Morphometric variations of three sub-adult populations in Malaysia using multi-slice computed tomography data
Abstract
Background: This study aimed to determine the differences in cranial measurements in three sub-adult populations in Malaysia using multi-slice computed tomography (MSCT) data.
Materials and methods: A total of 521 cranial MSCT datasets of Malaysian sub-adults (0–20 years old) consisting of Malay, Chinese, and Indian populations were analysed and constructed into three-dimensional (3D) cranial models using Mimics software version 21. Fourteen selected craniometric parameters were measured on the 3D models, adhering to the plane-to-plane protocol. All measurements were statistically analysed using discriminant function analysis.
Results: Cranial measurements such as maximum cranial width, biasteronic width, and occipital chord showed significant differences among Malays, Chinese, and Indians. In addition, a high similarity of the measurements between Chinese and Malays compared to Indians and Malays and Chinese and Indians was demonstrated. The highest classification accuracy was obtained by the age group of 10–12 years old, with Indians achieving the highest accuracy (72.2%), followed by Chinese (71.8%) and Malays (58.3%). The accuracy percentages between the pooled-sex and male/female formulas were relatively similar.
Conclusions: This study demonstrated the presence of morphometric variations among the three different sub-adult populations in Malaysia using MSCT datasets.
Keywords: morphometricsdiscriminant function analysissub-adultscraniumMalaysia
References
- Anderson PJ, Yong R, Surman TL, et al. Application of three-dimensional computed tomography in craniofacial clinical practice and research. Aust Dent J. 2014; 59 Suppl 1: 174–185.
- Buck TJ, Vidarsdottir US. A proposed method for the identification of race in sub-adult skeletons: a geometric morphometric analysis of mandibular morphology. J Forensic Sci. 2004; 49(6): 1159–1164.
- Corron LK, Broehl KA, Chu EY, et al. Agreement and error rates associated with standardized data collection protocols for skeletal and dental data on 3D virtual subadult crania. Forensic Sci Int. 2022; 334: 111272.
- Deng L, Hoh BP, Lu D, et al. Dissecting the genetic structure and admixture of four geographical Malay populations. Sci Rep. 2015; 5: 14375.
- Franklin D, Cardini A, Flavel A, et al. Concordance of traditional osteometric and volume-rendered MSCT interlandmark cranial measurements. Int J Legal Med. 2013; 127(2): 505–520.
- Green H, Curnoe D. Sexual dimorphism in southeast Asian crania: a geometric morphometric approach. Homo. 2009; 60(6): 517–534.
- Hatin WI, Nur-Shafawati AbR, Zahri MK, et al. HUGO Pan-Asian SNP Consortium. Population genetic structure of peninsular Malaysia Malay sub-ethnic groups. PLoS One. 2011; 6(4): e18312.
- Hayashi A, Pietrusewsky M. Discriminant function analysis of craniometric data for distinguishing Japanese and Filipino crania. Aust J Forensic Sci. 2022; 55(5): 621–644.
- Herrera MD, Tallman SD. Craniometric variation and ancestry estimation in two contemporary Caribbean populations. Forensic Sci Int. 2019; 305: 110013.
- Hisham S, Ibrahim M. Craniofacial measurements of Malaysian Malays, Chinese and Indians based on the analyses of post-mortem computed tomographic images. Aust J Forensic Sci. 2022; 56(2): 110–123.
- Kranioti EF, García-Donas JG, Can IO, et al. Ancestry estimation of three Mediterranean populations based on cranial metrics. Forensic Sci Int. 2018; 286: 265.e1–265.e8.
- Langley NR, Jantz LM, Ousley SD, Jantz RL, Milner G. Data collection procedures for forensic skeletal material 2.0. University of Tennessee and Lincoln Memorial University. 2016.
- Malaysia PaHCo. Population Distribution and Basic Demographic Characteristics 2020. https://www.mycensus.gov.my/ (20.08.2024).
- McIntosh K, Williams N, Anderson P, et al. A semi-automated protocol for craniometric analysis on the subadult cranial isosurface models. Forensic Imaging. 2020; 23: 200410.
- Noble J, Cardini A, Flavel A, et al. Geometric morphometrics on juvenile crania: exploring age and sex variation in an Australian population. Forensic Sci Int. 2019; 294: 57–68.
- Norhalifah HK, Syaza FH, Chambers GK, et al. The genetic history of Peninsular Malaysia. Gene. 2016; 586(1): 129–135.
- Pureepatpong Kongkasuriyachai N, Prasitwattanaseree S, Case D, et al. Craniometric estimation of ancestry in Thai and Japanese individuals. Aust J Forensic Sci. 2020; 54(3): 294–310.
- Ross AH, Ubelaker DH, Kimmerle EH. Implications of dimorphism, population variation, and secular change in estimating population affinity in the Iberian Peninsula. Forensic Sci Int. 2011; 206(1-3): 214.e1–214.e5.
- Smith HF, Ritzman T, Otárola-Castillo E, et al. A 3-D geometric morphometric study of intraspecific variation in the ontogeny of the temporal bone in modern Homo sapiens. J Hum Evol. 2013; 65(5): 479–489.
- Song GY, Li G, Lu WH, et al. Distortion and magnification of four digital cephalometric units. Niger J Clin Pract. 2019; 22(12): 1644–1653.
- St Hoyme LE, Iscan MY. Determination of sex and race: accuracy and assumptions. Reconstr Life Skeleton. 1989: 53–93.
- Tallman S. Cranial nonmetric sexual dimorphism and sex estimation in East and Southeast Asian individuals. Forensic Anthropol. 2019; 2(4).
- Tan S. Genetic relationshis among sixteen ethnic grous from Malaysia and Southeast Asia. In: Jin L, Knight M, Tan CC. ed. Genetic, Linguistic and Archaeological Perspectives on Human Diversity in Southeast Asia. World Scientific, Singapore 2001: 83–92.
- Ulijaszek SJ, Kerr DA. Anthropometric measurement error and the assessment of nutritional status. Br J Nutr. 1999; 82(3): 165–177.
- Ursi WJ, Trotman CA, McNamara JA, et al. Sexual dimorphism in normal craniofacial growth. Angle Orthod. 1993; 63(1): 47–56, doi: 10.1043/0003-3219(1993)063<0047:SDINCG>2.0.CO;2.
- Weinberg SM, Putz DA, Mooney MP, et al. Evaluation of non-metric variation in the crania of black and white perinates. Forensic Sci Int. 2005; 151(2-3): 177–185.
- Wong LP, Lai JKH, Saw WY, et al. Insights into the genetic structure and diversity of 38 South Asian Indians from deep whole-genome sequencing. PLoS Genet. 2014; 10(5): e1004377.
- Yong RYY, Lee LKH, Yap EPH. Y-chromosome STR haplotype diversity in three ethnic populations in Singapore. Forensic Sci Int. 2006; 159(2-3): 244–257.
