title: Sexual dimorphism in skeletal browridge and chin morphologies determined using a new quantitative method.
abstract: Qualitative methods of describing sexual dimorphism in discrete cranial traits have been criticized for their subjectivity and statistical limitations. However, researchers have yet to be able to accurately capture the morphology of these individual traits using traditional metric techniques. This article presents a method to quantify morphological variation in the skeletal browridge and chin using 3D surface laser scans. Browridge and chin regions are isolated from the skull using objectively defined landmarks and planes. Region areas and volumes are used to quantify absolute and relative size, while semilandmarks along transects are used for more detailed morphometric analyses. An intraobserver error study indicates high repeatability of the method. Application of the method is demonstrated on a sample of US males and females of black and white ancestries. Results suggest significant effects of both sex and ancestry on brow and chin morphologies and are consistent with traditional qualitative descriptions. Our results indicate that the method can accurately and reliably quantify browridge and chin morphologies, providing a tool to objectively describe and statistically analyze these traditionally qualitative discrete cranial traits.
authors.affiliation: Center for Functional Anatomy and Evolution, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. hmgarvin@gmail.com
authors.forename: Heather M
authors.initials: HM
authors.lastname: Garvin
authors.forename: Christopher B
authors.initials: CB
authors.lastname: Ruff
mesh_terms: D000704:Analysis of Variance; D000885:Anthropology, Physical; D044383:Black People; D002508:Cephalometry / Q000379:methods*; D002680:Chin / Q000033:anatomy & histology*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D025341:Principal Component Analysis; D012727:Sex Characteristics; D054881:Sex Determination by Skeleton / Q000379:methods*; D012886:Skull / Q000033:anatomy & histology*; D014481:United States; D044465:White People; D001741:Black or African American