Evidence map›Paper›PMID 42507154›Full record

ArticleInternational journal of legal medicine2026

Population specificity in mandibular sexual dimorphism: validation and development of forensic models for application in the contemporary Malaysian population.

Choy Ker Woon, Zuzana Obertova, Ambika Flavel, Lauren Swift, Ng Wei Lin, Eric Chung, Daniel Franklin

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Choy Ker WoonDepartment of Anatomy, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor, 47000, Malaysia. 00116525@uwa.edu.au.ORCID http://orcid.org/0000-0002-8432-9035
Zuzana ObertovaCentre for Forensic Anthropology, School of Social Sciences, The University of Western Australia, Crawley Western Australia, 6009, Australia.ORCID http://orcid.org/0000-0002-5847-2567
Ambika FlavelCentre for Forensic Anthropology, School of Social Sciences, The University of Western Australia, Crawley Western Australia, 6009, Australia.ORCID http://orcid.org/0000-0002-5565-7224
Lauren SwiftCentre for Forensic Anthropology, School of Social Sciences, The University of Western Australia, Crawley Western Australia, 6009, Australia.ORCID http://orcid.org/0000-0002-6669-8320
Ng Wei LinDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0003-1589-9824
Eric ChungDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0001-8141-4544
Daniel FranklinCentre for Forensic Anthropology, School of Social Sciences, The University of Western Australia, Crawley Western Australia, 6009, Australia.ORCID http://orcid.org/0000-0003-2605-1343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSex estimation is a critical part of the forensic anthropological assessment. The mandible, due to its robust nature and sexually dimorphic traits, is often a alternative region for sex estimation, particularly in cases where other skeletal are incomplete or absent. Population-specific studies are necessary to refine and enhance the accuracy of forensic methodologies. This study, therefore, aims to quantify mandibular sexual dimorphism and explore population variances, validate existing discriminant functions, and develop novel models for sex estimation specific to the Malaysian population. METHODOLOGY: The sample comprised cranial multi-detector computed tomographic scans of 213 male and 202 female Malaysian individuals. Following 3D volume rendering, nine mandibular landmarks were acquired using OsiriX, from which a total of 10 linear inter-landmark and one angular measurement were calculated. The data were then analysed using descriptive statistics and discriminant function analyses employing jackknife validations of classification results.

resultsAll measurements were sexually dimorphic except for the mandibular angle. Bi-condylar breadth, ramus height, maximum mandibular length, and bi-coronoid breadth were the most dimorphic. Application of foreign discriminant functions to the Malaysian sample resulted in reduced accuracy and a greater sex bias compared to the original studies. The Malaysian specific univariate and multivariate discriminant functions ranged from 62.7 to 83.60% classification accuracy with associated 0.06 to -5.01% sex bias values.

conclusionThe findings emphasize the importance of validating and developing population-specific mandibular models for accurate sex estimation in the contemporary Malaysian population, while future research should expand multi-ethnic datasets to further enhance forensic identification reliability.

Indexed as

Forensic anthropologyMalaysia populationMandiblePopulation-specific standardsSex estimation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.