人类学学报 ›› 2026, Vol. 45 ›› Issue (02): 310-321.doi: 10.16359/j.1000-3193/AAS.2025.0043

• 研究论文 • 上一篇    下一篇

内蒙古蒙古族人群肤纹的表型组

甄文天1(), 张海国1,2, 杨海涛3, 谭婧泽1, 乔辉1, 袁子宇3, 臧俊3, 严明亮4, 王久存1()   

  1. 1.复旦大学生命科学院人类遗传学与人类学系,现代人类学教育部重点实验室,上海 200438
    2.上海交通大学医学院基础医学院,上海 200025
    3.复旦大学泰州健康科学研究院,泰州 225316
    4.内蒙古师范大学研究生院,呼和浩特 010022
  • 收稿日期:2025-01-26 修回日期:2025-05-18 出版日期:2026-04-15 发布日期:2026-04-17
  • 通讯作者: 王久存,教授,主要从事皮肤表型组学研究。E-mail: jcwang@fudan.edu.cn
  • 作者简介:甄文天,硕士研究生,主要从事体质人类学研究。E-mail: wtzhen22@m.fudan.edu.cn
  • 基金资助:
    上海市市级科技重大专项(2017SHZDZX01);国家自然科学基金重大研究计划项目(91631105)

Dermatoglyphic phenome of the Mongolian people in Inner Mongolia

ZHEN Wentian1(), ZHANG Haiguo1,2, YANG Haitao3, TAN Jingze1, QIAO Hui1, YUAN Ziyu3, ZANG Jun3, YAN Mingliang4, WANG Jiucun1()   

  1. 1. Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Academy of Life Sciences, Fudan University,Shanghai 200438
    2. School of Basic Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025
    3. Taizhou Institute of Health Sciences, Fudan University, Taizhou 225316
    4. Graduate School of Inner Mongolia Normal University, Hohhot 010022
  • Received:2025-01-26 Revised:2025-05-18 Online:2026-04-15 Published:2026-04-17

摘要:

肤纹由皮肤表面凸起的嵴线形成,包括指纹、掌纹和足纹,因其稳定性和唯一性而在人身识别、群体研究及疾病诊断等领域发挥重要作用。肤纹具有重要价值,其中足纹在特定疾病诊断中的信息贡献度可达25%,然而既往肤纹研究普遍缺乏足纹。本文以内蒙古鄂尔多斯蒙古族群体为研究对象,首次系统采集并分析蒙古族的足纹样本。研究重点调查蒙古族的指纹、掌纹及足纹表型数据,并对其左右侧别的组合表型进行分析。通过对39个拥有足纹数据的民族进行聚类分析和主成分分析,揭示了中国人群可依据肤纹表型划分为南方群、北方群及中亚群;相关性分析表明同部位与跨部位的肤纹表型之间具有一定的规律。本研究结果不仅填补了蒙古族足纹研究的空白,同时使用含足纹的表型对中国的人群关系进行分析,为肤纹在个体识别、群体划分及疾病辅助诊断中的应用提供了理论基础。

关键词: 肤纹表型组, 指纹, 掌纹, 足纹, 蒙古族

Abstract:

Dermatoglyphics, formed by the raised ridge patterns on the skin surface, play a crucial role in personal identification, population genetics, and disease diagnosis. This study provides the first comprehensive analysis of soleprint phenotypes in the Mongolian population. Additionally, a comprehensive analysis of dermatoglyphic patterns in this population is presented, encompassing frequency distributions and combination characteristics across genders and bilateral sides. Specifically, we examined: 1) fingerprint patterns categorized as simple arch, tented arch, radial loop, ulnar loop, simple whorl, and double whorl; 2) palmprint phenotypes including the pattern in the thenar, hypothenar, interdigital regions II, III, IV, and their transitional regions (II/III, III/IV), along with the prevalence of simian lines, triple radial base lines, cdt triradius; 3) soleprint phenotypes in interdigital regions II, III, and IV, along with patterns observed in the hallucal region, hypothenar region, and calcar region. Our analysis in Mongolian population revealed distinct dermatoglyphic pattern distributions across different fingers: double whorl exhibited higher frequency in thumbs, radial loop predominated in index fingers, ulnar loop showed increased prevalence in middle and little fingers, and simple whorl were more common in ring fingers. Bilateral symmetry was observed in homologous fingers, demonstrating a significant tendency for pattern concordance. The pentadactyl pattern combinations exhibited non-random distribution characteristics. Regarding palmprint configurations, the highest frequency of true patterns was observed in interdigital region IV. Soleprint analysis indicated a predominance of loop pattern on the hallucal region, with arch patterns showing relatively lower frequency. Through cluster analysis and principal component analysis of 39 Chinese ethnic groups with complete soleprint phenotypes, we have identified three distinct population clusters: Southern, Northern, and Central Asian groups, based on dermatoglyphic phenotypes. Intra-site phenotypic correlation analysis demonstrated significant associations between fingerprint patterns, as well as between true patterns in palmprint and soleprint interdigital regions. Cross-site analysis revealed a strong positive correlation between total fingerprint ridge count (TFRC) and palm a-b ridge count (a-b RC), suggesting that populations with higher TFRC tend to exhibit increased ridge counts in the a-b interdigital region. Furthermore, significant correlations were identified between palmar and plantar interdigital regions, with palm interdigital regions showing the highest frequency of true pattern occurrence. These interregional associations warrant further investigation as potential focal points for future research. Notably, soleprint demonstrate significant diagnostic value, contributing up to 25% of the discriminative information in specific disease identification. This study not only fills the gap in the study of Mongolian soleprints, but also provides a theoretical basis for the application of dermatoglyphics in individual identification, population discriminant, and auxiliary diagnosis of diseases.

Key words: dermatoglyphics phenomics, fingerprint, palmprint, soleprint, Mongolian

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