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Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning
Completion of a survey of dermatoglyphic variables for all ethnic groups in an ethnically diverse country like China is a huge research project, and an achievement that anthropological and dermatoglyphic scholars in the country could once only dream of. However, through the endeavors of scientists i...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808343/ https://www.ncbi.nlm.nih.gov/pubmed/20098698 http://dx.doi.org/10.1371/journal.pone.0008783 |
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author | Zhang, Hai-Guo Chen, Yao-Fong Ding, Ming Jin, Li Case, D. Troy Jiao, Yun-Ping Wang, Xian-Ping Bai, Chong-Xian Jin, Gang Yang, Jiang-Ming Wang, Han Yuan, Jian-Bing Huang, Wei Wang, Zhu-Gang Chen, Ren-Biao |
author_facet | Zhang, Hai-Guo Chen, Yao-Fong Ding, Ming Jin, Li Case, D. Troy Jiao, Yun-Ping Wang, Xian-Ping Bai, Chong-Xian Jin, Gang Yang, Jiang-Ming Wang, Han Yuan, Jian-Bing Huang, Wei Wang, Zhu-Gang Chen, Ren-Biao |
author_sort | Zhang, Hai-Guo |
collection | PubMed |
description | Completion of a survey of dermatoglyphic variables for all ethnic groups in an ethnically diverse country like China is a huge research project, and an achievement that anthropological and dermatoglyphic scholars in the country could once only dream of. However, through the endeavors of scientists in China over the last 30 years, the dream has become reality. This paper reports the results of a comprehensive analysis of dermatoglyphics from all ethnic groups in China. Using cluster analysis and principal component analysis of dermatoglyphics, it has been found that Chinese populations can be generally divided into a southern group and a northern group. Furthermore, there has been considerable debate about the origins of many Chinese populations and about proper assignment of these peoples to larger ethnic groups. In this paper, we suggest that dermatoglyphic data can inform these debates by helping to classify a Chinese population as a northern or southern group, using selected reference populations and quantitative methods. This study is the first to assemble and investigate dermatoglyphics from all 56 Chinese ethnic groups. It is fortunate that data on population dermatoglyphics, a field of physical anthropology, have now been collected for all 56 Chinese ethnic groups, because intermarriage between individuals from different Chinese ethnic groups occurs more frequently in recent times, making population dermatoglyphic research an ever more challenging field of inquiry. |
format | Text |
id | pubmed-2808343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28083432010-01-23 Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning Zhang, Hai-Guo Chen, Yao-Fong Ding, Ming Jin, Li Case, D. Troy Jiao, Yun-Ping Wang, Xian-Ping Bai, Chong-Xian Jin, Gang Yang, Jiang-Ming Wang, Han Yuan, Jian-Bing Huang, Wei Wang, Zhu-Gang Chen, Ren-Biao PLoS One Research Article Completion of a survey of dermatoglyphic variables for all ethnic groups in an ethnically diverse country like China is a huge research project, and an achievement that anthropological and dermatoglyphic scholars in the country could once only dream of. However, through the endeavors of scientists in China over the last 30 years, the dream has become reality. This paper reports the results of a comprehensive analysis of dermatoglyphics from all ethnic groups in China. Using cluster analysis and principal component analysis of dermatoglyphics, it has been found that Chinese populations can be generally divided into a southern group and a northern group. Furthermore, there has been considerable debate about the origins of many Chinese populations and about proper assignment of these peoples to larger ethnic groups. In this paper, we suggest that dermatoglyphic data can inform these debates by helping to classify a Chinese population as a northern or southern group, using selected reference populations and quantitative methods. This study is the first to assemble and investigate dermatoglyphics from all 56 Chinese ethnic groups. It is fortunate that data on population dermatoglyphics, a field of physical anthropology, have now been collected for all 56 Chinese ethnic groups, because intermarriage between individuals from different Chinese ethnic groups occurs more frequently in recent times, making population dermatoglyphic research an ever more challenging field of inquiry. Public Library of Science 2010-01-20 /pmc/articles/PMC2808343/ /pubmed/20098698 http://dx.doi.org/10.1371/journal.pone.0008783 Text en Zhang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Hai-Guo Chen, Yao-Fong Ding, Ming Jin, Li Case, D. Troy Jiao, Yun-Ping Wang, Xian-Ping Bai, Chong-Xian Jin, Gang Yang, Jiang-Ming Wang, Han Yuan, Jian-Bing Huang, Wei Wang, Zhu-Gang Chen, Ren-Biao Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title | Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title_full | Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title_fullStr | Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title_full_unstemmed | Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title_short | Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning |
title_sort | dermatoglyphics from all chinese ethnic groups reveal geographic patterning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808343/ https://www.ncbi.nlm.nih.gov/pubmed/20098698 http://dx.doi.org/10.1371/journal.pone.0008783 |
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