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The application of traditional and geometric morphometric analyses for forensic quantification of sexual dimorphism: preliminary investigations in a Western Australian population

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Abstract

A current limitation of forensic practice in Western Australia is a lack of contemporary population-specific standards for biological profiling; this directly relates to the unavailability of documented human skeletal collections. With rapidly advancing technology, however, it is now possible to acquire accurate skeletal measurements from 3D scans contained in medical databases. The purpose of the present study, therefore, is to explore the accuracy of using cranial form to predict sex in adult Australians. Both traditional and geometric morphometric methods are applied to data derived from 3D landmarks acquired in CT-reconstructed crania. The sample comprises multi-detector computed tomography scans of 200 adult individuals; following 3D volume rendering, 46 anatomical landmarks are acquired using OsiriX (version 3.9). Centroid size and shape (first 20 PCs of the Procrustes coordinates) and the inter-landmark (ILD) distances between all possible pairs of landmarks are then calculated. Sex classification effectiveness of the 3D multivariate descriptors of size and shape and selected ILD measurements are assessed and compared; robustness of findings is explored using resampling statistics. Cranial shape and size and the ILD measurements are sexually dimorphic and explain 3.2 to 54.3 % of sample variance; sex classification accuracy is 83.5–88.0 %. Sex estimation using 3D shape appears to have some advantages compared to approaches using size measurements. We have, however, identified a simple and biologically meaningful single non-traditional linear measurement (glabella–zygion) that classifies Western Australian individuals according to sex with a high degree of expected accuracy (87.5–88 %).

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References

  1. SWGANTH (2011) The Scientific Working Group for Forensic Anthropology.http://www.swganth.org. Accessed 13 December 2011

  2. Franklin D, Flavel A, Kuliukas A, Cardini A, Marks MK, Oxnard CE, O’Higgins P (2011) Estimation of sex from sternal measurements in a Western Australian population. Forensic Sci Int. doi:10.1016/j.forsciint.2011.11.008

  3. Franklin D, Flavel A, Kuliukas A, Hart R, Marks MK (2012) The development of forensic anthropological standards in Western Australia. 64th annual meeting of the American Academy of Forensic Sciences. Atlanta, Georgia. February 20, 2012

  4. Kimmerle EH, Ross A, Slice D (2008) Sexual dimorphism in America: geometric morphometric analysis of the craniofacial region. J Forensic Sci 53:54–57

    Article  PubMed  Google Scholar 

  5. Franklin D, Freedman L, Milne N (2005) Sexual dimorphism and discriminant function sexing in indigenous South African crania. HOMO-J Comp Hum Biol 55:213–228

    Article  CAS  Google Scholar 

  6. Grivas CR, Komar DA (2008) Kumho, Daubert and the nature of scientific inquiry: implications for forensic anthropology. J Forensic Sci 53:771–776

    Article  PubMed  Google Scholar 

  7. Christensen AM, Crowder CM (2009) Evidentiary standards for forensic anthropology. J Forensic Sci 54:1211–1216

    Article  PubMed  Google Scholar 

  8. Verhoff MA, Ramsthaler F, Krahahn J, Deml U, Gille RJ, Grabherr S, Thali MJ, Kreutz K (2008) Digital forensic osteology—possibilities in cooperation with the Virtopsy® project. Forensic Sci Int 174:152–156

    Article  PubMed  Google Scholar 

  9. Ramsthaler F, Kettner M, Verhoff MA (2010) Digital forensic osteology: morphological sexing of skeletal remains using volume-rendered cranial CT scans. Forensic Sci Int 195:148–152

    Article  PubMed  Google Scholar 

  10. Kranioti EF, Nathena D, Michalodimitrakis M (2011) Sex estimation of the Cretan humerus: a digital radiometric study. Int J Legal Med 125:659–667

    Article  PubMed  Google Scholar 

  11. Hsiao JH, Tsai SM, Chou ST, Pan JY, Tseng YC, Chang HP, Chen HS (2010) Sex determination using discriminant function analysis in children and adolescents: a lateral cephalometric study. Int J Legal Med 124:155–160

    Article  PubMed  Google Scholar 

  12. Macaluso PJ (2011) Sex discrimination from the glenoid cavity in black South Africans: morphometric analyses of digital photographs. Int J Legal Med 125:773–778

    Article  PubMed  Google Scholar 

  13. Spradley MK, Jantz RL (2011) Sex estimation in forensic anthropology: skull versus postcranial elements. J Forensic Sci 56:289–296

    Article  PubMed  Google Scholar 

  14. Robinson MS, Bidmos MA (2009) The skull and humerus in the determination of sex: reliability of discriminant function equations. Forensic Sci Int 186:86.e1–86.e5

    Article  Google Scholar 

  15. Dabbs GR, Moore-Jansen PH (2010) A method of estimating sex using metric analysis of scapula. J Forensic Sci 55:199–152

    Article  Google Scholar 

  16. Klingenberg CP (2011) MorphoJ: an integrated software package for geometric morphometrics. Mol Ecol Resour 11:353–357

    Article  PubMed  Google Scholar 

  17. Rohlf FJ, Slice DE (1990) Extensions of the Procrustes method for the optimal superimposition of landmarks. Syst Zool 39:40–59

    Article  Google Scholar 

  18. Viðarsdóttir US, O’Higgins P, Stringer C (2002) A geometric morphometric study of regional differences in the ontogeny of the modern human facial skeleton. J Anat 201:211–229

    Article  Google Scholar 

  19. Fadda C, Corti M (2000) Three dimensional geometric morphometric study of the Ethiopian MyomysStenocephalemys complex (Murinae, Rodentta). Hystrix 10:131–143

    Google Scholar 

  20. Cardini A, DinizFilho JAF, Polly PD, Elton S (2010) Biogeographic analysis using geometric morphometrics: clines in skull size and shape in a widespread African arboreal monkey. AMT Elewa (ed) Morphometrics for nonmorphometricians. Lecture notes in Earth Sciences 124, Springer, Heidelberg. doi:10.1007/978-3-540-95853-6_8

  21. Viscosi V, Cardini A (2011) Leaves, taxonomy and geometric morphometrics: a simplified protocol for beginners. PLoS One 6(10):e25630. doi:10.1371/journal.pone.0025630

    Article  PubMed  CAS  Google Scholar 

  22. Rohlf FJ (2011) NTSYSpc, version 2.21k.Exeter Software, Setauket, New York

  23. Manly BFJ (2001) Randomisation, bootstrap and Monte Carlo methods in biology. CRC, Boca Raton

    Google Scholar 

  24. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: Paleontological Statistics software package for education and data analysis. Palaeontologia Electronica 4:9

    Google Scholar 

  25. Hammer Ø (2011) PAST ver. 2.09. http://norges.uio.no/past/download.html. Accessed 8 June 2011

  26. SPSS (2009) PASW Statistics 18. Release version 18.0.0. SPSS, Inc., Chicago, IL. www.spss.com

  27. Sanfilippo P, Cardini A, Sigal IA, Ruddle J, Chua B, Hewitt A, Mackey DA (2010) Geometric morphometric assessment of the optic cup in glaucoma. Exp Eye Res 91:405–414

    Article  PubMed  CAS  Google Scholar 

  28. Steyn M, İşcan MY (1998) Sexual dimorphism in the crania and mandibles of South African whites. Forensic Sci Int 98:9–16

    Article  PubMed  CAS  Google Scholar 

  29. Kranioti EF, İşcan MY, Michalodimitrakis M (2008) Craniometric analysis of the modern Cretan population. Forensic Sci Int 180:110.e1–110.e5

    Article  Google Scholar 

  30. Nagaoka T, Shizushima A, Sawada J, Tomo S, Hoshino K, Sato H, Hirata K (2008) Sex determination using mastoid process measurements: standards for Japanese human skeletons of the medieval and early periods. Anth Sci 116:105–113

    Article  Google Scholar 

  31. Reynolds M, Franklin D, Raymond MA, Dadour I (2008) Bloodstain measurement using computer fitted theoretical ellipses: a study in accuracy and precision. J Forensic Ident 58:469–484

    Google Scholar 

  32. Ward RE, Jamison PL (1991) Measurement precision and reliability in craniofacial anthropometry: implications and suggestions. J Craniofac Genet Dev Biol 11:156–164

    PubMed  CAS  Google Scholar 

  33. Weinberg SM, Scott NM, Neiswanger K, Marazita ML (2005) Intraobserver error associated with measurements of the hand. Am J Hum Biol 17:368–371

    Article  PubMed  Google Scholar 

  34. Workshop of European Anthropologists (1980) Recommendations for age and sex diagnoses of skeletons. J Hum Evol 9:517–549

    Article  Google Scholar 

  35. Buikstra JE, Ubelaker DH (1994) Standards for data collection from human skeletal remains. Arkansas Archaeological Survey, Arkansas

    Google Scholar 

  36. Walker PL (2008) Sexing skulls using discriminant function analysis of visually assessed traits. Am J Phys Anthropol 136:39–50

    Article  PubMed  Google Scholar 

  37. Hylander WL, Picq PG, Johnson KR (1991) Masticatory-stress hypotheses and the supraorbital region of primates. Am J Phys Anthropol 86:1–36

    Article  PubMed  CAS  Google Scholar 

  38. Lahr MM, Wright RVS (1996) The question of robusticity and the relationship between cranial size and shape in Homo sapiens. J Hum Evol 31:157–191

    Article  Google Scholar 

  39. Rosas A, Bastir M (2002) Thin-plate spline analysis of allometry and sexual dimorphism in the human craniofacial complex. Am J Phys Anthropol 117:236–245

    Article  PubMed  Google Scholar 

  40. Bastir M, Godoy P, Rosas A (2011) Common features of sexual dimorphism in the cranial airways of different human populations. Am J Phys Anthropol 146:414–422

    Article  PubMed  Google Scholar 

  41. Johnson DR, O’Higgins P, Moore WJ, McAndrew TJ (1989) Determination of race and sex of the human skull by discriminant function analysis of linear and angular dimensions. Forensic Sci Int 41:41–53

    Article  PubMed  CAS  Google Scholar 

  42. Kemkes A, Gobel T (2006) Metric assessment of the “mastoid triangle” for sex determination: a validation study. J Forensic Sci 51:985–989

    Article  PubMed  Google Scholar 

  43. Franklin D, Freedman L, Milne N, Oxnard CE (2006) A geometric morphometric study of sexual dimorphism in the crania of indigenous southern Africans. S African J Sci 102:229–238

    Google Scholar 

  44. Gonzalez PN, Bernal V, Perez SI (2011) Analysis of sexual dimorphism of craniofacial traits using geometric morphometric techniques. Int J Osteoarch 21:82–91

    Article  Google Scholar 

  45. Bigoni L, Veleminska J, Bruzek J (2010) Three-dimensional geometric morphometric analysis of cranio-facial sexual dimorphism in a Central European population of known sex. HOMO-J Comp Hum Biol 61:16–32

    Article  CAS  Google Scholar 

  46. Howells WW (1973) Cranial variation in man: a study by multivariate analysis of patterns of difference among recent human populations. Peabody Museum of Archaeology and Ethnology, Massachusetts

    Google Scholar 

  47. Bass WM (2005) Human osteology: a laboratory and field manual of the human skeleton. Missouri Archaeological Society, Missouri

    Google Scholar 

  48. Buikstra JE, Ubelaker DH (1994) Standards for data collection from human skeletal remains. Arkansas Archaeological Survey, Arkansas

    Google Scholar 

  49. de Villiers H (1968) The skull of the South African Negro: a biometrical and morphological study. Witwatersrand University Press, Johannesburg

    Google Scholar 

  50. Wood CG, Lynch JM (1996) Sexual dimorphism in the craniofacial skeleton of modern humans. In: Marcus LF, Corti M, Loy A, Naylor GLP, Slice DE (eds) Advances in morphometrics. Plenum, New York, pp 407–414

    Google Scholar 

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Acknowledgements

The authors would like to thank A/Prof. Rob Hart, Frontier Medical Imaging International, Western Australia, for assistance with obtaining and interpreting the CT scans. We also thank Dr. Paul Sanfilippo, University of Melbourne, for assistance with statistical applications and interpretations. The authors also thank the reviewers and editor for their helpful comments. Funding is provided by ARC Discovery Grant (DP1092538).

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Correspondence to Daniel Franklin.

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Franklin, D., Cardini, A., Flavel, A. et al. The application of traditional and geometric morphometric analyses for forensic quantification of sexual dimorphism: preliminary investigations in a Western Australian population. Int J Legal Med 126, 549–558 (2012). https://doi.org/10.1007/s00414-012-0684-8

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  • DOI: https://doi.org/10.1007/s00414-012-0684-8

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