Genetics in an orthodontic perspective

Varma, Gaurav; Harsha, Brian C.; Palla, Santosh; Sravan, S. P. Amulya; Raju, Jaya; Rajavardhan, K

doi:10.15713/ins.jcri.267

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…This will allow objective generation of three-dimensional models for advanced diagnosis and treatment planning whilst saving the time and efforts required for manual segmentation. 64 Growth and development of orofacial complex are influenced by the interaction of the genetic and environmental factors.…”

Section: Data Processingmentioning

confidence: 99%

“…Furthermore, various methods for automatic volumetric segmentation of CBCT images were developed using ML algorithms. This will allow objective generation of three‐dimensional models for advanced diagnosis and treatment planning whilst saving the time and efforts required for manual segmentation 64 …”

Section: Development Of Clinical Decision Support Systems (Cdsss)mentioning

confidence: 99%

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Clinical decision support systems in orthodontics: A narrative review of data science approaches

Turkestani

Bianchi

Deleat‐Besson

et al. 2021

Orthod Craniofacial Res

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Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (c) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.

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Section: Data Processingmentioning

confidence: 99%

Section: Development Of Clinical Decision Support Systems (Cdsss)mentioning

confidence: 99%

Clinical decision support systems in orthodontics: A narrative review of data science approaches

Turkestani

Bianchi

Deleat‐Besson

et al. 2021

Orthod Craniofacial Res

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show abstract

“…MSX1, MSX2, HOX, distal-less genes, OTX, goosecoid gene and PTHR are some of the genes that plays a key role in the craniofacial development. 1 An attractive or pleasing smile clearly enhances the acceptance of an individual in our society by improving the initial impression in interpersonal relationships. Differently from what some orthodontists consider, smile harmony is determined not only by the shape, position and color of teeth, but also by the gingival tissue.…”

Section: Introductionmentioning

confidence: 99%

The hereditary pattern of gummy smile- A cross sectional study

Jayaram¹,

Vaisakh²,

P³

et al. 2021

IJOHD

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When there is an exposure of gingival tissue of more than 2 mm while smiling is said to be gummy smile. There are various etiological factors that cause a gummy smile and there could be a relationship with heredity as an etiology for gummy smile. Aim: To evaluate the relationship between gummy smile and heredity. Materials and Methods: A sample of 100 patients of age between 10 to 25 years were selected based on the presence of a gummy smile of more than 2mm and the gummy smile was measured. Frontal photographs of patients with gummy smile of more than 2 mm were taken. Similarly, both the parents were also photographed. A detailed history of gummy smile running in the family for last two generations was recorded. The patients were then divided into two groups, namely, Group A (patients with gummy smile having a familial background) and Group B (patients with gummy smile not having a familial background). Results: From the study 48% of the patients had gummy smile with a familial etiology and 52% of the patients had gummy smile without familial etiology which indicates heredity is not a significant etiological factor for gummy smile. Conclusion: Eventhough a small percentage of patients did show a familial tendency of gummy smile, the majority of 52% of the subjects with gummy smile had no hereditary etiology, suggesting that the gummy smile did not exhibit hereditary pattern.

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“…In 1836, Frederick Kussel reported that malocclusion, both skeletal and dental, could be transmitted from one generation to another and also stated that chromosomal defects account for approximately 10% of all malocclusions. 1 The pioneering work of Gregor Johann Mendel initiated an interest in the field of genetics in the 19th century, and since then, genetics has been an essential part of the studies performed in various fields of biological and medical sciences. Since the 20th century, this branch of science has evolved through a series of era-based conceptual breakthroughs.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2020

Global Medical Genetics

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The development of craniofacial complex and dental structures is a complex and delicate process guided by specific genetic mechanisms. Genetic and environmental factors can influence the execution of these mechanisms and result in abnormalities. An insight into the mechanisms and genes involved in the development of orofacial and dental structures has gradually gained by pedigree analysis of families and twin studies as well as experimental studies on vertebrate models. The development of novel treatment techniques depends on in-depth knowledge of the various molecular or cellular processes and genes involved in the development of the orofacial complex. This review article focuses on the role of genes in the development of nonsyndromic orofacial, dentofacial variations, malocclusions, excluding cleft lip palate, and the advancements in the field of molecular genetics and its application to obtain better treatment outcomes.

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Genetics in an orthodontic perspective

Cited by 3 publications

References 11 publications

Clinical decision support systems in orthodontics: A narrative review of data science approaches

Clinical decision support systems in orthodontics: A narrative review of data science approaches

The hereditary pattern of gummy smile- A cross sectional study

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