Skip to main content

Genetic Evaluation of the Class III Dentofacial in Rural and Urban Spanish Population by AI Techniques

  • Conference paper
Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 151))

Abstract

The etiology of skeletal class III malocclusion is multifactorial, complex and likely results from mutations in numerous genes. In this study, we sought to understand genotype correlation of the class III dentofacial deformity in rural and urban spanish population of more than one generation. The genetic analyze was made using a Genome-wide scan. It will hold a novel classification using Artificial Intelligence techniques highlighting the difference between the two groups at the level of polymorphism. Our phenotypic and genetic analysis highlights that each group is unique.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bui, C., King, T., Proffit, W., Frazier-Bowers, S.: Phenotypic Characterization of Class IIIPatients, A Necessary Background for Genetic Analysis. Angle Orthodontist, 564–569 (2006)

    Google Scholar 

  2. El-Gheriani, A.A., et al.: Segregation Analysis of Mandibular Prognathism in Libya. J. Dent. Res. 82(7), 523–527 (2003)

    Article  Google Scholar 

  3. Horowitz, et al.: A cephalometric study of craniofacial variation in adult twins. Angle Orthodontist 30, 1–5 (1960)

    Google Scholar 

  4. Huang, C.M., et al.: Mandibular prognathism in the rabbit: discrimination between singlelocus and multifactorial models of inheritance. The Journal of Heredity 72(4), 296–298 (1981)

    Google Scholar 

  5. Jena, A., et al.: Class III malocclusion: Genetics or environment? A twins study. J. of Indian Society of Pedodontics and Preventive Dentistry 23(1), 27–30 (2005)

    Article  Google Scholar 

  6. Litton, S.F., Ackeramn, L.V., Isaacson, R.J., Shapiro, B.L.: A genetic study of Class III malocclusion. Am. J. Orthod. 58, 565–577 (1970)

    Article  Google Scholar 

  7. Mossey, P.A., et al.: The Heritability of Malocclusion: Part 1. Genetics, Principles and Terminology. British Journal of Orthodontics 26(3), 103–113 (1999)

    Article  Google Scholar 

  8. Mossey, P.A., et al.: The Heritability of Malocclusion: Part 2. The Influence of Genetics in Malocclusion. British Journal of Orthodontics 26(2), 195–203 (1999)

    Article  Google Scholar 

  9. Pereira, A., et al.: Association of GH and IGF-1 polymorphisms with growth traits in a synthetic beef cattle breed. Genetics and Molecular Biology 28(2) (2005)

    Google Scholar 

  10. Preising, M., et al.: On the effect of mutations of the fibroblast growth factor receptors as exemplified by three cases of craniosynostoses. Klin. Monatsbl Augenheilkd 220(10), 669–681 (2003)

    Article  Google Scholar 

  11. Machicek, S.L., et al.: Mandible Size and Prognathism of MEK1 Transgenic Achondroplastic Mice. Presentation at AADR Meeting (March 2007)

    Google Scholar 

  12. Nakasima, A., Ichinose, M., et al.: Hereditary factors in the craniofacial morphology of Angle’s Class II and Class III malocclusions. Am. J. Orthod. 82(2), 150–156 (1982)

    Article  Google Scholar 

  13. Ravassipour, D.B., Powell, C.M., et al.: Variation in dental and skeletal open bite malocclusion in humans with amelogenesis imperfecta. Archives of Oral Biology 50, 611–623 (2005)

    Article  Google Scholar 

  14. Singh, G.D., et al.: Craniofacial heterogeneity of prepubertal Korean and European-American subjects with Class III malocclusions: Procrustes, EDMA andcephalometric analyses. Int. J. Adult Orthod. Orthog. Surg. 13, 227–240 (1998a)

    Google Scholar 

  15. Sutter, N., et al.: A single IGF1 allele is a major determinant of small size in dogs. Science 316(5821), 112–115 (2007)

    Article  Google Scholar 

  16. Tamura, Y.: A kindred of familial acromegaly without evidence for linkage to MEN-1 locus. Endocr J. 49(4), 425–431 (2002)

    Article  Google Scholar 

  17. Townsend, G.C., Richards, L.C.: Twin and twinning, dentists and dentistry. Aust. Dent. J. 35, 317–327 (1990)

    Article  Google Scholar 

  18. Yagi, T., et al.: Surgical Orthodontic Correction of Acromegaly with Mandibular Prognathism. Angle Orthodontist 74(1), 125–131 (2004)

    Google Scholar 

  19. Yamaguchi, T., et al.: Genome-wide Linkage Analysis of Mandibular Prognathism in Korean and Japanese Patients. J. Dent. Res. 84(3), 255–259 (2005)

    Article  Google Scholar 

  20. Pinzón, C.I., De Paz, J.F., Navarro, M., Bajo, J., Julián, V., Corchado, J.M.: Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks. Applied Soft. Computing 11(7), 4384–4398 (2011)

    Article  Google Scholar 

  21. Saravanan, N., Cholairajana, S., Ramachandran, K.I.: Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique. Expert Systems with Applications 36(2-2), 3119–3135 (2009)

    Article  Google Scholar 

  22. Holte, R.C.: Very simple classification rules perform well on most commonly used datasets. Machine Learning, 63–91 (1993)

    Google Scholar 

  23. Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization, pp. 144–151. Morgan Kaufmann, San Mateo (1998)

    Google Scholar 

  24. Vogiatzis, D., Tsapatsoulis, N.: Active learning for microarray data. International Journal of Approximate Reasoning 47(1), 85–96 (2008)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marta Muñoz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Muñoz, M., Rodríguez, M., Rodríguez, M.E., Rodríguez, S. (2012). Genetic Evaluation of the Class III Dentofacial in Rural and Urban Spanish Population by AI Techniques. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28765-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28764-0

  • Online ISBN: 978-3-642-28765-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics