Literature DB >> 7786228

Genetic and environmental influences on facial profile.

C Vanco1, K Kasai, R Sergi, L C Richards, G C Townsend.   

Abstract

Observed variation in facial morphology results from the influences of both genetic and environmental factors. To investigate the role of genetic influences on variation in facial profile, lateral photographs of 23 male and 19 female monozygous (MZ), and 15 male and 22 female dizygous (DZ) twin pairs were selected from the records of the South Australian Twin Study. Soft tissue landmarks and facial profiles were identified, traced and digitized. Linear and angular measures defined by the landmarks were calculated and a series of Fourier functions derived to describe the facial profiles. These Fourier amplitudes were interpreted in terms of the specific regions which they represented. Correlations within MZ pairs were consistently higher than within DZ pairs for both the facial dimensions and the Fourier amplitudes, providing evidence of significant genetic contribution to facial convexity, facial height and facial depth. Variability in nose and lip morphology appeared to be under stronger environmental influence.

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Mesh:

Year:  1995        PMID: 7786228     DOI: 10.1111/j.1834-7819.1995.tb03124.x

Source DB:  PubMed          Journal:  Aust Dent J        ISSN: 0045-0421            Impact factor:   2.291


  3 in total

1.  BMAL1 deficiency promotes skeletal mandibular hypoplasia via OPG downregulation.

Authors:  Xin Zhou; Ran Yu; Yanlin Long; Jiajia Zhao; Shaoling Yu; Qingming Tang; Lili Chen
Journal:  Cell Prolif       Date:  2018-08-17       Impact factor: 6.831

2.  Candidate Gene Analyses of Skeletal Variation in Malocclusion.

Authors:  C S G da Fontoura; S F Miller; G L Wehby; B A Amendt; N E Holton; T E Southard; V Allareddy; L M Moreno Uribe
Journal:  J Dent Res       Date:  2015-04-24       Impact factor: 6.116

3.  Influence of heritability on craniofacial soft tissue characteristics of monozygotic twins, dizygotic twins, and their siblings using Falconer's method and principal components analysis.

Authors:  Jeongmin Song; Hwa Sung Chae; Jeong Won Shin; Joohon Sung; Yun-Mi Song; Seung-Hak Baek; Young Ho Kim
Journal:  Korean J Orthod       Date:  2018-12-19       Impact factor: 1.372

  3 in total

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