Cited by 136Dermatoglyphics and Human TraitsDevelopmental Biology and Gene RegulationHair Growth and Disorders

The developmental basis of fingerprint pattern formation and variation

Open access
Glover, James D., Sudderick, Zoe R., Shih, Barbara Bo-Ju, Batho-Samblas, Cameron, Charlton, Laura, Krause, Andrew L., Anderson, Calum, Riddell, Jon +13 more·2023·Cell

Abstract

Fingerprints are complex and individually unique patterns in the skin. Established prenatally, the molecular and cellular mechanisms that guide fingerprint ridge formation and their intricate arrangements are unknown. Here we show that fingerprint ridges are epithelial structures that undergo a truncated hair follicle developmental program and fail to recruit a mesenchymal condensate. Their spatial pattern is established by a Turing reaction-diffusion system, based on signaling between EDAR, WNT, and antagonistic BMP pathways. These signals resolve epithelial growth into bands of focalized proliferation under a precociously differentiated suprabasal layer. Ridge formation occurs as a set of waves spreading from variable initiation sites defined by the local signaling environments and anatomical intricacies of the digit, with the propagation and meeting of these waves determining the type of pattern that forms. Relying on a dynamic patterning system triggered at spatially distinct sites generates the characteristic types and unending variation of human fingerprint patterns.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2023.01.015

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • scRNA-seq enables profiling of gene expression at single-cell resolution and identification of reliable cellular heterogeneity, allowing identification of previously unrecognized heterogeneity, revealing regulatory relationships between genes, and tracking trajectories of distinct cell lineages.

    “It enables both profiling of gene expression measurements at a single-cell resolution and identification of reliable cellular heterogeneity, allowing for the identification of previously unrecognized levels of cellular heterogeneity, revealing regulatory relationships between genes, and tracking the trajectories of distinct cell lineages in the same or different developmental stages [63–66].”

    From Diversity of human skin three-dimensional organotypic cultures (2024) · cites this paper as [63]

    In “Single cell expression profiling delineates shared early but distinct late events,” the paper uses single-nucleus RNA-seq to characterize gene expression and identify distinct cell populations. The methods section also describes pseudotime trajectory analysis. It does not establish that this sequencing analysis revealed regulatory relationships between genes or tracked lineages across different developmental stages; the sequenced skin was from week 14. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Part of this paper’s reference list could not be split into single entries.

Flagged first, then by citations

Research works printed but not linked: 59

  1. Yum, S.M., Baek, I.K., Hong, D., Kim, J., Jung, K., Kim, S., Eom, K., Jang, J., Kim, S., Sattorov, M., et al. (2020). Fingerprint ridges allow primates to regulate grip. Proc. Natl. Acad. Sci. USA 117, 31665-31673. https://doi. org/10.1073/pnas.2001055117. · DOI
  2. Scheibert, J., Leurent, S., Prevost, A., and Debre ´geas, G. (2009). The role of fingerprints in the coding of tactile information probed with a biomimetic sensor. Science 323, 1503-1506. https://doi.org/10.1126/science. 1166467. · DOI
  3. Verbov, J. (1970). Clinical significance and genetics of epidermal ridges-a review of dermatoglyphics. J. Invest. Dermatol. 54, 261-271. https://doi. org/10.1111/1523-1747.ep12258550. · DOI
  4. Miller, J.R. (1973). Dermatoglyphics. J. Invest. Dermatol. 60, 435-442. https://doi.org/10.1111/1523-1747.ep12702906. · DOI
  5. Saxena, N., Mok, K.W., and Rendl, M. (2019). An updated classification of hair follicle morphogenesis. Exp. Dermatol. 28, 332-344. https://doi.org/ 10.1111/exd.13913. · DOI
  6. Li, J., Glover, J.D., Zhang, H., Peng, M., Tan, J., Mallick, C.B., Hou, D., Yang, Y., Wu, S., Liu, Y., et al. (2022). Limb development genes underlie variation in human fingerprint patterns. Cell 185, 95-112.e18. https://doi. org/10.1016/j.cell.2021.12.008. · DOI
  7. Lacroix, B., Wolff-Quenot, M.J., and Haffen, K. (1984). Early human hand morphology: an estimation of fetal age. Early Hum. Dev. 9, 127-136. https://doi.org/10.1016/0378-3782(84)90093-8. · DOI
  8. Ku ¨cken, M. (2007). Models for fingerprint pattern formation. Forensic Sci. Int. 171, 85-96. https://doi.org/10.1016/j.forsciint.2007.02.025. · DOI
  9. Du ¨ring, B., Gottschlich, C., Huckemann, S., Kreusser, L.M., and Scho ¨n- lieb, C.B. (2019). An anisotropic interaction model for simulating finger- prints. J. Math. Biol. 78, 2171-2206. https://doi.org/10.1007/s00285- 019-01338-3. · DOI
  10. Gupta, K., Levinsohn, J., Linderman, G., Chen, D., Sun, T.Y., Dong, D., Taketo, M.M., Bosenberg, M., Kluger, Y., Choate, K., and Myung, P. (2019). Single-cell analysis reveals a hair follicle dermal niche molecular differentiation trajectory that begins prior to morphogenesis. Dev. Cell 48, 17-31.e6. https://doi.org/10.1016/j.devcel.2018.11.032. · DOI
  11. Tsai, S.Y., Sennett, R., Rezza, A., Clavel, C., Grisanti, L., Zemla, R., Najam, S., and Rendl, M. (2014). Wnt/beta-catenin signaling in dermal conden- sates is required for hair follicle formation. Dev. Biol. 385, 179-188. https://doi.org/10.1016/j.ydbio.2013.11.023. · DOI
  12. Glover, J.D., Wells, K.L., Mattha ¨us, F., Painter, K.J., Ho, W., Riddell, J., Jo- hansson, J.A., Ford, M.J., Jahoda, C.A.B., Klika, V., et al. (2017). Hierarchi- cal patterning modes orchestrate hair follicle morphogenesis. PLoS Biol. 15, e2002117. https://doi.org/10.1371/journal.pbio.2002117. · DOI · Paper page
  13. Huh, S.H., Na ¨rhi, K., Lindfors, P.H., Ha ¨a ¨ra ¨, O., Yang, L., Ornitz, D.M., and Mikkola, M.L. (2013). Fgf20 governs formation of primary and secondary dermal condensations in developing hair follicles. Genes Dev. 27, 450-458. https://doi.org/10.1101/gad.198945.112. · DOI
  14. Nousbeck, J., Burger, B., Fuchs-Telem, D., Pavlovsky, M., Fenig, S., Sarig, O., Itin, P., and Sprecher, E. (2011). A mutation in a skin-specific isoform of SMARCAD1 causes autosomal-dominant adermatoglyphia. Am. J. Hum. Genet. 89, 302-307. https://doi.org/10.1016/j.ajhg.2011.07.004. · DOI
  15. Song, Y., Boncompagni, A.C., Kim, S.S., Gochnauer, H.R., Zhang, Y., Loots, G.G., Wu, D., Li, Y., Xu, M., and Millar, S.E. (2018). Regional control of hairless versus hair-bearing skin by Dkk2. Cell Rep. 25, 2981-2991.e3. https://doi.org/10.1016/j.celrep.2018.11.017. · DOI
  16. Qu, R., Gupta, K., Dong, D., Jiang, Y., Landa, B., Saez, C., Strickland, G., Levinsohn, J., Weng, P.L., Taketo, M.M., et al. (2022). Decomposing a deterministic path to mesenchymal niche formation by two intersecting morphogen gradients. Dev. Cell 57, 1053-1067.e5. https://doi.org/10. 1016/j.devcel.2022.03.011. · DOI
  17. Singh, B., and Coffey, R.J. (2014). From wavy hair to naked proteins: the role of transforming growth factor alpha in health and disease. Semin. Cell Dev. Biol. 28, 12-21. https://doi.org/10.1016/j.semcdb.2014.03.003. · DOI
  18. Shirokova, V., Biggs, L.C., Jussila, M., Ohyama, T., Groves, A.K., and Mik- kola, M.L. (2016). Foxi3 deficiency compromises hair follicle stem cell specification and activation. Stem Cell. 34, 1896-1908. https://doi.org/ 10.1002/stem.2363. · DOI
  19. Hillman, R.T., Feng, B.Y., Ni, J., Woo, W.M., Milenkovic, L., Hayden Ge- phart, M.G., Teruel, M.N., Oro, A.E., Chen, J.K., and Scott, M.P. (2011). Neuropilins are positive regulators of Hedgehog signal transduction. Genes Dev. 25, 2333-2346. https://doi.org/10.1101/gad.173054.111. · DOI
  20. Ku ¨cken, M., and Newell, A.C. (2005). Fingerprint formation. J. Theor. Biol. 235, 71-83. https://doi.org/10.1016/j.jtbi.2004.12.020. · DOI
  21. Totaro, A., Panciera, T., and Piccolo, S. (2018). YAP/TAZ upstream signals and downstream responses. Nat. Cell Biol. 20, 888-899. https://doi.org/ 10.1038/s41556-018-0142-z. · DOI · Paper page
  22. Fiore, V.F., Krajnc, M., Quiroz, F.G., Levorse, J., Pasolli, H.A., Shvartsman, S.Y., and Fuchs, E. (2020). Mechanics of a multilayer epithelium instruct tumour architecture and function. Nature 585, 433-439. https://doi.org/ 10.1038/s41586-020-2695-9. · DOI
  23. Li, S., Zhou, J., Bu, J., Ning, K., Zhang, L., Li, J., Guo, Y., He, X., He, H., Cai, X., et al. (2017). Ectodysplasin A protein promotes corneal epithelial cell proliferation. J. Biol. Chem. 292, 13391-13401. https://doi.org/10.1074/ jbc.M117.803809. · DOI
  24. Schmidt-Ullrich, R., Tobin, D.J., Lenhard, D., Schneider, P., Paus, R., and Scheidereit, C. (2006). NF-kappaB transmits Eda A1/EdaR signalling to activate Shh and cyclin D1 expression, and controls post-initiation hair placode down growth. Development 133, 1045-1057. https://doi.org/10. 1242/dev.02278. · DOI · Paper page
  25. Williams, R., Jobling, S., Sims, A.H., Mou, C., Wilkinson, L., Collu, G.M., Streuli, C.H., Gilmore, A.P., Headon, D.J., and Brennan, K. (2022). Elevated EDAR signalling promotes mammary gland tumourigenesis with squamous metaplasia. Oncogene 41, 1040-1049. https://doi.org/ 10.1038/s41388-021-01902-6. · DOI
  26. Headon, D.J., and Overbeek, P.A. (1999). Involvement of a novel Tnf re- ceptor homologue in hair follicle induction. Nat. Genet. 22, 370-374. https://doi.org/10.1038/11943. · DOI · Paper page
  27. Zhang, Y., Tomann, P., Andl, T., Gallant, N.M., Huelsken, J., Jerchow, B., Birchmeier, W., Paus, R., Piccolo, S., Mikkola, M.L., et al. (2009). Recip- rocal requirements for EDA/EDAR/NF-kappaB and Wnt/beta-catenin signaling pathways in hair follicle induction. Dev. Cell 17, 49-61. S1534- 5807(09)00213-5 [pii]. https://doi.org/10.1016/j.devcel.2009.05.011. · DOI
  28. Mou, C., Jackson, B., Schneider, P., Overbeek, P.A., and Headon, D.J. (2006). Generation of the primary hair follicle pattern. Proc. Natl. Acad. 0600825103. · DOI · Paper page
  29. Pummila, M., Fliniaux, I., Jaatinen, R., James, M.J., Laurikkala, J., Schneider, P., Thesleff, I., and Mikkola, M.L. (2007). Ectodysplasin has a dual role in ectodermal organogenesis: inhibition of Bmp activity and in- duction of Shh expression. Development 134, 117-125. https://doi.org/ 10.1242/dev.02708. · DOI
  30. Mou, C., Thomason, H.A., Willan, P.M., Clowes, C., Harris, W.E., Drew, C.F., Dixon, J., Dixon, M.J., and Headon, D.J. (2008). Enhanced ectodysplasin-A receptor (EDAR) signaling alters multiple fiber character- istics to produce the East Asian hair form. Hum. Mutat. 29, 1405-1411. https://doi.org/10.1002/humu.20795. · DOI · Paper page
  31. Painter, K.J., Hunt, G.S., Wells, K.L., Johansson, J.A., and Headon, D.J. (2012). Towards an integrated experimental-theoretical approach for as- sessing the mechanistic basis of hair and feather morphogenesis. Inter- face Focus 2, 433-450. https://doi.org/10.1098/rsfs.2011.0122. · DOI
  32. Sheth, R., Marcon, L., Bastida, M.F., Junco, M., Quintana, L., Dahn, R., Kmita, M., Sharpe, J., and Ros, M.A. (2012). Hox genes regulate digit patterning by controlling the wavelength of a Turing-type mechanism. Sci- ence 338, 1476-1480. https://doi.org/10.1126/science.1226804. · DOI
  33. Botchkarev, V.A., Botchkareva, N.V., Roth, W., Nakamura, M., Chen, L.H., Herzog, W., Lindner, G., McMahon, J.A., Peters, C., Lauster, R., et al. (1999). Noggin is a mesenchymally derived stimulator of hair-follicle induc- tion. Nat. Cell Biol. 1, 158-164. https://doi.org/10.1038/11078. · DOI
  34. Jamora, C., DasGupta, R., Kocieniewski, P., and Fuchs, E. (2003). Links between signal transduction, transcription and adhesion in epithelial bud development. Nature 422, 317-322. https://doi.org/10.1038/nature01458. · DOI
  35. Kratochwil, K., Dull, M., Farinas, I., Galceran, J., and Grosschedl, R. (1996). Lef1 expression is activated by BMP-4 and regulates inductive tis- sue interactions in tooth and hair development. Genes Dev. 10, 1382- 1394. https://doi.org/10.1101/gad.10.11.1382. · DOI
  36. Kimura, S., Schaumann, B.A., Plato, C.C., and Kitagawa, T. (1990). Embry- ological development and prevalence of digital flexion creases. Anat. Rec. 226, 249-257. https://doi.org/10.1002/ar.1092260214. · DOI
  37. David, T.J. (1973). Congenital malformations of human dermatoglyphs. Arch. Dis. Child. 48, 191-198. https://doi.org/10.1136/adc.48.3.191. · DOI
  38. Biggs, L.C., and Mikkola, M.L. (2014). Early inductive events in ectodermal appendage morphogenesis. Semin. Cell Dev. Biol. 25-26, 11-21. https:// doi.org/10.1016/j.semcdb.2014.01.007. · DOI
  39. Kondo, S., and Miura, T. (2010). Reaction-diffusion model as a framework for understanding biological pattern formation. Science 329, 1616-1620. https://doi.org/10.1126/science.1179047. · DOI · Paper page
  40. Vanag, V.K., and Epstein, I.R. (2009). Pattern formation mechanisms in re- action-diffusion systems. Int. J. Dev. Biol. 53, 673-681. https://doi.org/10. 1387/ijdb.072484vv. · DOI
  41. Schneider, H., Faschingbauer, F., Schuepbach-Mallepell, S., Ko ¨rber, I., Wohlfart, S., Dick, A., Wahlbuhl, M., Kowalczyk-Quintas, C., Vigolo, M., Kirby, N., et al. (2018). Prenatal correction of X-linked hypohidrotic ecto- dermal dysplasia. N. Engl. J. Med. 378, 1604-1610. https://doi.org/10. 1056/NEJMoa1714322. · DOI · Paper page
  42. Lu, C.P., Polak, L., Keyes, B.E., and Fuchs, E. (2016). Spatiotemporal antagonism in mesenchymal-epithelial signaling in sweat versus hair fate decision. Science 354, aah6102. https://doi.org/10.1126/science. aah6102. · DOI · Paper page
  43. Kamberov, Y.G., Karlsson, E.K., Kamberova, G.L., Lieberman, D.E., Sa- beti, P.C., Morgan, B.A., and Tabin, C.J. (2015). A genetic basis of variation in eccrine sweat gland and hair follicle density. Proc. Natl. Acad. Sci. USA 112, 9932-9937. https://doi.org/10.1073/pnas.1511680112. · DOI
  44. Lugassy, J., Itin, P., Ishida-Yamamoto, A., Holland, K., Huson, S., Geiger, D., Hennies, H.C., Indelman, M., Bercovich, D., Uitto, J., et al. (2006). Nae- geli-Franceschetti-Jadassohn syndrome and dermatopathia pigmentosa reticularis: two allelic ectodermal dysplasias caused by dominant muta- tions in KRT14. Am. J. Hum. Genet. 79, 724-730. https://doi.org/10. 1086/507792. · DOI
  45. Pooh, R., and Ogura, T. (2004). Normal and abnormal fetal hand posi- tioning and movement in early pregnancy detected by three-and four- dimensional ultrasound. Ultrasound Rev. Obstet. Gynecol. 4, 46-51. https://doi.org/10.3109/14722240410001700249. · DOI
  46. Fried, K., and Mundel, G. (1976). Absence of distal interphalangeal creases of fingers with flexion limitation. J. Med. Genet. 13, 127-130. https://doi.org/10.1136/jmg.13.2.127. · DOI
  47. Casey, P.A., and Ger, E. (1979). Abnormal dermatoglyphics in arthrogry- posis multiplex congenita. Hand 11, 34-40. https://doi.org/10.1016/ s0072-968x(79)80006-6. · DOI
  48. Sack, G.H., Jr. (1978). A dominantly inherited form of arthrogryposis multi- plex congenita with unusual dermatoglyphics. Clin. Genet. 14, 317-323. https://doi.org/10.1111/j.1399-0004.1978.tb02096.x. · DOI
  49. Ferrer-Vaquer, A., Piliszek, A., Tian, G., Aho, R.J., Dufort, D., and Hadjan- tonakis, A.K. (2010). A sensitive and bright single-cell resolution live imag- ing reporter of Wnt/ss-catenin signaling in the mouse. BMC Dev. Biol. 10, 121. https://doi.org/10.1186/1471-213X-10-121. · DOI
  50. Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676-682. https://doi.org/10.1038/nmeth.2019. · DOI · Paper page
  51. Aigouy, B., Umetsu, D., and Eaton, S. (2016). Segmentation and quantita- tive analysis of epithelial tissues. Methods Mol. Biol. 1478, 227-239. https://doi.org/10.1007/978-1-4939-6371-3_13. · DOI
  52. Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W.M., 3rd, Hao, Y., Stoeckius, M., Smibert, P., and Satija, R. (2019). Comprehensive integration of single-cell data. Cell 177, 1888-1902.e21. https://doi.org/10.1016/j.cell.2019.05.031. · DOI · Paper page
  53. Amezquita, R.A., Lun, A.T.L., Becht, E., Carey, V.J., Carpp, L.N., Geistlin- ger, L., Marini, F., Rue-Albrecht, K., Risso, D., Soneson, C., et al. (2020). Orchestrating single-cell analysis with Bioconductor. Nat. Methods 17, 137-145. https://doi.org/10.1038/s41592-019-0654-x. · DOI · Paper page
  54. McCarthy, D.J., Campbell, K.R., Lun, A.T.L., and Wills, Q.F. (2017). Scater: pre-processing, quality control, normalization and visualization of single- cell RNA-seq data in R. Bioinformatics 33, 1179-1186. https://doi.org/ 10.1093/bioinformatics/btw777. · DOI · Paper page
  55. Germain, P.L., Lun, A., Garcia Meixide, C., Macnair, W., and Robin- son, M.D. (2021). Doublet identification in single-cell sequencing data using scDblFinder. F1000Res. 10, 979. https://doi.org/10. 12688/f1000research.73600.1. · DOI
  56. Street, K., Risso, D., Fletcher, R.B., Das, D., Ngai, J., Yosef, N., Purdom, E., and Dudoit, S. (2018). Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics. BMC Genom. 19, 477. https://doi.org/10. 1186/s12864-018-4772-0. · DOI · Paper page
  57. Olhede, S.C., and Walden, A.T. (2002). Generalized morse wavelets. IEEE Trans. Signal Process. 50, 2661-2670.
  58. Van Gorder, R.A., Klika, V., and Krause, A.L. (2021). Turing conditions for pattern forming systems on evolving manifolds. J. Math. Biol. 82, 4. https://doi.org/10.1007/s00285-021-01552-y. · DOI
  59. Domander, R., Felder, A.A., and Doube, M. (2021). BoneJ2 -refactoring established research software. Wellcome Open Res. 6, 37. https://doi. org/10.12688/wellcomeopenres.16619. · DOI

Cited by

Sorted by citations

Authors
Glover, J. D., Sudderick, Z. R., Shih, B. B.-J., Batho-Samblas, C., Charlton, L., Krause, A. L., Anderson, C., Riddell, J., Balic, A., Li, J., Klika, V., Woolley, T. E., Gaffney, E. A., Corsinotti, A., Anderson, R. A., Johnston, L. J., Brown, S. J., Wang, S., Chen, Y., Crichton, M. L., & Headon, D. J.
Affiliations
  • Roslin Institute (GB)
  • Heriot-Watt University (GB)
  • Durham University (GB)
  • Fudan University (CN)
  • Czech Technical University in Prague (CZ)
  • Cardiff University (GB)
  • University of Oxford (GB)
  • MRC Centre for Regenerative Medicine (GB)
  • MRC Centre for Reproductive Health (GB)
  • Institute of Genetics and Cancer (GB)
  • Chinese Academy of Sciences (CN)
Corresponding author
Headon, Denis J.
Venue
Cell
Publisher
Elsevier BV
Published
2023-03
Volume
186
Issue
5
Pages
940-956.e20
ISSN
0092-8674 (ISSN-L)
OpenAlex
W4319728712
Cited by
136
References
6
Citations by year
2026: 36 · 2025: 43 · 2024: 42 · 2023: 14 · 2018: 1
FWCI
22.40
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Durham Research Online (Durham University) (publishedVersion, other-oa)
  • ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
Funders
  • Wellcome Trust (220875/Z/20/Z)
  • European Regional Development Fund
  • National Natural Science Foundation of China (32200482, ERDF-Project CZ.02.1.01/0.0/0.0/16-019/0000778)
  • BBSRC (BB/CCG1780/1, BB/N008545/1, BBS/E/D/10002071, BB/T007788/1, BB/T008385/1)
  • Engineering and Physical Sciences Research Council
  • Medical Research Council (MR/N022556/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Dermatoglyphics and Human Traits
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Health Sciences › Medicine › Urology › Hair Growth and Disorders
Keywords
skin epithelium, hair follicle development, mesenchymal condensation, Wnt signaling, BMP signaling, digit development, morphogen gradients
MeSH terms
Humans, Skin, Signal Transduction

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 ›

Are you an author, or do you see a problem with this page? Request a review