Sex Estimation Research Articles

Anthropometric Measurements Analysis for Sex Determination in Human Ribs: A Systematic Review

Introduction: Sex estimation is one of the primary aspects in determining the biological characteristics of an unknown adult skeleton. The variations between male and female skeletons can be attributed to a complex interplay of genetics, hormonal factors, culture, and environment. However, skeletal remains frequently found are often incomplete, with most sexually dimorphic bone like the pelvis and skull potentially absent. Hence, it is essential to conduct a comprehensive evaluation of multiple skeletal elements to attain a high degree of precision in sex estimation within forensic anthropology context. Ribs have been utilized in forensic anthropology for sex estimation since the 1980s, a comprehensive review of their sexual dimorphism is yet to be conducted. In this study, we examined various anthropological methods applied to ribs for sex estimation. Method: A systematic search was performed using PubMed, Science Direct, and Google Scholar from 2000 to 2020, retrieving a total of 10 articles that met the inclusive criteria. The search followed the main points outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: This systematic review provides a comprehensive summary of the analytical approaches employed to estimate sex using human ribs. Conclusion: The findings revealed that different part of human ribs can be reliably used for sex estimation via metric method.

Morphological and Morphometric Analysis of Orocraniofacial Bones for Estimative Identification Gender

Identification of sex estimation is the first step in the identification process and is one of the priority parameters in the forensic identification process. Identification is made when the condition of the body is unrecognizable due to natural disasters, transport accidents, bomb explosions, ethnic studies and crime investigations, where only a few parts of the body are already incomplete and limited information are available. In forensic odontology, morphological and morphometric analysis of the orocraniofacial bone is an important component that can help in the process of identifying sex estimation because it has different shapes and sizes in each individual and population. This article will discuss morphological and morphometric analysis of several parameters of the orocraniofacial bone, as well as the advantages and limitations of both methods.

Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.

Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and error-prone. The purpose of this study was to estimate sex and chronological age from panoramic radiographs automatically and robustly using a multi-task deep learning network (ForensicNet). ForensicNet consists of a backbone and both sex and age attention branches to learn anatomical context features of sex and chronological age from panoramic radiographs and enables the multi-task estimation of sex and chronological age in an end-to-end manner. To mitigate bias in the data distribution, our dataset was built using 13,200 images with 100 images for each sex and age range of 15-80 years. The ForensicNet with EfficientNet-B3 exhibited superior estimation performance with mean absolute errors of 2.93 ± 2.61 years and a coefficient of determination of 0.957 for chronological age, and achieved accuracy, specificity, and sensitivity values of 0.992, 0.993, and 0.990, respectively, for sex prediction. The network demonstrated that the proposed sex and age attention branches with a convolutional block attention module significantly improved the estimation performance for both sex and chronological age from panoramic radiographs of elderly patients. Consequently, we expect that ForensicNet will contribute to the automatic and accurate estimation of both sex and chronological age from panoramic radiographs.

Cranial measurements obtained by three-dimensional computed tomography technique in the estimation of sex of contemporary Black South Africans

Human identification forms an integral part of forensic and biological anthropology. For proper identification, a biological profile made up of biodata such as age, sex, ancestry, antemortem stature, and factors of individualization, is obtained and stored for use by anthropologists. A correct sex estimation can help unravel other anthropological parameters. South Africa has a multi-dimensionally high crime rate and its largest distinct population group (Black South Africans) is most affected by such crimes. Several authors have in the past used cranial measurements to carry out sex discrimination among South Africans, such attempts have largely been done using direct assessment of post-mortem specimens and on subjects of European Descent. This study, therefore, attempted to overcome these drawbacks by using a non-invasive method, the three-dimensional computed tomography (3DCT) to obtain population-specific data from a contemporary Black South African population group. It obtained measurements from cranial CT records of 350 Black South Africans (50 % sex ratio) housed in the Radiology Department of Charlotte Maxeke Johannesburg Academic Hospital. The Xiris and IntelliSpace software were used to reconstruct the images into three-dimensional forms from which measurements were taken. Evaluation of previously derived equations using data from the current study yielded low average classification accuracies which necessitated the formulation of new equations. Discriminant function analysis yielded acceptably high average classification accuracies for sex estimation which ranged from 78.3 % to 82.9 %.

The influence of biological relatedness on sexual dimorphism and sex classification based on external morphology of the frontal bone.

The most significant sexual differences in the human skull are located in the upper third of the face (the frontal bone), which is a useful research object, mainly in combination with virtual anthropology methods. However, the influence of biological relatedness on sexual dimorphism and frontal bone variability remains unknown. This study was directed at sexual difference description and sex classification using the form and shape of the external surface of the frontal bones from a genealogically documented Central European osteological sample (nineteenth to twentieth centuries). The study sample consisted of 47 cranial CT images of the adult members of several branches of one family group over 4 generations. Three-dimensional virtual models of the frontal bones were analyzed using geometric morphometrics and multidimensional statistics. Almost the entire external frontal surface was significantly different between males and females, especially in form. Significant differences were also found between this related sample and an unrelated one. Sex estimation of the biologically related individuals was performed using the classification models developed on a sample of unrelated individuals from the recent Czech population (Čechová et al. in Int J Legal Med 133: 1285 1294, 2019), with a result of 74.46% and 63.83% in form and shape, respectively. Failure of this classifier was caused by the existence of typical traits found in the biologically related sample different from the usual manifestation of sexual dimorphism. This can be explained as due to the increased degree of similarity and the reduction of variability in biologically related individuals. The results show the importance of testing previously published methods on genealogical data.

Sex estimation using maxillary sinus volume for Chinese subjects based on cone-beam computed tomography.

Sex estimate is a key stage in forensic science for identifying individuals. Some anatomical structures may be useful for sex estimation since they retain their integrity even after highly severe events. However, few studies are focusing on the Chinese population. Some researchers used teeth for sex estimation, but comparison with maxillary sinus were lack. As a result, the objective of this research is to develop a sex estimation formula for the northwestern Chinese population by the volume of the maxillary sinus and compare with the accuracy of sex estimation based on teeth through cone-beam computed tomography (CBCT). CBCT images from 349 samples were used to establish and verify the formula. The volume of both the left and right maxillary sinuses was measured and examined for appropriate formula coefficients. To create the formula, we randomly picked 80% of the data as the training set and 20% of the samples as the testing set. Another set of samples, including 20 males and 20 females, were used to compare the accuracy of maxillary sinuses and teeth. Overall, sex estimation accuracy by volume of the left maxillary sinus can reach 78.57%, while by the volume of the right maxillary sinus can reach 74.29%. The accuracy for females, which can reach 91.43% using the left maxillary sinus, was significantly higher than that for males, which was 65.71%. The result also shows that maxillary sinus volume was higher in males. The comparison with the available results using measurements of teeth for sex estimation performed by our group showed that the accuracy of sex estimation using canines volume was higher than the one using maxillary sinus volume, the accuracies based on mesiodistal diameter of canine and first molar were the same or lower than the volume of maxillary sinus. The study demonstrates that measurement of maxillary sinus volume based on CBCT scans was an available and alternative method for sex estimation. And we established a method to accurately assess the sex of the northwest Chinese population. The comparison with the results of teeth measurements made the conclusion more reliable.

Metric analysis of the patella for sex estimation in a Portuguese sample.

The biological profile estimation is the first step toward positive identification. However, it is not always possible to access a complete and well-preserved skeleton due to postmortem damage and taphonomic changes. As such, there is a need to develop new alternatives to analyze different bones of the human skeleton. The present study aims to analyze the patellar osteometry, with attention to its degree of sexual dimorphism, to establish a simple method for estimating sex in Portuguese adults. Six measurements were taken from 222 patella pairs, including 117 females and 105 males from the XXI Century Identified Skeleton Collection of the University of Coimbra. Subsequently, this method was validated in a different sample of 50 individuals equally representing both sexes. Maximum height stands out with a 77.0% of correct sex estimation, reaching 98.0% when applied to the new sample. The linear discriminant function analysis containing all the six variables showed the best results, with 80.2% of correct classification after cross-validation and 96.0% when applied to the independent sample.

Sex estimation by volumetric evaluation of the maxillary canine using cone-beam computed tomographic images

BackgroundTeeth can be a reasonable part of sex estimation in case of being the single evidence available or in doubt although they are not as accurate as bones in sex estimation. The size of teeth is greater in males than in females. In this study, it was aimed to determine cut-off values of the tooth volume (TV) and root volume (RV) of the maxillary canines and to evaluate the validity of the method for discriminating between males and females.MethodsCone beam computed tomography (CBCT) images of 250 individuals aged 18 to 63 years with equal age and sex distribution were assessed retrospectively. The sample divided into reference set including 168 images of 84 females and 84 males and validation set including 82 images of 48 females and 34 males. Receiver operating characteristic (ROC) curve analysis, and Youden’s index were used to determine cut-off values of the volumetric measurements and to test the discriminative performance of the method.ResultsThe optimal cut-off values of TV ≥ 581 mm3 and RV ≥ 334 mm3 for estimating sex were established from the reference set. The sensitivity (Se), specificity (Sp), and accuracy (Ac) were 0.77 for TV ≥ 581 mm3 while they were 0.82, 0.77, and 0.79 for RV ≥ 334 mm3. When we tested the previously derived cut-off values of TV of the maxillary canine, the Se, Sp, and Ac were found to be respectively 0.71, 0.90, and 0.82 for TV ≥ 619 mm3 and 0.97, 0.27, and 0.56 for TV ≥ 510 / 460 mm3 (right/left).ConclusionsThe identified cut-off values of TV and RV of the maxillary canines can be used to estimate sex with moderate accuracy when the only evidence available is teeth or in case of doubt. The method’s applicability should be assessed for different populations.

Age and sex estimation in cephalometric radiographs based on multitask convolutional neural networks

ObjectivesAge and sex characteristics are evident in cephalometric radiographs (CRs), yet their accurate estimation remains challenging due to the complexity of these images. This study aimed to harness deep learning to automate age and gender estimation from CRs, potentially simplifying their interpretation. Study DesignWe compared the performance of 4 deep learning models (SVM, R-net, VGG16-SingleTask, and our proposed VGG16-MultiTask) in estimating age and sex from the testing dataset, utilizing a VGG16-based multitask deep learning model on 4,557 CRs. Gradient-weighted class activation mapping (Grad-CAM) was incorporated to identify sex. Performance was assessed using mean absolute error (MAE), specificity, sensitivity, F1 score, and the area under the curve (AUC) in receiver operating characteristic analysis. ResultsThe VGG16-MultiTask model outperformed the others, with the lowest MAE (0.864±1.602) and highest sensitivity (0.85), specificity (0.88), F1 score (0.863), and AUC (0.93), demonstrating superior precision and robust performance. ConclusionsThe VGG multitask model demonstrates significant potential in enhancing age and sex estimation from cephalometric analysis, underscoring the role of AI in improving biomedical interpretations.

Validating the use of clinical MSCT scans for cranial nonmetric sex estimation in a contemporary Indonesian population

There is renewed interest in Asia for the development of forensic anthropological standards, partly due to the need for population-specific models to maintain high classification accuracies. At present, there are no known studies utilising morphoscopic standards specific to the Indonesian population. Craniometric analyses can often be time-consuming; morphoscopic assessments are quicker and are also known to be reliable and accurate. One of the most utilised morphoscopic standards for the estimation of skeletal sex is that of Walker (2008). Its application across population groups demonstrated reduced accuracies outside of the United States; population-specific predictive models would thus serve to improve the identification process of unknown skeletal remains. Digital imaging also allows for the validation of standards on a contemporary population and is an appropriate proxy to physical skeletal material.The present study quantifies the applicability of the Walker standard to a contemporary Indonesian population. A total of 200 cranial MSCT scans from a hospital in Makassar were analysed using OsiriX®. Scoring was performed in accordance with the Walker standard. Five univariate and nine multivariate predictive models were derived using single trait and multi-trait combinations. The best performing univariate model included the glabella, with a total classification accuracy of 82.0% and a sex bias of 14.6%. Classification accuracy with all traits considered was at 95.2% for females and 82.8% for males with a sex bias of 12.5%. These results provide forensic practitioners in Indonesia with an appropriate morphoscopic sex estimation standard, strengthening their capabilities in the field and improving judicial outcomes.

Estimation of sex using dimensions around the metatarsal diaphyseal nutrient foramen: Application of discriminant function analysis and logistic regression models

Sex estimation equations are population-specific, and a wider use of multiple bones to generate equations will increase the accuracy of sex estimation in forensic settings. The metatarsal bones have been used previously, however the dimensions around the diaphyseal nutrient foramen have not been utilised in sex estimation. The current study aimed to determine the utility of the dimensions around the nutrient foramen of metatarsal bones in estimating sex in the South Africans of European descent (SAED). Five measurements around the nutrient foramen were taken from a total of 876 metatarsal bones (first to fifth) from 186 individual skeletons (99 males, 87 females) obtained from the Raymond A. Dart Modern Skeletal Collection. Measurements subjected to direct and stepwise discriminant function (DFA) and logistic regression (LRA) analyses included total length, distance from proximal end to nutrient foramen, circumference, and mediolateral and dorsoplantar diameters at the level of the nutrient foramen. The original classification accuracies for multivariable functions of the stepwise and direct DFA ranged from 83.1–88.3% to 85.5–88.3%, respectively. The original classification accuracies for multivariable functions of the stepwise and direct LRA ranged from 83.3%–88.7% to 86.2%–88.3%, respectively. The cross-validation classifications showed a drop of 0–2.4% for DFA and 0.2–1.1% for LRA. The width measurements were better predictors of sex than length. The dimensions around the metatarsal bone nutrient foramen exhibit sexual dimorphism in the SAED. The generated DFA and LRA functions produced high average classification accuracies which are useful in sex estimation during forensic human identification.

Sex estimation based on mandibular measurements.

Medical imaging and machine learning are beneficial approaches in physical and forensic anthropology. They are particularly useful for the development of models for sex identification based on bone remains. The present study uses machine learning algorithms to create models for sex estimation based on mandibular measurements. The sample included head CT scans of 239 adult Bulgarians (116 males and 123 females). Three-dimensional coordinates of 45 landmarks of the mandible were acquired from segmented polygonal models of the skulls of these individuals. Two datasets of mandibular measurements were assembled. The first dataset included 51 measurements: linear, projective, and angular measurements. The second dataset included 990 interlandmark distances. Seven machine learning algorithms (Support Vector Machines, Neural Network, Naïve Bayes, Random Forest, J48, JRip, and Logistic Regression) were applied to the two datasets, and the classification accuracy was evaluated by 10x5-cross-validation. The selection of the best subsets of attributes specific to each of the abovementioned algorithms was done based on the attribute importance evaluated by an attribute selection scheme. In general, the sub-symbolic algorithms achieved higher results than the symbolic ones, except for the logistic regression. The best classification model was learnt by the Support Vector Machines algorithm, which achieved an accuracy of 95.3% on a dataset described by 19 interlandmark distances. In both datasets, the application of advanced attribute selection has led to an increase in the classification accuracy of all algorithms used in the experiments.

Walker's traits for sex estimation in modern Croatian population using MSCT virtual cranial database: Validation and development of population-specific standards

The present study aimed to test the applicability of Walker`s method in the Croatian population by using multi-slice computed tomography (MSCT) scans of a head from the University hospitals (UHC) in Split and Zagreb. Cranial morphological traits (nuchal crest, mastoid process, supraorbital edge, and glabella) were scored from images of 280 adult patients with balanced distribution according to sex and geographical region. Differences between Split and Zagreb samples were visible through principal component analysis (PCA) with Split individuals being more robust, that also reflected in specific differences in trait expression like mastoid process (P = 0.001) and supraorbital edge (P = 0.003) in male samples. Original equations did not perform well in our population, with accuracy ranging from 62 % to 70 % with low accuracy in females (48 % - 56 %). We developed 15 population-specific equations that comprised all possible combinations with single or multiple variables. The best performing equation was the one that included glabella and mastoid process that showed the least interregional variabilities and achieved accuracy of 86.25 %. To enable a direct application of equations developed we provided on-line app called CroWalker, available at: https://crowalker-rvhw.onrender.com/.

Testing the accuracy of the SexEst software for sex estimation in a modern Greek sample

AbstractSex estimation from human skeletal remains is fundamental in osteoarcheology and forensic anthropology. The increasing availability of reference skeletal collections across the world has allowed the development of morphological and metric methods for skeletal sex estimation, some of which may be implemented in specialized computer software. The present study aims to evaluate the freely available SexEst software, which utilizes cranial and postcranial measurements, and different classification models for sex estimation, on a contemporary Greek population comprising of 227 (126 males and 101 females) adult individuals. After the calculation of intra‐observer error to assess the repeatability of the measurements, the proposed variables were tested for classification accuracy individually and in different combinations. Based on the results, the postcranial models outperformed the cranial ones in all cases and can be adequately applied on a Greek population sample. The light gradient boosting (LGB) algorithm yielded the highest correct classification rates when no missing values exist, while the linear discriminant analysis (LDA) models should only be used when dealing with missing data. The highest classification accuracy for a 0.65 posterior probability threshold was reached when utilizing a combination of postcranial variables (89.67%), while the lowest was achieved with the cranial measurement “Glabella‐occipital length” (45.00%). The same models yielded the highest and lowest accuracy for a 0.5 probability threshold, with values of 92.96% and 67.73%, respectively. Combining variables yielded higher accuracies in both skeletal regions, suggesting that the software would be more helpful in cases of intact skeletons. The loss of classification accuracy due to population specificity further corroborates the need to include different ancestries in sex estimation software.

Comparative Study of Mandibular Canine Index and Maxillary Canine Index in Sex Estimation among North Indian Population

Introduction: Since teeth are easily approachable and each having different morphology, they form an excellent medicolegal and anthropological tool for sex estimation. Sexual dimorphism is difference in size and appearance among male and female teeth that can be applied for determination of sex. The basis of estimation of sex is comparing tooth parameters in male and female individual. Canine teeth shows highest sexual dimorphism among all teeth. Mesiodistal width of maxillary and mandibular canine can be used for sex determination based on sexual dimorphism.Aim: The aim of our study was to evaluate the comparative sex estimation by mandibular canine index andmaxillary canine index in north Indian population.Materials and Methods: The sample comprised of dental impression from 120 individuals (60 males and 60females), all young adults between 20 and 35 years of age. Impressions of the teeth were made using irreversible hydrocolloid (alginate) material and casts poured in dental stone. Mesiodistal dimensions and intercanine distance of mandibular and maxillary canine of both right and left side was measured by caliper. Mandibular and maxillary canine index was calculated by formula given by Nageshwar Rao et al.Results: Data were summarized as Mean and SD. Groups (in Gender Male vs female) were compared by unpaired or independent Student’s t test. When the level of accuracy for sex determination was measured using canine index it was found that 65% males and 65.83% females were predicted correctly. When maxillary canine index was used the sex was correctly predicted in it was found that 40.83% females and 32.50% males were predicted correctly.Conclusion: Mandibular and maxillary canine index can be used for sex estimation in North Indian population but accuracy of mandibular canine index is better than maxillary canine index.

Comparative Evaluation of Odontometric Parameters for Determining Gender

Background and Aim: Sex estimate is a crucial component of human identification in a forensic setting. Due to the sexual dimorphism of human teeth, odontometrics—the measuring and analysis of tooth size standards—is most frequently utilized in age and sex determination. The aim of this study was to assess the degree of sexualdimorphism in mandibular canine using mandibular canine index using mesiodistal (MD) and buccolingual (BL)dimensions of the crown and inter canine distance measured.Material and Methods: The study sample included 200 people (100 men and 100 women), ages 18 to 35, withan average age of 22 years. The distance between the mesial and distal contact points was used to calculate the mesiodistal dimension of the mandibular canine (CMD). Each subject’s right mandibular canine index and left mandibular canine index were used to construct the canine index. The standard canine index (SCI) value was used as a cutoff point to differentiate males from females.Results: Men’s right and left mandibular canines mesio-distal crown widths were found to be significantly greater than those of their female counterparts. The current study demonstrates a very high significance of p value seen in the left mandibular canine and a significant difference in mesiodistal breadth between males and females of the right mandibular canine of p value. The total probability of sex determination for the right mandibular canine is 55% and for the left canine is 59.5% based on the conventional MCI calculations for the right mandibular canine (0.22) and for the left mandibular canine (0.21), suggesting that the left mandibular canine is more relevant for sex determination.Conclusion: It has been proven beyond a reasonable doubt that mandibular canines exhibit significant sexual dimorphism when it comes to sex determination, and it is clear from the study that this breed is a more trustworthy source for sex determination.

Anthropometric examination of footprints in South Indian population for sex estimation

BackgroundIndividualisation is essential when assessing physical evidence that is discovered at a crime scene to connect the evidence to a suspect or victim. Many studies on the identification of an individual from various evidence types have been conducted across the globe. Once identified, a person's sex completes 50% of the individualisation process, which assists the investigator in leading the investigation in a specific direction by narrowing down the pool of suspects. The current study intends to ascertain an individual's sex, be it male or female, based on footprint evidence, which is a highly neglected research area. The present study is part of an anthropometrical research in which seven different footprint measurements, specifically lengths and widths, were recorded and statistically assessed to determine a person's sex from inked bilateral footprints of 132 individuals (61 males and 71 females) aged 18–50 years, who were born in South India. ResultsThe t-test scores show that the right footprint parameters are similar to the left footprint, except T1 (Length between the pternion and the first toe anterior point) and B1 (Total Ball Breadth) in females. T4_R (Length between the pternion and the fourth toe anterior end of the right foot) exhibited the strongest correlation with sex. In contrast, HB_Index_R (Heel ball index of right foot) exhibited the weakest correlation. The male and female footprints achieved 77% and 93% accuracy rates, respectively. ConclusionsA person's sex can be established, to a satisfactory degree, with the help of individual footprint measurements. Further studies can develop population-specific footprint standards to help investigators hasten the identification process.

The significance and limited influence of cerebrovascular reactivity on age and sex effects in task- and resting-state brain activity.

Functional MRI measures the blood-oxygen-level dependent signals, which provide an indirect measure of neural activity mediated by neurovascular responses. Cerebrovascular reactivity affects both task-induced and resting-state blood-oxygen-level dependent activity and may confound inter-individual effects, such as those related to aging and biological sex. We examined a large dataset containing breath-holding, checkerboard, and resting-state tasks. We used the breath-holding task to measure cerebrovascular reactivity, used the checkerboard task to obtain task-based activations, and quantified resting-state activity with amplitude of low-frequency fluctuations and regional homogeneity. We hypothesized that cerebrovascular reactivity would be correlated with blood-oxygen-level dependent measures and that accounting for these correlations would result in better estimates of age and sex effects. We found that cerebrovascular reactivity was correlated with checkerboard task activations in the visual cortex and with amplitude of low-frequency fluctuations and regional homogeneity in widespread fronto-parietal regions, as well as regions with large vessels. We also found significant age and sex effects in cerebrovascular reactivity, some of which overlapped with those observed in amplitude of low-frequency fluctuations and regional homogeneity. However, correcting for the effects of cerebrovascular reactivity had very limited influence on the estimates of age and sex. Our results highlight the limitations of accounting for cerebrovascular reactivity with the current breath-holding task.

Assessing the utility of 3D modeling with photogrammetry in assigned sex estimation from the greater sciatic notch

Assigned sex estimation via the greater sciatic notch (GSN) is traditionally performed via physical/visual examination and ordinal scoring; however, this relies on the subjective assessment of morphology for typological classification which may not be reflective of human variation. Three-dimensional (3D) photogrammetry may offer a technologically advanced, low cost, and more objective alternative to assess the complex curvature of anatomical landmarks. This research explores the accuracy of photogrammetry derived 3D models by comparing digital measurements to those obtained from the skeletal elements and to streamline the application of curvature analysis for the estimation of assigned sex from the GSN. This study utilizes the left and right os coxae from 15 skeletal individuals (5 females, 10 males) from the Boston University Chobanian & Avedisian School of Medicine. A Fujifilm X-Pro2 and Fujifilm 35 mm prime lens captured 123 images per element, which were processed in Meshroom by AliceVision® to create a 3D textured mesh. The mesh was exported into Blender for cleanup, scaling, measurement, and curvature analysis. The measurements were between 96.54 % and 99.94 % consistent across methods and observations. The consistency between digital metric observations increased by an average of 0.07 % when compared to the consistency of the dry bone measurements. Additionally, curvature analysis of the GSN correctly estimated the assigned sex of all os coxae in the sample. This study demonstrates that photogrammetry is an accurate and reliable method for the digitization of remains that enables analytical techniques to better capture skeletal variation compared to traditional methods.

Comparing Walker's (2008) skull trait sex estimation standard to proteomic sex estimation for a group of South Asian individuals

This research assesses the potential for misidentification of sex in individuals of South Asian ancestry using the Walker (2008) morphological skull sex estimation standard [1]. Chromosomal sex was assessed using proteomic analysis targeting sex chromosome-specific amylogenic peptides. Results showed that the Walker method produced incorrect classification for 36.7 % of individuals. Overwhelmingly, those incorrectly assigned were chromosomally male. Misidentification was due to males within the group having lower trait scores (i.e., more gracile traits) than the standard would predict. There was also a high level of overlap in trait scores between male and females indicating reduced expression of sexual dimorphism. The use of established multivariate statistical techniques improved accuracy of sex estimation in some cases, but larger osteological data sets from South Asian individuals are required to develop population-specific standards. We suggest that peptide analysis may provide a useful tool for the forensic anthropologist when assessing sex in populations without population specific osteological standards.