 individuals
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Most blood pressure GWAS studies have been conducted in European ancestry samples, and relatively fewer in East Asian samples.
“Furthermore, most BP GWAS studies have been conducted in European ancestry samples, and relatively fewer have been conducted in East Asian samples [31].”
From Genetic variation in CCDC93 is associated with elevated central systolic blood pressure, impaired arterial relaxation, and mitochondrial dysfunction (2024) · cites this paper as [31]
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A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citationLD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Self-citationRobust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609
Global Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015
Forouzanfar, M. H., Liu, P., Roth, G. A., Ng, M., Biryukov, S., Marczak, L., Alexander, L., Estep, K., Hassen Abate, K., Akinyemiju, T. F., et al. (2017) · JAMA · doi:10.1001/jama.2016.19043 · Cited by 2,381
Rapsomaniki, E., Timmis, A., George, J., Pujades-Rodriguez, M., Shah, A. D., Denaxas, S., White, I. R., Caulfield, M. J., Deanfield, J. E., Smeeth, L., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60685-1 · Cited by 1,643
Self-citationPheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
Denny, J. C., Ritchie, M. D., Basford, M. A., Pulley, J. M., Bastarache, L., Brown-Gentry, K., Wang, D., Masys, D. R., Roden, D. M., & Crawford, D. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq126 · Cited by 1,219
Self-citationBiological interpretation of genome-wide association studies using predicted gene functions
Pers, T. H., Karjalainen, J. M., Chan, Y., Westra, H.-J., Wood, A. R., Yang, J., Lui, J. C., Vedantam, S., Gustafsson, S., Esko, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms6890 · Cited by 787
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Self-citationSmith, M., Murphy, D., Laxmisan, A., Sittig, D., Reis, B., Esquivel, A., & Singh, H. (2013) · Applied Clinical Informatics · doi:10.4338/aci-2013-04-ra-0019 · Cited by 31
Flagged first, then by citations
Research works printed but not linked: 87
- Lawes, C. M. M., Vander Hoorn, S. & Rodgers, A. International Society of Hypertension. Global burden of blood-pressure-related disease, 2001. Lancet 371, 1513–1518 (2008). · DOI
- Lewington, S. et al. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 360, 1903–1913 (2002). · DOI · Paper page
- Muntner, P. et al. Potential U.S. population impact of the 2017 ACC/AHA high blood pressure guideline. J. Am. Coll. Cardiol. 71, 109–118 (2018). · DOI · Paper page
- International Consortium for Blood Pressure Genome-Wide Association Studies et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478, 103–109 (2011). · DOI · Paper page
- Levy, D. et al. Genome-wide association study of blood pressure and hypertension. Nat. Genet. 41, 677–687 (2009). · DOI · Paper page
- Newton-Cheh, C. et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat. Genet. 41, 666–676 (2009). · DOI · Paper page
- Franceschini, N. et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am. J. Hum. Genet. 93, 545–554 (2013). · DOI
- Liang, J. et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genet. 13, e1006728 (2017). · DOI
- Li, C. et al. Genome-wide association study meta-analysis of long-term average blood pressure in East Asians. Circ. Cardiovasc. Genet. 10, e001527 (2017).
- Warren, H. R. et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat. Genet. 49, 403–415 (2017). · DOI
- Sofer, T. et al. Genome-wide association study of blood pressure traits by Hispanic/Latino background: the Hispanic Community Health Study/Study of Latinos. Sci. Rep. 7, 10348 (2017). · DOI
- Adeyemo, A. et al. A genome-wide association study of hypertension and blood pressure in African Americans. PLoS Genet. 5, e1000564 (2009). · DOI
- Parmar, P. G. et al. International genome-wide association study consortium identifies novel loci associated with blood pressure in children and adolescents. Circ. Cardiovasc. Genet. 9, 266–278 (2016). · DOI
- Lu, X. et al. Genome-wide association study in Chinese identifies novel loci for blood pressure and hypertension. Hum. Mol. Genet. 24, 865–874 (2015). · DOI
- He, J. et al. Genome-wide association study identifies 8 novel loci associated with blood pressure responses to interventions in Han Chinese. Circ. Cardiovasc. Genet. 6, 598–607 (2013). · DOI
- Kato, N. et al. Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians. Nat. Genet. 43, 531–538 (2011). · DOI
- Kato, N. et al. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat. Genet. 47, 1282–1293 (2015). · DOI
- Kelly, T. N. et al. Genome-wide association study meta-analysis reveals transethnic replication of mean arterial and pulse pressure loci. Hypertension 62, 853–859 (2013). · DOI · Paper page
- Wain, L. V. et al. Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat. Genet. 43, 1005–1011 (2011). · DOI
- Kraja, A. T. et al. New blood pressure-associated loci identified in meta-analyses of 475,000 individuals. Circ. Cardiovasc. Genet. 10, e001778 (2017). · DOI
- Surendran, P. et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151–1161 (2016). · DOI · Paper page
- Liu, C. et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat. Genet. 48, 1162–1170 (2016). · DOI
- Wain, L. V. et al. Novel blood pressure locus and gene discovery using genome-wide association study and expression data sets from blood and the kidney. Hypertension 70, e4–e19 (2017). · DOI
- Ehret, G. B. et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat. Genet. 48, 1171–1184 (2016). · DOI
- Hoffmann, T. J. et al. Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation. Nat. Genet. 49, 54–64 (2017). · DOI
- Lee, D. et al. A method to predict the impact of regulatory variants from DNA sequence. Nat. Genet. 47, 955–961 (2015). · DOI
- Finucane, H. K. et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat. Genet. 47, 1228–1235 (2015). · DOI · Paper page
- Barbeira, A. N. et al. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. Nat. Commun. 9, 1825 (2018). · DOI · Paper page
- Gamazon, E. R. et al. A gene-based association method for mapping traits using reference transcriptome data. Nat. Genet. 47, 1091–1098 (2015). · DOI
- Gusev, A. et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat. Genet. 48, 245–252 (2016). · DOI · Paper page
- Zhu, Z. et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat. Genet. 48, 481–487 (2016). · DOI · Paper page
- International Consortium for Blood Pressure Genome-Wide Association Studies et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478, 103–109 (2011). · DOI · Paper page
- Ko, Y.-A. et al. Genetic-variation-driven gene-expression changes highlight genes with important functions for kidney disease. Am. J. Hum. Genet. 100, 940–953 (2017). · DOI
- Uhlén, M. et al. Tissue-based map of the human proteome. Science 347, 1260419 (2015). · DOI · Paper page
- Gamazon, E. R. et al. Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation. Nat. Genet. 50, 956–967 (2018). · DOI · Paper page
- Matsuki, K., Hathaway, C. K., Lawrence, M. G., Smithies, O. & Kakoki, M. The role of transforming growth factor β1 in the regulation of blood pressure. Curr. Hypertens. Rev. 10, 223–238 (2014). · DOI
- Lavoie, P. et al. Neutralization of transforming growth factor-beta attenuates hypertension and prevents renal injury in uremic rats. J. Hypertens. 23, 1895–1903 (2005). · DOI
- Dubois, C. M., Laprise, M. H., Blanchette, F., Gentry, L. E. & Leduc, R. Processing of transforming growth factor beta 1 precursor by human furin convertase. J. Biol. Chem. 270, 10618–10624 (1995). · DOI
- Li, N. et al. Associations between genetic variations in the FURIN gene and hypertension. BMC Med. Genet. 11, 124 (2010). · DOI
- Ruschitzka, F. et al. Differential blood pressure effects of ibuprofen, naproxen, and celecoxib in patients with arthritis: the PRECISION-ABPM (Prospective Randomized Evaluation of Celecoxib Integrated Safety Versus Ibuprofen or Naproxen Ambulatory Blood Pressure Measurement) Trial. Eur. Heart J. 38, 3282–3292 (2017). · DOI · Paper page
- Rippe, C. et al. Hypertension reduces soluble guanylyl cyclase expression in the mouse aorta via the Notch signaling pathway. Sci. Rep. 7, 1334 (2017). · DOI
- Bauersachs, J. et al. Vasodilator dysfunction in aged spontaneously hypertensive rats: changes in NO synthase III and soluble guanylyl cyclase expression, and in superoxide anion production. Cardiovasc. Res. 37, 772–779 (1998). · DOI
- Ruetten, H., Zabel, U., Linz, W. & Schmidt, H. H. Downregulation of soluble guanylyl cyclase in young and aging spontaneously hypertensive rats. Circ. Res. 85, 534–541 (1999). · DOI
- Protogerou, A. D. et al. Longitudinal changes in mean and pulse pressure, and all-cause mortality: data from 71,629 untreated normotensive individuals. Am. J. Hypertens. 30, 1093–1099 (2017). · DOI
- Yasuno, S. et al. Is pulse pressure a predictor of new-onset diabetes in high-risk hypertensive patients? Diabetes Care 33, 1122–1127 (2010). · DOI
- Said, M. A., Eppinga, R. N., Lipsic, E., Verweij, N. & van der Harst, P. Relationship of arterial stiffness index and pulse pressure with cardiovascular disease and mortality. J. Am. Heart Assoc. 7, e007621 (2018). · DOI
- Prenner, S. B. & Chirinos, J. A. Arterial stiffness in diabetes mellitus. Atherosclerosis 238, 370–379 (2015). · DOI
- Xu, M. et al. Diabetes and risk of arterial stiffness: a Mendelian randomization analysis. Diabetes 65, 1731–1740 (2016). · DOI
- Bhosale, S. D. et al. Serum proteomic profiling to identify biomarkers of premature carotid atherosclerosis. Sci. Rep. 8, 9209 (2018). · DOI
- Lee, J. H. et al. Association between CDH13 variants and cardiometabolic and vascular phenotypes in a Korean population. Yonsei. Med. J. 54, 1305–1312 (2013). · DOI
- Reschen, M. E., Lin, D., Chalisey, A., Soilleux, E. J. & O’Callaghan, C. A. Genetic and environmental risk factors for atherosclerosis regulate transcription of phosphatase and actin regulating gene PHACTR1. Atherosclerosis 250, 95–105 (2016). · DOI
- Jarray, R. et al. Disruption of phactr-1 pathway triggers pro-inflammatory and pro-atherogenic factors: new insights in atherosclerosis development. Biochimie 118, 151–161 (2015). · DOI
- Williams, C., Kingwell, B. A., Burke, K., McPherson, J. & Dart, A. M. Folic acid supplementation for 3 wk reduces pulse pressure and large artery stiffness independent of MTHFR genotype. Am. J. Clin. Nutr. 82, 26–31 (2005). · DOI
- Girelli, D. et al. The interaction between MTHFR 677 C→T genotype and folate status is a determinant of coronary atherosclerosis risk. J. Nutr. 133, 1281–1285 (2003). · DOI
- Bani, D. Relaxin: a pleiotropic hormone. Gen. Pharmacol. 28, 13–22 (1997). · DOI
- Grossman, J. & Frishman, W. H. Relaxin: a new approach for the treatment of acute congestive heart failure. Cardiol. Rev. 18, 305–312 (2010). · DOI
- Teichman, S. L. et al. Relaxin, a pleiotropic vasodilator for the treatment of heart failure. Heart. Fail. Rev. 14, 321–329 (2009). · DOI
- Teerlink, J. R. et al. Relaxin for the treatment of patients with acute heart failure (Pre-RELAX-AHF): a multicentre, randomised, placebo-controlled, parallel-group, dose-finding phase IIb study. Lancet 373, 1429–1439 (2009). · DOI
- Bathgate, Ra. D. et al. Relaxin family peptides and their receptors. Physiol. Rev. 93, 405–480 (2013). · DOI · Paper page
- McNally, T. et al. Cloning and expression of the adenosine kinase gene from rat and human tissues. Biochem. Biophys. Res. Commun. 231, 645–650 (1997). · DOI
- Shryock, J. C. & Belardinelli, L. Adenosine and adenosine receptors in the cardiovascular system: biochemistry, physiology, and pharmacology. Am. J. Cardiol. 79, 2–10 (1997). · DOI
- Böhm, M. Cardiac effects of adenosine. Mechanism of action, pathophysiologic and clinical significance. Klin. Wochenschr. 65, 487–499 (1987). · DOI
- Echavarría-Pinto, M. et al. Low coronary microcirculatory resistance associated with profound hypotension during intravenous adenosine infusion: implications for the functional assessment of coronary stenoses. Circ. Cardiovasc. Interv. 7, 35–42 (2014). · DOI
- Camm, A. J. & Garratt, C. J. Adenosine and supraventricular tachycardia. N. Engl. J. Med. 325, 1621–1629 (1991). · DOI
- Shen, F. M. & Su, D. F. The effect of adenosine on blood pressure variability in sinoaortic denervated rats is mediated by adenosine A2a-receptor. J. Cardiovasc. Pharmacol. 36, 681–686 (2000). · DOI
- Maass, P. G. et al. PDE3A mutations cause autosomal dominant hypertension with brachydactyly. Nat. Genet. 47, 647–653 (2015). · DOI · Paper page
- Houslay, M. Hypertension linked to PDE3A activation. Nat. Genet. 47, 562–563 (2015). · DOI
- Schuster, H. et al. A cross-over medication trial for patients with autosomal-dominant hypertension with brachydactyly. Kidney Int. 53, 167–172 (1998). · DOI
- Naraghi, R. et al. Neurovascular compression at the ventrolateral medulla in autosomal dominant hypertension and brachydactyly. Stroke 28, 1749–1754 (1997). · DOI
- Schunkert, H. et al. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat. Genet. 43, 333–338 (2011). · DOI · Paper page
- Getman, D. K., Eubanks, J. H., Camp, S., Evans, G. A. & Taylor, P. The human gene encoding acetylcholinesterase is located on the long arm of chromosome 7. Am. J. Hum. Genet. 51, 170–177 (1992).
- Singer, W. et al. Acetylcholinesterase inhibition: a novel approach in the treatment of neurogenic orthostatic hypotension. J. Neurol. Neurosurg. Psychiatry 74, 1294–1298 (2003). · DOI
- Del Greco, M. F. et al. Genome-wide association analysis and fine mapping of NT-proBNP level provide novel insight into the role of the MTHFR-CLCN6-NPPA-NPPB gene cluster. Hum. Mol. Genet. 20, 1660–1671 (2011). · DOI
- Flister, M. J. et al. Identifying multiple causative genes at a single GWAS locus. Genome Res. 23, 1996–2002 (2013). · DOI
- Brandt, S. & Jentsch, T. J. ClC-6 and ClC-7 are two novel broadly expressed members of the CLC chloride channel family. FEBS Lett. 377, 15–20 (1995). · DOI
- Park, J. et al. Comprehensive single cell RNAseq analysis of the kidney reveals novel cell types and unexpected cell plasticity. Preprint at https://www.biorxiv.org/content/early/2017/10/13/203125 (2017). · DOI
- Loh, P.-R. et al. Reference-based phasing using the Haplotype Reference Consortium panel. Nat. Genet. 48, 1443–1448 (2016). · DOI · Paper page
- Das, S. et al. Next-generation genotype imputation service and methods. Nat. Genet. 48, 1284–1287 (2016). · DOI · Paper page
- Abraham, G. & Inouye, M. Fast principal component analysis of large-scale genome-wide data. PLoS One 9, e93766 (2014). · DOI
- Chawla, P. S. & Kochar, M. S. Effect of pain and nonsteroidal analgesics on blood pressure. WMJ 98, 22–25 (1999). 29.
- Maixner, W., Gracely, R. H., Zuniga, J. R., Humphrey, C. B. & Bloodworth, G. R. Cardiovascular and sensory responses to forearm ischemia and dynamic hand exercise. Am. J. Physiol. 259, R1156–R1163 (1990).
- Taylor, J. Y. et al. A genome-wide study of blood pressure in African Americans accounting for gene-smoking interaction. Sci. Rep. 6, 18812 (2016). · DOI
- Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011). · DOI · Paper page
- Carroll, R. J., Bastarache, L. & Denny, J. C. R. PheWAS: data analysis and plotting tools for phenome-wide association studies in the Renvironment. Bioinformatics 30, 2375–2376 (2014). · DOI
- Kuhn, M., Letunic, I., Jensen, L. J. & Bork, P. The SIDER database of drugs and side effects. Nucleic Acids Res. 44, D1075–D1079 (2016). · DOI · Paper page
- Cotto, K. C. et al. DGIdb 3.0: a redesign and expansion of the drug-gene interaction database. Nucleic Acids Res. 46, D1068–D1073 (2017). · DOI
- Li, Y. H. et al. Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics. Nucleic Acids Res. 46, D1121–D1127 (2018). · DOI
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Metadata
- Authors
- Understanding Society Scientific Group, Giri, A., International Consortium for Blood Pressure, Blood Pressure-International Consortium of Exome Chip Studies, Program, M. V., Hellwege, J. N., Keaton, J. M., Park, J., Qiu, C., Warren, H. R., Torstenson, E. S., Kovesdy, C. P., Sun, Y. V., Wilson, O. D., Robinson-Cohen, C., Roumie, C. L., Chung, C. P., Birdwell, K. A., Damrauer, S. M., DuVall, S. L., Klarin, D., Cho, K., Wang, Y., Evangelou, E., Cabrera, C. P., Wain, L. V., Shrestha, R., Mautz, B. S., Akwo, E. A., Sargurupremraj, M., Debette, S., Boehnke, M., Scott, L. J., Luan, J., Zhao, J.-H., Willems, S. M., Thériault, S., Shah, N., Oldmeadow, C., Almgren, P., Li-Gao, R., Verweij, N., Boutin, T. S., Mangino, M., Ntalla, I., Feofanova, E., Surendran, P., Cook, J. P., Karthikeyan, S., Lahrouchi, N., Liu, C., Sepúlveda, N., Richardson, T. G., Kraja, A., Amouyel, P., Farrall, M., Poulter, N. R., Laakso, M., Zeggini, E., Sever, P., Scott, R. A., Langenberg, C., Wareham, N. J., Conen, D., Palmer, C. N. A., Attia, J., Chasman, D. I., Ridker, P. M., Melander, O., Mook-Kanamori, D. O., Harst, P. V. D., Cucca, F., Schlessinger, D., Hayward, C., Spector, T. D., Jarvelin, M.-R., Hennig, B. J., Timpson, N. J., Wei, W.-Q., Smith, J. C., Xu, Y., Matheny, M. E., Siew, E. E., Lindgren, C., Herzig, K.-H., Dedoussis, G., Denny, J. C., Psaty, B. M., Howson, J. M. M., Munroe, P. B., Newton-Cheh, C., Caulfield, M. J., Elliott, P., Gaziano, J. M., Concato, J., Wilson, P. W. F., Tsao, P. S., Velez Edwards, D. R., Susztak, K., O’Donnell, C. J., Hung, A. M., & Edwards, T. L.
- ORCID
- Giri, Ayush
- Hellwege, Jacklyn N.
- DuVall, Scott L.
- Evangelou, Evangelos
- Wain, Louise V.
- Boehnke, Michael
- Shah, Nabi
- Almgren, Peter
- Verweij, Niek
- Boutin, Thibaud S.
- Mangino, Massimo
- Feofanova, Elena
- Amouyel, Philippe
- Zeggini, Eleftheria
- Palmer, Colin Neil Alexander
- Attia, John
- Harst, Pim van der
- Cucca, Francesco
- Hayward, Caroline
- Howson, Joanna M. M.
- Munroe, Patricia B.
- Caulfield, Mark J.
- Elliott, Paul
- Susztak, Katalin
- Hung, Adriana M.
- Edwards, Todd L.
- Venue
- Nature Genetics
- Published
- 2018-12-21
- Volume
- 51
- Issue
- 1
- Pages
- 51-62
- ISSN
- 1061-4036
- 1546-1718
- PMC
- PMC6365102
- Cited by
- 459
- References
- 12
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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