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在中国人群中基于DNA的外耳形态预测:一项探索性研究

Xindi Wang¹, Zibo Zhao², Jingting Wu³

¹Department of Forensic Genetics, Sichuan University, Chengdu, China.

|October 14, 2025

概括

法医DNA表型化现在可以使用遗传标记来预测中国人口的外耳形态. 机器学习模型显示出从DNA中识别耳朵特征的前景,有助于法医调查.

科学领域:

法医遗传学法医遗传学
人类遗传学人类遗传学
生物识别信息生物识别信息

背景情况:

人类耳朵的独特,受遗传影响的结构使其成为法医DNA表型化 (FDP) 的目标.
以前的研究已经确定了耳朵变异的遗传位置,但从DNA中预测耳朵形态是未经探索的.
这项研究重点是开发基于DNA的外耳形态预测模型,用于中国人群.

研究的目的:

开发和评估基于DNA的外耳形态学预测模型.
在中国人群中识别与耳朵表型相关的遗传标记.
评估机器学习算法的实用性,用于法医耳朵形态预测.

主要方法:

从675名志愿者的数字照片中分析了13种耳朵表型.
使用多项逻辑回归 (MLR) 进行遗传关联分析.
通过十倍交叉验证开发和评估五种预测模型 (MLR,SVM,随机森林,AdaBoost,KNN).

主要成果:

确定了各种耳朵表型的有影响力的单核酸多态 (SNP).
AdaBoost和MLR模型表现出强的表现,AUC>0.7用于预测缺席的悲痛.
缺席特拉古斯的二进制模型,包括遗传相互作用,实现AUC为0.74 (AdaBoost) 和0.72 (BLR).

结论:

遗传标记显示出预测中国人口耳朵形态的潜力.
这些发现提升了法医DNA表型化 (FDP) 的应用.
开发的模型为法医环境中耳朵特征预测提供了一种新的方法.

关键词:

基于DNA的预测外部可见的特征外部可见的特征.法医学DNA的表型化.人类耳朵形态人类耳朵形态单个核酸的多态性.

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