Literature DB >> 22154439

Zygomaticomaxillary suture shape analyzed with digital morphometrics: reassessing patterns of variation in American Indian and European populations.

Sabrina B Sholts1, Sebastian K T S Wärmländer.   

Abstract

Typological classification of human zygomaticomaxillary suture (ZMS) shape is often used in forensic assessment of ancestry, following earlier studies reporting higher frequencies of "angled" sutures among American Indians and higher frequencies of "curved" sutures among Caucasians. In this paper we present a new method of digital morphometrics to quantify and compare ZMS shape in 60 American Indian and 60 European crania. Suture outlines were recorded as three-dimensional (3D) contours on digital models of adult male and female crania created with a portable 3D laser scanner. Each contour was represented by about four hundred point coordinates, which were transformed via Fourier analysis into amplitude coefficients suitable for use in linear discriminant analysis. Discriminant functions were created that accurately predicted group membership for 83% of the crania in the sample, after leave-one-out cross-validation. The results were compared with traditional typological classifications based on visual evaluation of ZMS shape, and the contour-based method was found to be more effective than the typological approach. However, the distribution of ZMS types within the two sample groups did not conform to previously reported patterns. This discrepancy indicates that ZMS shape may reflect not only genetic factors, but also environmental factors such as diet and stress. In addition, some evidence for sexual dimorphism in the zygomaticomaxillary complex was observed. Based on these findings, we recommend caution when using ZMS shape analysis in forensic ancestry determination.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22154439     DOI: 10.1016/j.forsciint.2011.11.016

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

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Authors:  F Angelieri; A C Ruellas; M S Yatabe; L H S Cevidanes; L Franchi; C Toyama-Hino; H J De Clerck; T Nguyen; J A McNamara
Journal:  Orthod Craniofac Res       Date:  2017-06-29       Impact factor: 1.826

Review 2.  Evaluating osteological ageing from digital data.

Authors:  Chiara Villa; Jo Buckberry; Niels Lynnerup
Journal:  J Anat       Date:  2016-09-13       Impact factor: 2.610

3.  Zygomaticomaxillary suture maturation: A predictor of maxillary protraction? Part I - A classification method.

Authors:  F Angelieri; L Franchi; L H S Cevidanes; C T Hino; T Nguyen; J A McNamara
Journal:  Orthod Craniofac Res       Date:  2017-05       Impact factor: 1.826

4.  Tracing social interactions in Pleistocene North America via 3D model analysis of stone tool asymmetry.

Authors:  Sabrina B Sholts; Joseph A M Gingerich; Stefan Schlager; Dennis J Stanford; Sebastian K T S Wärmländer
Journal:  PLoS One       Date:  2017-07-12       Impact factor: 3.240

Review 5.  Evaluation of ancestry from human skeletal remains: a concise review.

Authors:  Eugénia Cunha; Douglas H Ubelaker
Journal:  Forensic Sci Res       Date:  2019-12-23

6.  Sagittal suture morphological variation in human archaeological populations.

Authors:  Olivia Cheronet; Abigail Ash; Alexandra Anders; János Dani; László Domboróczki; Eva Drozdova; Michael Francken; Marija Jovanovic; Lidija Milasinovic; Ildiko Pap; Pál Raczky; Maria Teschler-Nicola; Zdeněk Tvrdý; Joachim Wahl; Gunita Zariņa; Ron Pinhasi
Journal:  Anat Rec (Hoboken)       Date:  2021-04-05       Impact factor: 2.227

  6 in total

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