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Meeting patient desires for enhanced facial esthetics requires that providers have standardized and objective methods to measure esthetics. The authors evaluated the effects of objective 3-dimensional (3D) facial shape and asymmetry measurements derived from 3D facial images on perceptions of facial attractiveness.The 3D facial images of 313 adults in Iowa were digitized with 32 landmarks, and objective 3D facial measurements capturing symmetric and asymmetric components of shape variation, centroid size, and fluctuating asymmetry were obtained from the 3D coordinate data using geo-morphometric analyses. Frontal and profile images of study participants were rated for facial attractiveness by 10 volunteers (5 women and 5 men) on a 5-point Likert scale and a visual analog scale. Multivariate regression was used to identify the effects of the objective 3D facial measurements on attractiveness ratings.Several objective 3D facial measurements had marked effects on attractiveness ratings. Shorter facial heights with protrusive chins, midface retrusion, faces with protrusive noses and thin lips, flat mandibular planes with deep labiomental folds, any cants of the lip commissures and floor of the nose, larger faces overall, and increased fluctuating asymmetry were rated as significantly (P .001) less attractive.Perceptions of facial attractiveness can be explained by specific 3D measurements of facial shapes and fluctuating asymmetry, which have important implications for clinical practice and research.

Recent advances in genomics methodologies, in particular the availability of next-generation sequencing approaches have made it possible to identify risk loci throughout the genome, in particular the exome. In the current study, we present findings from an exome study conducted in five affected individuals of a multiplex family with cleft palate only.The GEnome MINIng (GEMINI) pipeline was used to functionally annotate the single nucleotide polymorphisms, insertions and deletions. Filtering methods were applied to identify variants that are clinically relevant and present in affected individuals at minor allele frequencies (≤1%) in the 1000 Genomes Project single nucleotide polymorphism database, Exome Aggregation Consortium, and Exome Variant Server databases. The bioinformatics tool Systems Tool for Craniofacial Expression-Based Gene Discovery was used to prioritize cleft candidates in our list of variants, and Sanger sequencing was used to validate the presence of identified variants in affected and unaffected relatives.Our analyses approach narrowed the candidates down to the novel missense variant in ARHGAP29 (GenBank: NM_004815.3, NP_004806.3;c.1654TC [p.Ser552Pro]. A functional assay in zebrafish embryos showed that the encoded protein lacks the activity possessed by its wild-type counterpart, and migration assays revealed that keratinocytes transfected with wild-type ARHGAP29 migrated faster than counterparts transfected with the p.Ser552Pro ARHGAP29 variant or empty vector (control).These findings reveal ARHGAP29 to be a regulatory protein essential for proper development of the face, identifies an amino acid that is key for this, and provides a potential new diagnostic tool.Birth Defects Research 109:27-37, 2017. © 2016 Wiley Periodicals, Inc.

Numerous lines of evidence point to a genetic basis for facial morphology in humans, yet little is known about how specific genetic variants relate to the phenotypic expression of many common facial features. We conducted genome-wide association meta-analyses of 20 quantitative facial measurements derived from the 3D surface images of 3118 healthy individuals of European ancestry belonging to two US cohorts. Analyses were performed on just under one million genotyped SNPs (Illumina OmniExpress+Exome v1.2 array) imputed to the 1000 Genomes reference panel (Phase 3). We observed genome-wide significant associations (p < 5 x 10−8) for cranial base width at 14q21.1 and 20q12, intercanthal width at 1p13.3 and Xq13.2, nasal width at 20p11.22, nasal ala length at 14q11.2, and upper facial depth at 11q22.1. Several genes in the associated regions are known to play roles in craniofacial development or in syndromes affecting the face: MAFB, PAX9, MIPOL1, ALX3, HDAC8, and PAX1. We also tested genotype-phenotype associations reported in two previous genome-wide studies and found evidence of replication for nasal ala length and SNPs in CACNA2D3 and PRDM16. These results provide further evidence that common variants in regions harboring genes of known craniofacial function contribute to normal variation in human facial features. Improved understanding of the genes associated with facial morphology in healthy individuals can provide insights into the pathways and mechanisms controlling normal and abnormal facial morphogenesis., Author Summary There is a great deal of evidence that genes influence facial appearance. This is perhaps most apparent when we look at our own families, since we are more likely to share facial features in common with our close relatives than with unrelated individuals. Nevertheless, little is known about how variation in specific regions of the genome relates to the kinds of distinguishing facial characteristics that give us our unique identities, e.g., the size and shape of our nose or how far apart our eyes are spaced. In this paper, we investigate this question by examining the association between genetic variants across the whole genome and a set of measurements designed to capture key aspects of facial form. We found evidence of genetic associations involving measures of eye, nose, and facial breadth. In several cases, implicated regions contained genes known to play roles in embryonic face formation or in syndromes in which the face is affected. Our ability to connect specific genetic variants to ubiquitous facial traits can inform our understanding of normal and abnormal craniofacial development, provide potential predictive models of evolutionary changes in human facial features, and improve our ability to create forensic facial reconstructions from DNA.

In order to understand the link between the genetic background of patients and wound clinical outcomes, it is critical to have a reliable method to assess the phenotypic characteristics of healed wounds. In this study, we present a novel imaging method that provides reproducible, sensitive and unbiased assessments of post-surgical scarring. We used this approach to investigate the possibility that genetic variants in orofacial clefting genes are associated with suboptimal healing. Red-green-blue (RGB) digital images of post-surgical scars of 68 patients, following unilateral cleft lip repair, were captured using the 3dMD image system. Morphometric and colorimetric data of repaired regions of the philtrum and upper lip were acquired using ImageJ software and the unaffected contralateral regions were used as patient-specific controls. Repeatability of the method was high with interclass correlation coefficient score > 0.8. This method detected a very significant difference in all three colors, and for all patients, between the scarred and the contralateral unaffected philtrum (P ranging from 1.20−05 to 1.95−14). Physicians’ clinical outcome ratings from the same images showed high inter-observer variability (overall Pearson coefficient = 0.49) as well as low correlation with digital image analysis results. Finally, we identified genetic variants in TGFB3 and ARHGAP29 associated with suboptimal healing outcome.

A supplement to this article contains tables of detailed descriptive statistics and ANCOVA results for each age group (Tables S1â S6) as well as plots of unadjusted means and associated 95Â % confidence intervals for each linear distance as a function of sex and age (Figures S1â S29).

A supplement to this article contains tables of detailed descriptive statistics and ANCOVA results for each age group (Tables S1â S6) as well as plots of unadjusted means and associated 95Â % confidence intervals for each linear distance as a function of sex and age (Figures S1â S29).