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Phenotype–genotype correlations of facial width and height proportions in patients with Class II malocclusion
Author(s) -
Moreno Uribe L. M.,
Ray A.,
Blanchette D. R.,
Dawson D. V.,
Southard T. E.
Publication year - 2015
Publication title -
orthodontics and craniofacial research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 55
eISSN - 1601-6343
pISSN - 1601-6335
DOI - 10.1111/ocr.12084
Subject(s) - principal component analysis , malocclusion , biology , phenotype , procrustes analysis , orthodontics , mathematics , genetics , medicine , gene , statistics , geometry
Structured Abstract Objectives To characterize soft‐tissue facial height and width variation in Class II malocclusion and test for correlations with genes HMGA2 , AJUBA , and ADK . Setting and sample population Nine facial proportions were estimated from 2 D frontal repose photographs of 330 Caucasian adults with Class II malocclusion. Material and methods After adjustments for age and gender, the facial proportions were submitted to a principal component analyses ( PCA ). The most meaningful phenotypic variations were correlated with SNP s rs7924176 ( ADK ), rs17101923 ( HMGA2 ), and rs997154 ( AJUBA ) genotyped in 106 individuals. Results Principal component analyses resulted in four principal components ( PC s), which explained 75% of total variation. PC 1 captured variation in the intercanthus distance and explained 28% of total variation. PC 2 explained 21% of the variations in facial taper and facial index. PC 3 explained 14% and reflected variations in the vertical dimension of the lower face. PC 4 explained 12% and captured variations in distance between the eyes, width of the commissures, and the length of the superior aspect of the lower face height corresponding to the vertical dimension of the philtrum of the upper lip. A suggestive association ( p < 0.05) was observed between PC 4 and rs997154 corroborating the role of AJUBA in variation of facial dimensions. Conclusion 2 D frontal photographs can be used to derive quantitative measures of soft‐tissue phenotypes that are of clinical relevance. The methods described are suitable for discovery and replication of associations between genotypes and malocclusion phenotypes.