Systematic Review on the Genetic Factors Associated with Skeletal Class II Malocclusion

George, Ashwin Mathew; Felicita, A. Sumathi; Tania, S D Milling; Priyadharsini, J. Vijayashree

doi:10.4103/ijdr.ijdr_59_20

Cited by 13 publications

(14 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Серед поширених етіологічних чинників є генетичний фактор [2], ротовий тип дихання [3] та інші шкідливі дитячі звички.…”

Section: вступunclassified

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

Vyzhenko

2024

Act. Probl. of the Modern Med.

View full text Add to dashboard Cite

In instances of a distal bite, significant variability exists in the angles of inclination of frontal teeth, potentially impacting the condition of the alveolar bone, soft tissue profile of the face, and the aesthetics of the smile. The aim of this study is to establish correlations between sagittal, vertical, and dento-alveolar cephalometric indicators, and to assess which skeletal cephalometric variables in Class II skeletal patterns influence the variability of changes in the dento-alveolar complex. Materials and methods. A total of 47 cephalograms from patients with II class according to Engle were analyzed. Eighteen cephalometric measurements were performed using the following methods: SNA, SNB, ANB, SN_Ba, SN_Pg, NL_NSL, ML_NSL, NL_ML, Facial axis, PFH_AFH, the sum of Bjork angles, Gonian angle, I1_NL, I1_NA, i1_ML, i1_NB, i1_APg, I1_i1 license program "Audax Ceph" v. 6.6. A total of 846 measurements were made. Results. Class II bite pathology is characterized by prognathism of the upper jaw (increase in the SNA angle) and distal displacement of the lower jaw (decrease in the SNB, SN_Pg angles). Vertical parameters indicate a predominantly neutral type of growth. The average indicators of the inclination of the upper incisors indicate their slight retrusion. Lower incisors are characterized by a vestibular inclination. The most significant correlations of the angle i1_ML with indicators PFH_AFH (Ро=.513**, р=0), ML_NSL (Ро=-.512**, р=0), NL_ML (Ро=-.434**, р=0.002), Bjork (Ро=-.512**, р=0). Significant correlations between the incisal angles of the upper and lower jaws indicate their significant variability. Conclusions. The growth of the facial skeleton in the vertical and sagittal planes is related to the position of the incisors of the upper and lower jaws, which determines the impact on the morphology of bone tissue and facial aesthetics. Considering the interrelationships between parameters is an essential component for achieving successful functional and aesthetic outcomes in orthodontic treatment.

show abstract

Section: вступunclassified

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

Vyzhenko

2024

Act. Probl. of the Modern Med.

View full text Add to dashboard Cite

show abstract

“…Previous studies de ned malocclusion is a complicated disorder produced by the combination of multiple factors, such as genetics, environment, ethnic factors, nonnutritive sucking habits, impaired nasal breathing, and functional atrophy of the maxilla [6, [9][10][11][12]. Several genes were reported earlier and found to be associated with SCIIMO development, including FGFR2, MSX1, MATN1, MYOH1, ACTN3, GHR, KAT6B, HDAC4, and AJUBA [13]. Furthermore, it is suggested that functional alterations, such as temporomandibular disorders (TMD), are more prevalent in SCIIMO [14].…”

Section: Introductionmentioning

confidence: 99%

Lateral Cephalometric Parameters Variations and Machine Learning Models Among Skeletal Class II & III Malocclusion of Arab Orthodontic Patients

Midlej,

Watted,

Awadi

et al. 2024

Preprint

View full text Add to dashboard Cite

Background The World Health Organization considers malocclusion one of the most essential oral health problems. This disease influences various aspects of patients' health and well-being. Therefore, making it easier and more accurate to understand and diagnose patients with skeletal malocclusions is necessary.Objectives The main objective of this research is to reveal novel knowledge concerning the cephalometric parameters among Arab patients, who are citizens of Israel, which are crucial for skeletal deformities classes II and III diagnosis. We compared the differences between the subgroups of gender (male and female) and age for each cephalometric parameter. Furthermore, we examined the correlation between these parameters among the different groups. Finally, we conducted a principal component analysis to detect the most valuable parameters to predict classes II and III and applied machine learning models.Methods This quantitative, observational study is based on data from the Orthodontic Center, Jatt, Israel. The experimental data consisted of the coded records of 583 Arab patients who were diagnosed as Class II or III according to the Calculated_ANB.Results The group comparison analysis showed that the most significant differences are available between different classes. Nevertheless, unlike many previous studies, we found differences between males and females within the same class. This was demonstrated in the parameters including NL-NSL angle, PFH/AFH ratio, SNB angle, SN-Pg angle, and ML-NSL angle of class III patients, but not in class II patients. Interestingly, this ethnic group of patients also revealed many differences in the different age groups within the same class; these differences were significant in the parameters NL-ML angle, ML-NSL angle, PFH/AFH ratio, facial axis, gonial angle, + 1/NA angle, + 1/NA (mm) in class II age groups, and + 1/NL angle, + 1/SNL angle, + 1/NA (mm), Wits appraisal, and interincisal angle the results showed that the Calculated_ANB correlated with many other cephalometric parameters when comparing two groups that belong to different classes. The Principal Component Analysis (PCA) results showed that we explained about 67% of the variation within the first two PCs. Finally, we used all parameters for the general Machine Learning (ML) model to calculate the importance of each parameter to the model. The stepwise forward Machine Learning models demonstrated the ability of the parameters Wits appraisal and SNB angle to predict the classification with 0.93 accuracy, compared to 0.95 accuracy when the general model predicted class II and III classifications.Conclusion There is a significant relationship between many cephalometric parameters within the different groups of gender and age. This study highlights the high accuracy and power of Wits appraisal and the SNB angle in evaluating the classification of orthodontic malocclusion.

show abstract

“…Some of the genes that contribute to Skeletal Class II malocclusions include ACTN3, GHR, FGFR2, MSX1, MATN1, MYOH1, KAT6B, HDAC4, and AJUBA. [3] Among all the above-mentioned genes, recently more focus has been given to the ACTN3 gene variants which contribute to Skeletal Class II malocclusions in human subjects based on the Sagittal and Vertical dimensions resulting in variation in the facial height proportions caused due to transcription factors controlling muscle morphology. [4] The present review was conducted to highlight the significance of the ACTN3 gene in human masticatory muscle development, especially the masseter muscle and its variations which plays a key role in determining facial height.…”

Section: Introductionmentioning

confidence: 99%

ACTN3 gene variations in various Ethnic populations and its association with Malocclusion – A Literature Review

et al. 2023

View full text Add to dashboard Cite

Genetic etiology of Skeletal Malocclusion has been explored extensively over recent years with the advent of advances in molecular technologies. Studies have been reported that the masticatory muscles regulate skeletal development and few recent works of literature report that the muscle growth regulators influence the facial proportions in sagittal and vertical dimensions in Skeletal Class II malocclusion. This review is a humble attempt to highlight the role of one such muscle gene known as ACTN3 and its association with Skeletal Class II malocclusion.

show abstract

Systematic Review on the Genetic Factors Associated with Skeletal Class II Malocclusion

Cited by 13 publications

References 15 publications

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

Lateral Cephalometric Parameters Variations and Machine Learning Models Among Skeletal Class II & III Malocclusion of Arab Orthodontic Patients

ACTN3 gene variations in various Ethnic populations and its association with Malocclusion – A Literature Review

Contact Info

Product

Resources

About

Systematic Review on the Genetic Factors Associated with Skeletal Class II Malocclusion

Cited by 13 publications

References 15 publications

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

The Relationship Between Skeletal and Dento-Alveolar Indicators in Class Ii Malocclusion

Lateral Cephalometric Parameters Variations and Machine Learning Models Among Skeletal Class II &amp; III Malocclusion of Arab Orthodontic Patients

ACTN3 gene variations in various Ethnic populations and its association with Malocclusion – A Literature Review

Contact Info

Product

Resources

About

Lateral Cephalometric Parameters Variations and Machine Learning Models Among Skeletal Class II & III Malocclusion of Arab Orthodontic Patients