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

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.

[1]  S. Nakata,et al.  Hereditary factors in the craniofacial morphology of Angle's Class II and Class III malocclusions. , 1982, American journal of orthodontics.

[2]  J. McNamara,et al.  Craniofacial heterogeneity of prepubertal Korean and European-American subjects with Class III malocclusions: procrustes, EDMA, and cephalometric analyses. , 1998, The International journal of adult orthodontics and orthognathic surgery.

[3]  K. Takada,et al.  Surgical orthodontic correction of acromegaly with mandibular prognathism. , 2009, The Angle orthodontist.

[4]  Ian H. Witten,et al.  Generating Accurate Rule Sets Without Global Optimization , 1998, ICML.

[5]  H. Shimano,et al.  A kindred of familial acromegaly without evidence for linkage to MEN-1 locus. , 2002, Endocrine journal.

[6]  C. Powell,et al.  Variation in dental and skeletal open bite malocclusion in humans with amelogenesis imperfecta. , 2005, Archives of oral biology.

[7]  A. Narita,et al.  Genome-wide Linkage Analysis of Mandibular Prognathism in Korean and Japanese Patients , 2005, Journal of dental research.

[8]  G. Townsend,et al.  Twins and twinning, dentists and dentistry. , 1990, Australian dental journal.

[9]  Robert C. Holte,et al.  Very Simple Classification Rules Perform Well on Most Commonly Used Datasets , 1993, Machine Learning.

[10]  B. Maher,et al.  Segregation Analysis of Mandibular Prognathism in Libya , 2003, Journal of dentistry research.

[11]  P. Mossey.  The heritability of malocclusion: Part 1--Genetics, principles and terminology. , 1999, British journal of orthodontics.

[12]  Javier Bajo,et al.  Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacks , 2011, Appl. Soft Comput..

[13]  K. I. Ramachandran,et al.  Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique , 2009, Expert Syst. Appl..

[14]  L. Regitano,et al.  Association of GH and IGF-1 polymorphisms with growth traits in a synthetic beef cattle breed , 2005 .

[15]  R. Osborne,et al.  A Cephalometric Study Of Craniofacial Variation In Adult Twins , 2009 .

[16]  R. Isaacson,et al.  A genetic study of class III malocclusion , 1970 .

[17]  W. Proffit,et al.  Phenotypic characterization of Class III patients. , 2006, The Angle orthodontist.

[18]  Dimitrios Vogiatzis,et al.  Active learning for microarray data , 2008, Int. J. Approx. Reason..

[19]  B. Lorenz,et al.  Über die Wirkung von Mutationen der Fibroblastenwachstumsfaktorrezeptoren (FGFR) am Beispiel dreier Fälle mit Kraniosynostosen , 2003 .

[20]  C. Bustamante,et al.  A Single IGF1 Allele Is a Major Determinant of Small Size in Dogs , 2007, Science.

[21]  A. Jena,et al.  Class-III malocclusion: genetics or environment? A twins study. , 2005, Journal of the Indian Society of Pedodontics and Preventive Dentistry.

[22]  P. Mossey.  The heritability of malocclusion: part 2. The influence of genetics in malocclusion. , 1999, British journal of orthodontics.