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A cross-population study of sexual dimorphism in the bony labyrinth

机译:骨迷宫中性二态性的跨人群研究

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Previous research found sexual dimorphism in the bony labyrinth of a Greek population sample (Osipov et al.2013). This study intends to investigate the nature of this structure's sexual dimorphism across populations of diverse geographic origin and to identify the effect of inter-population variation on the accuracy of determining sex using the bony labyrinth. Three population samples of known sex were analyzed originating from Europe (n = 30), Africa (n = 38), and North America (n = 30). The discriminant function developed in Osipov et al. (2013) was applied, and new function equations for sex estimation were developed. In addition, we used principal component analyses for investigating population differences, while bivariate tests were used to compare across population samples, sexes, and anatomical sides. A significant level of sexual dimorphism was found in all population samples, being driven by both size and shape differences. Discriminant functions for sex estimation were developed for all three population samples combined (71.4% accuracy) as well as separately (70-80% accuracy). The German sample was the least sexually dimorphic, whereas the North American sample exhibited the greatest sexual dimorphism. The size and shape of the bony labyrinth also significantly differed across population samples. The bony labyrinth is found to be sexually dimorphic across distinct population groups. Due to significant differences across our population samples, the accuracy of the previously proposed method for sex determination (Osipov et al.,2013) was relatively low. For this purpose, this study presented new functions, whose accuracy was tested in three distinct population samples.
机译:以前的研究发现希腊人口样本的骨迷宫中的性二态(Osipov等,2013年)。本研究打算探讨这种结构的性别二态性的性质,这些结构在各种地理起源的人口中,并识别人群间变异对使用骨迷宫的决定性的准确性的影响。分析了来自欧洲(n = 30),非洲(n = 38)和北美(n = 30)的三种已知性别样本。 Osipov等人开发的判别功能。 (2013)已应用,开发了性别估计的新功能方程。此外,我们使用了用于调查人口差异的主成分分析,而双方测试用于跨人口样本,性别和解剖边进行比较。在所有人口样本中发现了显着的性二甲态,其尺寸和形状差异驱动。为所有三种种群样本组合(71.4%的精度)以及单独(精度为70-80%)而开发了性别估计的判别函数。德国样品是最不性行的二态,而北美样本表现出最大的性别二态性。骨迷宫的尺寸和形状在人口样本中也显着不同。发现骨迷宫在不同的人口群体中是性尺寸的。由于我们人口样本的显着差异,所提出的性别测定方法的准确性(Osipov等,2013)相对较低。为此,本研究提出了新功能,其精度在三种不同的人口样本中进行了测试。

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