Contribution of Genetics and Environment to Craniofacial Anthropometric Phenotypes in Belgian Nuclear Families
Abstract
In this study we estimate relative genetic and environmental influences on head-related anthropometric phenotypes. The subject group consisted of 119 nuclear families living in Brussels, Belgium, and included 238 males and 236 females, ages 17 to 72 years. Two factor analyses with varimax rotation (the first one related to facial measurements and the second one to overall head morphology) were used to analyze 14 craniofacial size traits. The resulting four synthetic traits [HFCF, VFCF, HDF1, and HDF2-horizontal (breadth) and vertical (height) facial factors and two head horizontal (breadth) factors, respectively] were used as summary variables. Maximum heritabilities (H2) were estimated for all studied traits, and variance components analysis was applied to determine the contribution of genetics and environment on the four craniofacial factors. In addition, we examined the covariations between the face (HFCF and VFCF) and head-related factors (HDF1 and HDF2), separately. Quantitative genetic analysis showed that HFCF, VFCF, HDF1, and HDF2 variation was appreciably attributable to additive genetic effects, with heritability (h2) estimates of 67.62%, 54.97%, 70.76%, and 65.05%, respectively. The three variance components reflecting a shared familial environment were nonsignificant for these four phenotypes. Bivariate analysis revealed significant additive and residual correlations for both pair of traits. The results confirm the existence of a significant genetic component determining the four craniofacial synthetic traits, and common genetic and environmental effects shared by the two face-related phenotypes and by the head-related ones.
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Nose shape, cheekbone position, and lip curvature cluster in families and show up in distant relatives in ways that suggest large genetic effects.
“of the cheek bones, or curve of the lips, run strongly in families, appearing in distant relatives in patterns that are suggestive of large genetic effects.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [105]
Facial features are an example of traits that do not follow only blending or Mendelian inheritance.
“Granularity of traits is difficult to document, but facial features provide a good example of a suite of traits that do not simply follow either blending or Mendelian inheritance105.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [105]
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Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278 · see citing works
- Authors
- Jelenkovic, A., Poveda, A., Susanne, C., & Rebato, E.
- Affiliations
- University of the Basque Country (ES)
- Venue
- Human Biology
- Published
- 2008-12
- Volume
- 80
- Issue
- 6
- Pages
- 637-654
- ISSN
- 0018-7143 (ISSN-L)
- 1534-6617
- OpenAlex
- W2159169319
- Cited by
- 12
- References
- 31
- Citations by year
- 2025: 1 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 1 · 2013: 1 · 2012: 3
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Biology (publishedVersion)
- PubMed (publishedVersion)
- Human Biology (submittedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- BioOne Complete (BioOne) (submittedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Funders
- Eusko Jaurlaritza
- Topics
- Physical Sciences › Mathematics › Geometry and Topology › Morphological variations and asymmetry
- Health Sciences › Dentistry › Orthodontics › Orthodontics and Dentofacial Orthopedics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- craniofacial anthropometry, heritability, genetic and environmental factors, facial morphology, head morphology, nuclear family, additive genetic effects, Belgian population
- MeSH terms
- Adolescent, Adult, Aged, Anthropometry, Belgium, Environment, Factor Analysis, Statistical, Female, Genetics, Population, Head, Humans, Male, Middle Aged, Nuclear Family, Phenotype, Physiognomy, Inheritance Patterns, Body Size
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