Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning
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{"title"=>"Dermatoglyphics from all Chinese ethnic groups reveal geographic patterning", "type"=>"journal", "authors"=>[{"first_name"=>"Hai Guo", "last_name"=>"Zhang", "scopus_author_id"=>"23029264300"}, {"first_name"=>"Yao Fong", "last_name"=>"Chen", "scopus_author_id"=>"57196265115"}, {"first_name"=>"Ming", "last_name"=>"Ding", "scopus_author_id"=>"7202281904"}, {"first_name"=>"Li", "last_name"=>"Jin", "scopus_author_id"=>"36815180100"}, {"first_name"=>"D. Troy", "last_name"=>"Case", "scopus_author_id"=>"7102943209"}, {"first_name"=>"Yun Ping", "last_name"=>"Jiao", "scopus_author_id"=>"7102211901"}, {"first_name"=>"Xian Ping", "last_name"=>"Wang", "scopus_author_id"=>"55950689800"}, {"first_name"=>"Chong Xian", "last_name"=>"Bai", "scopus_author_id"=>"36757345500"}, {"first_name"=>"Gang", "last_name"=>"Jin", "scopus_author_id"=>"55674959900"}, {"first_name"=>"Jiang Ming", "last_name"=>"Yang", "scopus_author_id"=>"36021712800"}, {"first_name"=>"Han", "last_name"=>"Wang", "scopus_author_id"=>"57196428613"}, {"first_name"=>"Jian Bing", "last_name"=>"Yuan", "scopus_author_id"=>"36021688600"}, {"first_name"=>"Wei", "last_name"=>"Huang", "scopus_author_id"=>"36079111500"}, {"first_name"=>"Zhu Gang", "last_name"=>"Wang", "scopus_author_id"=>"55810419600"}, {"first_name"=>"Ren Biao", "last_name"=>"Chen", "scopus_author_id"=>"57199982935"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "sgr"=>"77649306234", "pui"=>"358404169", "scopus"=>"2-s2.0-77649306234", "issn"=>"19326203", "pmid"=>"20098698", "doi"=>"10.1371/journal.pone.0008783"}, "id"=>"842e98e9-6996-3c31-bc23-75319cbc72a0", "abstract"=>"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.", "link"=>"http://www.mendeley.com/research/dermatoglyphics-chinese-ethnic-groups-reveal-geographic-patterning", "reader_count"=>18, "reader_count_by_academic_status"=>{"Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Materials Science"=>1, "Agricultural and Biological Sciences"=>10, "Medicine and Dentistry"=>2, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>10}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"Sri Lanka"=>1, "United States"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/866744"], "description"=>"<p>This figure was drawn based on standardized principal component scores. Shanghai Han (indicated by the “?”) stays in the northern group.</p>", "links"=>[], "tags"=>["gram", "shanghai", "han", "29", "populations", "outgroups"], "article_id"=>537184, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.g003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_gram_for_principal_component_analysis_of_Shanghai_Han_Han_10_29_reference_populations_PM_and_2_outgroups_SM_/537184", "title"=>"Scatter gram for principal component analysis of Shanghai Han (Han-10), 29 reference populations (PM) and 2 outgroups (SM).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-01-20 01:59:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/866835"], "description"=>"<p>Mang was in the southern group. This figure was drawn based on cluster analysis using the average linkage method.</p>", "links"=>[], "tags"=>["29", "populations", "outgroups"], "article_id"=>537280, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cluster_tree_for_Mang_29_reference_populations_PM_and_2_outgroups_SM_/537280", "title"=>"Cluster tree for Mang, 29 reference populations (PM) and 2 outgroups (SM).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-01-20 02:01:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/430311", "https://ndownloader.figshare.com/files/430422"], "description"=>"<div><p>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.</p></div>", "links"=>[], "tags"=>["dermatoglyphics", "chinese", "groups", "geographic", "patterning"], "article_id"=>144931, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0008783.s001", "https://dx.doi.org/10.1371/journal.pone.0008783.s002"], "stats"=>{"downloads"=>12, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Dermatoglyphics_from_All_Chinese_Ethnic_Groups_Reveal_Geographic_Patterning/144931", "title"=>"Dermatoglyphics from All Chinese Ethnic Groups Reveal Geographic Patterning", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-01-20 01:22:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/867065"], "description"=>"a<p>PM - population marker.</p>b<p>SM - supervisory marker.</p>c<p>N - northern population.</p>d<p>S - southern population.</p>e<p>? - simulated population remaining to be determined.</p>", "links"=>[], "tags"=>["29", "pm", "sm", "han-10"], "article_id"=>537510, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.t002", "stats"=>{"downloads"=>4, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_Component_analysis_of_29_PM_amp_2_SM_and_Han_10_of_Shanghai_/537510", "title"=>"Principal Component analysis of 29 PM & 2 SM and Han-10 of Shanghai.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-01-20 02:05:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/866920"], "description"=>"<p>This figure was drawn based on standardized principal component scores. Mang (indicated by the “?”) stays in the Southern group.</p>", "links"=>[], "tags"=>["gram", "29", "populations", "outgroups"], "article_id"=>537362, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.g005", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Scatter_gram_for_principal_component_analysis_of_Mang_29_reference_populations_PM_and_2_outgroups_SM_/537362", "title"=>"Scatter gram for principal component analysis of Mang, 29 reference populations (PM) and 2 outgroups (SM).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-01-20 02:02:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/867021"], "description"=>"*<p>A “*” indicates a combined sample for an ethnic group. Among the 56 ethnic groups, 31 are represented by more than one sample and 25 by only one sample. English names of these ethnic groups were based on Chinese Encyclopedia - Ethnic Groups (Encyclopedia Publisher, Beijing, Shanghai, Jun. 1986), and these English names were arranged in alphabetical order. The sample sizes for Bouyei, Dong-1, Dong-2, Ewenki, Han-5, Miao-2, Miao-3, Oroqen and Yugur are those from fingerprints since sample sizes for each dermatoglyphic variable may not be the same in a population. There are 1509 fingers in 151 Yugur females with one of them having an injured middle finger of the right hand. The following data are published for the first time: II of GaoS.-1, II and H of GaoS.-2, III of Han-1, II and III of Han-2, IV and H of Salar, T/I of Tatar, and II and III of Tu. Data II of Han-13 was kindly provided by Dr. Hui Li. The frequency of II of Russ from females was originally reported incorrectly as 20%. A total of 34 samples were investigated by authors of this paper, and these samples are Achang-2, Bai-2, Blang-2, Dai-2, De'ang-2, Derung-2, GaoS.-1-2, Han-1-2-10-15, Hani-2-3, Hui-7, Jingpo-2, Jino-2, Kazak, Kirgiz, Lahu-4, Lhoba, Lisu-2, Monba, Mongol-2, Naxi-2, Nu-2, Russ, Salar, Tatar, T.B.-8, Tu, Uygur, Va-1, and Yi-5. Among the 56 ethnic groups, we studied 29 (51.79%). Among the 121 populations, we studied 34 (28.10%).</p>", "links"=>[], "tags"=>["references", "samples", "dermatoglyphic", "variables", "chinese"], "article_id"=>537456, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.t001", "stats"=>{"downloads"=>6, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Geographical_area_sample_size_and_references_for_samples_and_dermatoglyphic_variables_of_Chinese_samples_and_outgroups_/537456", "title"=>"Geographical area, sample size and references for samples and dermatoglyphic variables of Chinese samples and outgroups.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-01-20 02:04:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/866666"], "description"=>"<p>Shanghai Han clustered with the northern group. This figure was drawn based on cluster analysis using the average linkage method.</p>", "links"=>[], "tags"=>["shanghai", "han", "29", "populations", "outgroups"], "article_id"=>537106, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cluster_tree_for_Shanghai_Han_Han_10_29_reference_populations_PM_and_2_outgroups_SM_/537106", "title"=>"Cluster tree for Shanghai Han (Han-10), 29 reference populations (PM) and 2 outgroups (SM).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-01-20 01:58:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/866591"], "description"=>"<p>There are 156 populations numbered from top to bottom 1–156. In the figure, there is a southern group (SG) (1–71) and a northern group (NG) (72–154). There are two outgroups: Caucasians (155) and Africans (156). Gin-Vietnamese (70) clusters with the SG. The cluster tree was drawn using the average linkage method.</p>", "links"=>[], "tags"=>["156", "samples", "56", "chinese", "caucasians", "gin"], "article_id"=>537027, "categories"=>["Genetics", "Medicine"], "users"=>["Hai-Guo Zhang", "Yao-Fong Chen", "Ming Ding", "Li Jin", "D. Troy Case", "Yun-Ping Jiao", "Xian-Ping Wang", "Chong-Xian Bai", "Gang Jin", "Jiang-Ming Yang", "Han Wang", "Jian-Bing Yuan", "Wei Huang", "Zhu-Gang Wang", "Ren-Biao Chen"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0008783.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cluster_tree_for_156_samples_including_56_Chinese_ethnic_groups_Africans_Caucasians_and_Gin_Vietnamese_/537027", "title"=>"Cluster tree for 156 samples (including 56 Chinese ethnic groups, Africans, Caucasians and Gin Vietnamese).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-01-20 01:57:07"}

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  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
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  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
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  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"17", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
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  • {"unique-ip"=>"10", "full-text"=>"17", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
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  • {"unique-ip"=>"11", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
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  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
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  • {"unique-ip"=>"13", "full-text"=>"12", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
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  • {"unique-ip"=>"21", "full-text"=>"23", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"17", "full-text"=>"20", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
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Relative Metric

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