Seth M Weinberg1, Trish E Parsons1, Mary L Marazita1, Brion S Maher2. 1. Center for Craniofacial and Dental Genetics, Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA. 2. Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Abstract
INTRODUCTION: Previous research suggests that aspects of facial surface morphology are heritable. Traditionally, heritability studies have used a limited set of linear distances to quantify facial morphology and often employ statistical methods poorly designed to deal with biological shape. In this preliminary report, we use a combination of 3D photogrammetry and landmark-based morphometrics to explore which aspects of face shape show the strongest evidence of heritability in a sample of twins. METHODS: 3D surface images were obtained from 21 twin pairs (10 monozygotic, 11 same-sex dizygotic). Thirteen 3D landmarks were collected from each facial surface and their coordinates subjected to geometric morphometric analysis. This involved superimposing the individual landmark configurations and then subjecting the resulting shape coordinates to a principal components analysis. The resulting PC scores were then used to calculate rough narrow-sense heritability estimates. RESULTS: Three principal components displayed evidence of moderate to high heritability and were associated with variation in the breadth of orbital and nasal structures, upper lip height and projection, and the vertical and forward projection of the root of the nose due to variation in the position of nasion. CONCLUSIONS: Aspects of facial shape, primarily related to variation in length and breadth of central midfacial structures, were shown to demonstrate evidence of strong heritability. An improved understanding of which facial features are under strong genetic control is an important step in the identification of specific genes that underlie normal facial variation.
INTRODUCTION: Previous research suggests that aspects of facial surface morphology are heritable. Traditionally, heritability studies have used a limited set of linear distances to quantify facial morphology and often employ statistical methods poorly designed to deal with biological shape. In this preliminary report, we use a combination of 3D photogrammetry and landmark-based morphometrics to explore which aspects of face shape show the strongest evidence of heritability in a sample of twins. METHODS: 3D surface images were obtained from 21 twin pairs (10 monozygotic, 11 same-sex dizygotic). Thirteen 3D landmarks were collected from each facial surface and their coordinates subjected to geometric morphometric analysis. This involved superimposing the individual landmark configurations and then subjecting the resulting shape coordinates to a principal components analysis. The resulting PC scores were then used to calculate rough narrow-sense heritability estimates. RESULTS: Three principal components displayed evidence of moderate to high heritability and were associated with variation in the breadth of orbital and nasal structures, upper lip height and projection, and the vertical and forward projection of the root of the nose due to variation in the position of nasion. CONCLUSIONS: Aspects of facial shape, primarily related to variation in length and breadth of central midfacial structures, were shown to demonstrate evidence of strong heritability. An improved understanding of which facial features are under strong genetic control is an important step in the identification of specific genes that underlie normal facial variation.
Entities:
Keywords:
3D stereophotogrammetry; face shape; geometric morphometrics; heritability; twins
Authors: Lavinia Paternoster; Alexei I Zhurov; Arshed M Toma; John P Kemp; Beate St Pourcain; Nicholas J Timpson; George McMahon; Wendy McArdle; Susan M Ring; George Davey Smith; Stephen Richmond; David M Evans Journal: Am J Hum Genet Date: 2012-02-16 Impact factor: 11.025
Authors: Anna M Hardin; Ryan P Knigge; Dana L Duren; Sarah Williams-Blangero; Janardan Subedi; Michael C Mahaney; Richard J Sherwood Journal: Anat Rec (Hoboken) Date: 2022-01-11 Impact factor: 2.227
Authors: Markus A de Jong; Pirro Hysi; Tim Spector; Wiro Niessen; Maarten J Koudstaal; Eppo B Wolvius; Manfred Kayser; Stefan Böhringer Journal: Sci Rep Date: 2018-01-08 Impact factor: 4.379
Authors: Kaustubh Adhikari; Macarena Fuentes-Guajardo; Mirsha Quinto-Sánchez; Javier Mendoza-Revilla; Juan Camilo Chacón-Duque; Victor Acuña-Alonzo; Claudia Jaramillo; William Arias; Rodrigo Barquera Lozano; Gastón Macín Pérez; Jorge Gómez-Valdés; Hugo Villamil-Ramírez; Tábita Hunemeier; Virginia Ramallo; Caio C Silva de Cerqueira; Malena Hurtado; Valeria Villegas; Vanessa Granja; Carla Gallo; Giovanni Poletti; Lavinia Schuler-Faccini; Francisco M Salzano; Maria-Cátira Bortolini; Samuel Canizales-Quinteros; Michael Cheeseman; Javier Rosique; Gabriel Bedoya; Francisco Rothhammer; Denis Headon; Rolando González-José; David Balding; Andrés Ruiz-Linares Journal: Nat Commun Date: 2016-05-19 Impact factor: 14.919