Exome Sequencing, ANGPTL3 Mutations, and Familial Combined Hypolipidemia
Open accessAbstract
We sequenced all protein-coding regions of the genome (the "exome") in two family members with combined hypolipidemia, marked by extremely low plasma levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides. These two participants were compound heterozygotes for two distinct nonsense mutations in ANGPTL3 (encoding the angiopoietin-like 3 protein). ANGPTL3 has been reported to inhibit lipoprotein lipase and endothelial lipase, thereby increasing plasma triglyceride and HDL cholesterol levels in rodents. Our finding of ANGPTL3 mutations highlights a role for the gene in LDL cholesterol metabolism in humans and shows the usefulness of exome sequencing for identification of novel genetic causes of inherited disorders. (Funded by the National Human Genome Research Institute and others.).
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The AGRE subjects with HABL might have familial combined hypolipidemia, which is primarily secondary to loss-of-function mutations in the genes of the angiopoietin-like proteins, including ANGPTL3.
“The AGRE subjects with HABL might have familial combined hypolipidemia, which is primarily secondary to loss-of-function mutations in the genes of the angiopoietin-like proteins, including ANGPTL3 [90–92]”
From Sterol and lipid analyses identifies hypolipidemia and apolipoprotein disorders in autism associated with adaptive functioning deficits (2021) · cites this paper as [91]
The Discussion reports that two nonsense ANGPTL3 mutations were associated with low LDL cholesterol, HDL cholesterol, and triglycerides in one family, a phenotype the authors propose to call familial combined hypolipidemia. It does not establish that AGRE subjects have this condition or that the condition is primarily caused by loss-of-function mutations across angiopoietin-like protein genes. (LLM, conf=0.86)
Experimental — accuracy not yet measuredANGPTL3 is a genetically validated target for HTG to reduce ASCVD risk.
“ANGPTL3 is a genetically validated target for HTG to reduce ASCVD risk.11,77–79”
From Clinical review on triglycerides (2020) · cites this paper as [78]
Genetic loss-of-function variants in ANGPTL3 are associated with lower levels of plasma lipids, including lower triglycerides and LDL-C, and with lower rates of coronary artery disease.
“Genetic loss-of-function variants in ANGPTL3 are associated with lower levels of plasma lipids.”
From Effect of Vupanorsen on Non–High-Density Lipoprotein Cholesterol Levels in Statin-Treated Patients With Elevated Cholesterol: TRANSLATE-TIMI 70 (2022) · cites this paper as [9]
Genetic defects controlling TG metabolism, including APOC3, ANGPTL3 and ANGPTL4, linked to reduced TG are associated with reduced coronary calcification or reduced CVD risk.
“defects in genes controlling TG metabolism, including APOC3, ANGPTL3 and ANGPTL4 that have been linked to reduced TG and are associated with reduced coronary calcification25 or reduced CVD risk.26-30”
From Is Isolated Low High-Density Lipoprotein Cholesterol a Cardiovascular Disease Risk Factor?: New Insights From the Framingham Offspring Study (2016) · cites this paper as [28]
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Cites
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
Self-citationBiological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487 · see citing works
Self-citationMultipoint Quantitative-Trait Linkage Analysis in General Pedigrees
Almasy, L. A., & Blangero, J. (1998) · The American Journal of Human Genetics · doi:10.1086/301844 · Cited by 3,007 · see citing works
Targeted capture and massively parallel sequencing of 12 human exomes
Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030 · see citing works
Exome sequencing identifies the cause of a mendelian disorder
Ng, S. B., Buckingham, K. J., Lee, C., Bigham, A. W., Tabor, H. K., Dent, K. M., Huff, C. D., Shannon, P. T., Jabs, E. W., Nickerson, D. A., et al. (2010) · Nature Genetics · doi:10.1038/ng.499 · Cited by 1,957 · see citing works
Gnirke, A., Melnikov, A., Maguire, J., Rogov, P., LeProust, E. M., Brockman, W., Fennell, T., Giannoukos, G., Fisher, S., Russ, C., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1523 · Cited by 1,433 · see citing works
Self-citationGenetic diagnosis by whole exome capture and massively parallel DNA sequencing
Choi, M., Scholl, U. I., Ji, W., Liu, T., Tikhonova, I. R., Zumbo, P., Nayır, A., Bakkaloğlu, A., Özen, S., Sanjad, S. A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910672106 · Cited by 1,327 · see citing works
Köster, A., Chao, Y. B., Mosior, M., Ford, A., Gonzalez-DeWhitt, P. A., Hale, J. E., Li, D., Qiu, Y., Fraser, C. C., Yang, D. D., et al. (2005) · Endocrinology · doi:10.1210/en.2005-0476 · Cited by 427 · see citing works
Romeo, S., Wu, Y., Kozlitina, J., Pennacchio, L. A., Boerwinkle, E., Hobbs, H. H., & Cohen, J. C. (2008) · Journal of Clinical Investigation · doi:10.1172/jci37118 · Cited by 422 · see citing works
Self-citationAngptl3 regulates lipid metabolism in mice
Koishi, R., Ando, Y., Ono, M., Shimamura, M., Yasumo, H., Fujiwara, T., Horikoshi, H., & Furukawa, H. (2002) · Nature Genetics · doi:10.1038/ng814 · Cited by 420 · see citing works
Shimizugawa, T., Ono, M., Shimamura, M., Yoshida, K., Ando, Y., Koishi, R., Ueda, K., Inaba, T., Minekura, H., Kohama, T., et al. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m203215200 · Cited by 370 · see citing works
Shimamura, M., Matsuda, M., Yasumo, H., Okazaki, M., Fujimoto, K., Kono, K., Shimizugawa, T., Ando, Y., Koishi, R., Kohama, T., et al. (2007) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000252827.51626.89 · Cited by 297 · see citing works
Lee, E.-C., Desai, U., Gololobov, G., Hong, S., Feng, X., Yu, X., Gay, J. P., Wilganowski, N., Gao, C., Du, L.-L., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m807899200 · Cited by 161 · see citing works
Familial hypobetalipoproteinemia: genetics and metabolism
Schonfeld, G., Lin, X., & Yue, P. (2005) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-005-4473-0 · Cited by 154 · see citing works
Self-citationSchonfeld, G., Patterson, B. W., Yablonskiy, D. A., Tanoli, T. S. K., Averna, M. R., Elias, N., Yue, P., & Ackerman, J. J. H. (2003) · Journal of Lipid Research · doi:10.1194/jlr.m200342-jlr200 · Cited by 143 · see citing works
Self-citationHepatic Proprotein Convertases Modulate HDL Metabolism
Jin, W., Wang, X., Millar, J. S., Quertermous, T., Rothblat, G. H., Glick, J. M., & Rader, D. J. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.07.009 · Cited by 126 · see citing works
Tarugi, P., Lonardo, A., Ballarini, G., Grisendi, A., Pulvirenti, M., Bagni, A., & Calandra, S. (1996) · Gastroenterology · doi:10.1016/s0016-5085(96)70082-3 · Cited by 102 · see citing works
Ando, Y., Shimizugawa, T., Takeshita, S., Ono, M., Shimamura, M., Koishi, R., & Furukawa, H. (2003) · Journal of Lipid Research · doi:10.1194/jlr.m300031-jlr200 · Cited by 101 · see citing works
Monogenic Hypocholesterolaemic Lipid Disorders and Apolipoprotein B Metabolism
Hooper, A. J., BOCKXMEER, F. M. V., & Burnett, J. R. (2005) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408360500295113 · Cited by 99 · see citing works
Linkage of a Gene for Familial Hypobetalipoproteinemia to Chromosome 3p21.1-22
Yuan, B., Neuman, R. J., Duan, S., et al. (2000) · The American Journal of Human Genetics · doi:10.1086/302904 · Cited by 66 · see citing works
Elias, N., Patterson, B. W., & Schonfeld, G. (2000) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.20.5.1309 · Cited by 36 · see citing works
Self-citationAbsence of fatty liver in familial hypobetalipoproteinemia linked to chromosome 3p21
Yue, P., Tanoli, T. S. K., Wilhelm, O., Patterson, B. W., Yablonskiy, D. A., & Schonfeld, G. (2005) · Metabolism · doi:10.1016/j.metabol.2004.12.013 · Cited by 27 · see citing works
Self-citationHamaguchi, K., Arikawa, M., Yasunaga, S., Kakuma, T., Fukagawa, K., Yanase, T., Nawata, H., & Sakata, T. (1998) · American Journal of Medical Genetics · doi:10.1002/(sici)1096-8628(19980226)76:1 · Cited by 18 · see citing works
Sherva, R., Yue, P., Schonfeld, G., et al. (2007) · Journal of Lipid Research · doi:10.1194/jlr.m700078-jlr200 · Cited by 9 · see citing works
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The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
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Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762 · see citing works
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Nordestgaard, B. G., & Varbo, A. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61177-6 · Cited by 1,419 · see citing works
Richardson, T. G., Sanderson, E., Palmer, T. M., Ala-Korpela, M., Ference, B. A., Davey Smith, G., & Holmes, M. V. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003062 · Cited by 843 · see citing works
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Li, T., & Chiang, J. Y. L. (2014) · Pharmacological Reviews · doi:10.1124/pr.113.008201 · Cited by 935 · see citing works
Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease
Dewey, F. E., Gusarova, V., Dunbar, R. L., O’Dushlaine, C., Schurmann, C., Gottesman, O., McCarthy, S., Van Hout, C. V., Bruse, S., Dansky, H. M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1612790 · Cited by 885 · see citing works
Hegele, R. A., Ginsberg, H. N., Chapman, M. J., Nordestgaard, B. G., Kuivenhoven, J. A., Averna, M., Borén, J., Bruckert, E., Catapano, A. L., Descamps, O. S., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70191-8 · Cited by 635 · see citing works
Sandesara, P. B., Virani, S. S., Fazio, S., & Shapiro, M. D. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00184 · Cited by 626 · see citing works
Cardiovascular and Metabolic Effects of <i>ANGPTL3</i> Antisense Oligonucleotides
Graham, M. J., Lee, R. G., Brandt, T. A., Tai, L.-J., Fu, W., Peralta, R., Yu, R., Hurh, E., Paz, E., McEvoy, B. W., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701329 · Cited by 573 · see citing works
Clinical review on triglycerides
Laufs, U., Parhofer, K. G., Ginsberg, H. N., & Hegele, R. A. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz785 · Cited by 544 · see citing works
Inactivating Variants in <i>ANGPTL4</i> and Risk of Coronary Artery Disease
Dewey, F. E., Gusarova, V., O’Dushlaine, C., Gottesman, O., Trejos, J., Hunt, C., Van Hout, C. V., Habegger, L., Buckler, D., Lai, K.-M. V., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1510926 · Cited by 497 · see citing works
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Stitziel, N. O., Khera, A. V., Wang, X., Bierhals, A. J., Vourakis, A. C., Sperry, A. E., Natarajan, P., Klarin, D., Emdin, C. A., Zekavat, S. M., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.02.030 · Cited by 467 · see citing works
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Jamuar, S. S., Lam, A.-T. N., Kircher, M., D’Gama, A. M., Wang, J., Barry, B. J., Zhang, X., Hill, R. S., Partlow, J. N., Rozzo, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1314432 · Cited by 392 · see citing works
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Gaudet, D., Gipe, D. A., Pordy, R., Ahmad, Z., Cuchel, M., Shah, P. K., Chyu, K.-Y., Sasiela, W. J., Chan, K.-C., Brisson, D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1705994 · Cited by 323 · see citing works
Metabolism of triglyceride-rich lipoproteins in health and dyslipidaemia
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Wang, Y., Quagliarini, F., Gusarova, V., Gromada, J., Valenzuela, D. M., Cohen, J. C., & Hobbs, H. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315292110 · Cited by 317 · see citing works
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Self-citationAkbari, P., Gilani, A., Sosina, O., Kosmicki, J. A., Khrimian, L., Fang, Y.-Y., Persaud, T., Garcia, V., Sun, D., Li, A., et al. (2021) · Science · doi:10.1126/science.abf8683 · Cited by 276 · see citing works
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Gusarova, V., Alexa, C. A., Wang, Y., Rafique, A., Kim, J. H., Buckler, D., Mintah, I. J., Shihanian, L. M., Cohen, J. C., Hobbs, H. H., et al. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m054890 · Cited by 210 · see citing works
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Xiao, C., Dash, S., Morgantini, C., Hegele, R. A., & Lewis, G. F. (2016) · Diabetes · doi:10.2337/db16-0046 · Cited by 212 · see citing works
Thanassoulis, G., Peloso, G. M., Pencina, M. J., Hoffmann, U., Fox, C. S., Cupples, L. A., Levy, D., D'Agostino, R. B., Hwang, S.-J., & O'Donnell, C. J. (2012) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.111.961342 · Cited by 211 · see citing works
Self-citationAdam, R. C., Mintah, I. J., Alexa-Braun, C. A., Shihanian, L. M., Lee, J. S., Banerjee, P., Hamon, S. C., Kim, H. I., Cohen, J. C., Hobbs, H. H., et al. (2020) · Journal of Lipid Research · doi:10.1194/jlr.ra120000888 · Cited by 208 · see citing works
Self-citationBergmark, B. A., Marston, N. A., Bramson, C. R., Curto, M., Ramos, V., Jevne, A., Kuder, J. F., Park, J.-G., Murphy, S. A., Verma, S., et al. (2022) · Circulation · doi:10.1161/circulationaha.122.059266 · Cited by 216 · see citing works
Hegele, R. A., Borén, J., Ginsberg, H. N., Arca, M., Averna, M., Binder, C. J., Calabresi, L., Chapman, M. J., Cuchel, M., von Eckardstein, A., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30264-5 · Cited by 204 · see citing works
New insights into the regulation of chylomicron production
Dash, S., Xiao, C., Morgantini, C., & Lewis, G. F. (2015) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071714-034338 · Cited by 194 · see citing works
Inactivation of ANGPTL3 reduces hepatic VLDL-triglyceride secretion
Wang, Y., Gusarova, V., Banfi, S., Gromada, J., Cohen, J. C., & Hobbs, H. H. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m054882 · Cited by 189 · see citing works
Self-citationLipid-Lowering Agents: Targets Beyond PCSK9
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Minicocci, I., Montali, A., Robciuc, M. R., Quagliarini, F., Censi, V., Labbadia, G., Gabiati, C., Pigna, G., Sepe, M. L., Pannozzo, F., et al. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1298 · Cited by 168 · see citing works
Rosenson, R. S., Gaudet, D., Ballantyne, C. M., Baum, S. J., Bergeron, J., Kershaw, E. E., Moriarty, P. M., Rubba, P., Whitcomb, D. C., Banerjee, P., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02222-w · Cited by 140 · see citing works
Reeskamp, L. F., Millar, J. S., Wu, L., Jansen, H., van Harskamp, D., Schierbeek, H., Gipe, D. A., Rader, D. J., Dallinga-Thie, G. M., Hovingh, G. K., et al. (2021) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.120.315204 · Cited by 109 · see citing works
“The gradient was formed by layering the following salt solutions on top of the plasma: (1) 2 mL d=1.”
MethodMinicocci, I., Santini, S., Cantisani, V., Stitziel, N., Kathiresan, S., Arroyo, J. A., Martí, G., Pisciotta, L., Noto, D., Cefalù, A. B., et al. (2013) · Journal of Lipid Research · doi:10.1194/jlr.p039875 · Cited by 97 · see citing works
Self-citationBartlett, J., Predazzi, I. M., Williams, S. M., Bush, W. S., Kim, Y., Havas, S., Toth, P. P., Fazio, S., & Miller, M. (2016) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.115.002436 · Cited by 96 · see citing works
Triglyceride-rich lipoproteins and remnants: targets for therapy?
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Hegele, R. A. (2016) · Journal of Lipid Research · doi:10.1194/jlr.c070946 · Cited by 31 · see citing works
Tierney, E., Remaley, A. T., Thurm, A., Jager, L. R., Wassif, C. A., Kratz, L. E., Bailey-Wilson, J. E., Bukelis, I., Sarphare, G., Jung, E. S., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01580-8 · Cited by 26 · see citing works
- Authors
- Musunuru, K., Pirruccello, J. P., Do, R., Peloso, G. M., Guiducci, C., Sougnez, C., Garimella, K. V., Fisher, S., Abreu, J., Barry, A. J., Fennell, T., Banks, E., Ambrogio, L., Cibulskis, K., Kernytsky, A., Gonzalez, E., Rudzicz, N., Engert, J. C., DePristo, M. A., Daly, M. J., Cohen, J. C., Hobbs, H. H., Altshuler, D., Schonfeld, G., Gabriel, S. B., Yue, P., & Kathiresan, S.
- Affiliations
- Broad Institute (US)
- Boston University (US)
- McGill University (CA)
- The University of Texas Southwestern Medical Center (US)
- Washington University in St. Louis (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2010-12-02
- Volume
- 363
- Issue
- 23
- Pages
- 2220-2227
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC3008575
- OpenAlex
- W2106937178
- Cited by
- 754
- References
- 24
- Citations by year
- 2026: 35 · 2025: 44 · 2024: 37 · 2023: 67 · 2022: 54 · 2021: 55 · 2020: 47 · 2019: 41 · 2018: 43 · 2017: 46 · 2016: 42 · 2015: 40 · 2014: 47 · 2013: 45 · 2012: 52
- FWCI
- 34.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Funders
- Donovan Family Foundation
- Broad Institute
- Sarnoff Cardiovascular Research Foundation
- National Institutes of Health
- Canadian Institutes of Health Research
- National Heart, Lung, and Blood Institute (RC2HL101864, R01HL082896, K99HL098364, RC1HL099634, RL1HL092550, RC1HL099793)
- National Human Genome Research Institute (U54HG003067, HG003067)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- ANGPTL3, compound heterozygosity, nonsense mutation, LDL cholesterol, HDL cholesterol, triglycerides, lipoprotein lipase, endothelial lipase, LDL cholesterol metabolism, exome sequencing
- MeSH terms
- Angiopoietin-like Proteins, Angiopoietin-Like Protein 3, DNA Mutational Analysis, Female, Humans, Hypobetalipoproteinemias, Genetic Linkage, Cholesterol, HDL, Cholesterol, LDL, Male, Pedigree, Codon, Nonsense, Angiopoietins
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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