ArticleGenomics & informatics2013
Heritabilities of facial measurements and their latent factors in korean families.
Article in Genomics & informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Genetic influences on dentognathic morphology in the Jirel population of Nepal.Anatomical record (Hoboken, N.J. : 2007) · 2022Article
- Expanding the Classic Facial Canons: Quantifying Intercanthal Distance in a Diverse Patient Population.Plastic and reconstructive surgery. Global open · 2022Article
- Influence of heritability on craniofacial soft tissue characteristics of monozygotic twins, dizygotic twins, and their siblings using Falconer's method and principal components analysis.Korean journal of orthodontics · 2019Article
- Spatially Dense 3D Facial Heritability and Modules of Co-heritability in a Father-Offspring Design.Frontiers in genetics · 2018Article
- Facial Anthropometric Norms among Kosovo - Albanian Adults.Acta stomatologica Croatica · 2017Article
- Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping.Scientific reports · 2017Article
- Genetic and Environmental Contributions to Facial Morphological Variation: A 3D Population-Based Twin Study.PloS one · 2016Article
- Establishing a multidisciplinary context for modeling 3D facial shape from DNA.PLoS genetics · 2014Article
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Authors and funding
11 authors.
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Abstract
Genetic studies on facial morphology targeting healthy populations are fundamental in understanding the specific genetic influences involved; yet, most studies to date, if not all, have been focused on congenital diseases accompanied by facial anomalies. To study the specific genetic cues determining facial morphology, we estimated familial correlations and heritabilities of 14 facial measurements and 3 latent factors inferred from a factor analysis in a subset of the Korean population. The study included a total of 229 individuals from 38 families. We evaluated a total of 14 facial measurements using 2D digital photographs. We performed factor analysis to infer common latent variables. The heritabilities of 13 facial measurements were statistically significant (p < 0.05) and ranged from 0.25 to 0.61. Of these, the heritability of intercanthal width in the orbital region was found to be the highest (h (2) = 0.61, SE = 0.14). Three factors (lower face portion, orbital region, and vertical length) were obtained through factor analysis, where the heritability values ranged from 0.45 to 0.55. The heritability values for each factor were higher than the mean heritability value of individual original measurements. We have confirmed the genetic influence on facial anthropometric traits and suggest a potential way to categorize and analyze the facial portions into different groups.
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