Genome-wide scans reveal variants at EDAR predominantly affecting hair straightness in Han Chinese and Uyghur populations View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-11

AUTHORS

Sijie Wu, Jingze Tan, Yajun Yang, Qianqian Peng, Manfei Zhang, Jinxi Li, Dongsheng Lu, Yu Liu, Haiyi Lou, Qidi Feng, Yan Lu, Yaqun Guan, Zhaoxia Zhang, Yi Jiao, Pardis Sabeti, Jean Krutmann, Kun Tang, Li Jin, Shuhua Xu, Sijia Wang

ABSTRACT

Hair straightness/curliness is one of the most conspicuous features of human variation and is particularly diverse among populations. A recent genome-wide scan found common variants in the Trichohyalin (TCHH) gene that are associated with hair straightness in Europeans, but different genes might affect this phenotype in other populations. By sampling 2899 Han Chinese, we performed the first genome-wide scan of hair straightness in East Asians, and found EDAR (rs3827760) as the predominant gene (P = 4.67 × 10-16), accounting for 3.66 % of the total variance. The candidate gene approach did not find further significant associations, suggesting that hair straightness may be affected by a large number of genes with subtle effects. Notably, genetic variants associated with hair straightness in Europeans are generally low in frequency in Han Chinese, and vice versa. To evaluate the relative contribution of these variants, we performed a second genome-wide scan in 709 samples from the Uyghur, an admixed population with both eastern and western Eurasian ancestries. In Uyghurs, both EDAR (rs3827760: P = 1.92 × 10-12) and TCHH (rs11803731: P = 1.46 × 10-3) are associated with hair straightness, but EDAR (OR 0.415) has a greater effect than TCHH (OR 0.575). We found no significant interaction between EDAR and TCHH (P = 0.645), suggesting that these two genes affect hair straightness through different mechanisms. Furthermore, haplotype analysis indicates that TCHH is not subject to selection. While EDAR is under strong selection in East Asia, it does not appear to be subject to selection after the admixture in Uyghurs. These suggest that hair straightness is unlikely a trait under selection. More... »

PAGES

1279-1286

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00439-016-1718-y

DOI

http://dx.doi.org/10.1007/s00439-016-1718-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008086063

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27487801


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antigens", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Edar Receptor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "European Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome-Wide Association Study", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hair", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intermediate Filament Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Sijie", 
        "id": "sg:person.01307206665.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307206665.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tan", 
        "givenName": "Jingze", 
        "id": "sg:person.01125276222.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125276222.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China", 
            "Fudan-Taizhou Institute of Health Sciences, 225300, Taizhou, Jiangsu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Yajun", 
        "id": "sg:person.0704051162.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704051162.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peng", 
        "givenName": "Qianqian", 
        "id": "sg:person.01240703370.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240703370.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China", 
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Manfei", 
        "id": "sg:person.01142676115.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142676115.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Jinxi", 
        "id": "sg:person.01307016570.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307016570.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Dongsheng", 
        "id": "sg:person.01336632622.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336632622.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Yu", 
        "id": "sg:person.01257124515.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257124515.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lou", 
        "givenName": "Haiyi", 
        "id": "sg:person.01345405437.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345405437.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feng", 
        "givenName": "Qidi", 
        "id": "sg:person.01325425117.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325425117.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shanghai Institutes for Biological Sciences", 
          "id": "https://www.grid.ac/institutes/grid.419092.7", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Yan", 
        "id": "sg:person.01010416465.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010416465.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xinjiang Medical University", 
          "id": "https://www.grid.ac/institutes/grid.13394.3c", 
          "name": [
            "Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, 830011, Urumqi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guan", 
        "givenName": "Yaqun", 
        "id": "sg:person.01034060444.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034060444.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xinjiang Medical University", 
          "id": "https://www.grid.ac/institutes/grid.13394.3c", 
          "name": [
            "Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, 830011, Urumqi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Zhaoxia", 
        "id": "sg:person.01132575344.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132575344.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xinjiang Medical University", 
          "id": "https://www.grid.ac/institutes/grid.13394.3c", 
          "name": [
            "Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, 830011, Urumqi, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiao", 
        "givenName": "Yi", 
        "id": "sg:person.0677641070.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677641070.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Broad Institute", 
          "id": "https://www.grid.ac/institutes/grid.66859.34", 
          "name": [
            "Department of Organismic and Evolutionary Biology, Center for Systems Biology, Harvard University, 02138, Cambridge, MA, USA", 
            "The Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sabeti", 
        "givenName": "Pardis", 
        "id": "sg:person.0772575234.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772575234.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leibniz Institute of Environmental Medicine", 
          "id": "https://www.grid.ac/institutes/grid.435557.5", 
          "name": [
            "IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krutmann", 
        "givenName": "Jean", 
        "id": "sg:person.01005222227.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005222227.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China", 
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tang", 
        "givenName": "Kun", 
        "id": "sg:person.0737447452.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737447452.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China", 
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jin", 
        "givenName": "Li", 
        "id": "sg:person.07763550667.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07763550667.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "ShanghaiTech University", 
          "id": "https://www.grid.ac/institutes/grid.440637.2", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China", 
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China", 
            "School of Life Science and Technology, ShanghaiTech University, 200031, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Shuhua", 
        "id": "sg:person.0675220571.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675220571.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fudan University", 
          "id": "https://www.grid.ac/institutes/grid.8547.e", 
          "name": [
            "Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China", 
            "State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Sijia", 
        "id": "sg:person.01041551165.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041551165.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.1183863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000390264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001719382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2009.02591.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001719382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms10815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001960746", 
          "https://doi.org/10.1038/ncomms10815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-9-223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004510962", 
          "https://doi.org/10.1186/1471-2458-9-223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jrsm.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007898364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jrsm.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007898364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2010.11.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009497006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009739594", 
          "https://doi.org/10.1038/nrg2796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2796", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009739594", 
          "https://doi.org/10.1038/nrg2796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-013-1324-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009930709", 
          "https://doi.org/10.1007/s00439-013-1324-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-013-1324-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009930709", 
          "https://doi.org/10.1007/s00439-013-1324-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010666434", 
          "https://doi.org/10.1038/nature01140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010666434", 
          "https://doi.org/10.1038/nature01140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2009.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012473188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1375/twin.12.5.514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013009916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2014.08.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013298059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.608", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015057090", 
          "https://doi.org/10.1038/ng.608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.608", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015057090", 
          "https://doi.org/10.1038/ng.608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-4632.2007.03453.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015369314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2013.04.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023037248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-4632.2007.03454.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025988927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026438222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0040446", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029356491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0040072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030948598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0040072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030948598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddm355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031090897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajhg.2011.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031378484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031429813", 
          "https://doi.org/10.1038/ng1847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1847", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031429813", 
          "https://doi.org/10.1038/ng1847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.01.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031856813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036490983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.evolhumbehav.2005.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037451564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.evolhumbehav.2005.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037451564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1004234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038438273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038972494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043446290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044498957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1001371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047191706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047276303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047418980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.20795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052215556"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-11", 
    "datePublishedReg": "2016-11-01", 
    "description": "Hair straightness/curliness is one of the most conspicuous features of human variation and is particularly diverse among populations. A recent genome-wide scan found common variants in the Trichohyalin (TCHH) gene that are associated with hair straightness in Europeans, but different genes might affect this phenotype\u00a0in other populations. By sampling 2899 Han Chinese, we performed the first genome-wide scan of hair straightness in East Asians, and found EDAR (rs3827760) as the predominant gene (P\u00a0=\u00a04.67\u00a0\u00d7\u00a010-16), accounting for 3.66\u00a0% of the total variance. The candidate gene approach did not find further significant associations, suggesting that hair straightness may be affected by a large number of genes with subtle effects. Notably, genetic variants associated with hair straightness in Europeans are generally low in\u00a0frequency in Han Chinese, and vice versa. To evaluate the relative contribution of these variants, we performed a second genome-wide scan in 709 samples from the\u00a0Uyghur, an admixed population with both eastern and western Eurasian ancestries. In Uyghurs, both EDAR (rs3827760: P\u00a0=\u00a01.92\u00a0\u00d7\u00a010-12) and TCHH (rs11803731: P\u00a0=\u00a01.46\u00a0\u00d7\u00a010-3) are associated with hair straightness, but EDAR (OR 0.415) has a greater effect than TCHH (OR 0.575). We found no significant interaction between EDAR and TCHH (P\u00a0=\u00a00.645), suggesting that these two genes affect hair straightness through different mechanisms. Furthermore, haplotype analysis indicates that TCHH is not subject to selection. While EDAR is under strong selection in East Asia, it does not appear to be subject to selection after the admixture in Uyghurs. These suggest that hair straightness is unlikely a trait under selection.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00439-016-1718-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7192285", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7195898", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7193871", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5015660", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5589098", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4930965", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4997129", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1085982", 
        "issn": [
          "0340-6717", 
          "1432-1203"
        ], 
        "name": "Human Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "135"
      }
    ], 
    "name": "Genome-wide scans reveal variants at EDAR predominantly affecting hair straightness in Han Chinese and Uyghur populations", 
    "pagination": "1279-1286", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2685b02b424f788fdcb6eb2373f7de0e4670a07f8a857a0f608b0e4a8cb112a2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27487801"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7613873"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00439-016-1718-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008086063"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00439-016-1718-y", 
      "https://app.dimensions.ai/details/publication/pub.1008086063"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87115_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00439-016-1718-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00439-016-1718-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00439-016-1718-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00439-016-1718-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00439-016-1718-y'


 

This table displays all metadata directly associated to this object as RDF triples.

409 TRIPLES      21 PREDICATES      79 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00439-016-1718-y schema:about N054f2f55d6dc41dd980709776a1cc6e5
2 N0cbeec86b465450cae037450bb351a25
3 N1ca5851462874143bd8815a97f38c40a
4 N1cc71af6b28f4303b431c8b130665191
5 N2d51601d441f415f8c8b736f1d0c5a04
6 N3b9b33485e1c4a949921ba47e3518ada
7 N52048ce25c4e443b93e7184ecaba736e
8 N6fab98482a7543c6bd179d5e19874073
9 N8fa2c40be2be40deab5438a78c3bf42a
10 N9db52458cd3d4e838bbfa9cd272d61f1
11 Nad0aa8e799e04c7d86db92972d0a1014
12 Nad395f83e52b4d28b23040c6340a6483
13 Nc03da198c64343d9be849464646a68f4
14 Ne3f78fbb72f5467a8c9a188405587786
15 Nf0445cddb4434fe3a8a38d15183a270b
16 Nff04cc5f77454275bbe1874dedab0cde
17 anzsrc-for:06
18 anzsrc-for:0604
19 schema:author N3ef9b85ec8104ad0a4a2aa2f514f568b
20 schema:citation sg:pub.10.1007/s00439-013-1324-1
21 sg:pub.10.1038/nature01140
22 sg:pub.10.1038/ncomms10815
23 sg:pub.10.1038/ng.608
24 sg:pub.10.1038/ng1847
25 sg:pub.10.1038/nrg2796
26 sg:pub.10.1186/1471-2458-9-223
27 https://doi.org/10.1002/humu.20795
28 https://doi.org/10.1002/jrsm.13
29 https://doi.org/10.1002/sim.1186
30 https://doi.org/10.1016/j.ajhg.2009.10.009
31 https://doi.org/10.1016/j.ajhg.2010.11.011
32 https://doi.org/10.1016/j.ajhg.2011.04.014
33 https://doi.org/10.1016/j.ajhg.2013.04.021
34 https://doi.org/10.1016/j.ajhg.2014.08.011
35 https://doi.org/10.1016/j.cell.2013.01.016
36 https://doi.org/10.1016/j.evolhumbehav.2005.07.002
37 https://doi.org/10.1086/519795
38 https://doi.org/10.1093/bioinformatics/btq340
39 https://doi.org/10.1093/bioinformatics/btq419
40 https://doi.org/10.1093/bioinformatics/bts115
41 https://doi.org/10.1093/hmg/ddm355
42 https://doi.org/10.1111/j.1365-4632.2007.03453.x
43 https://doi.org/10.1111/j.1365-4632.2007.03454.x
44 https://doi.org/10.1111/j.1755-0998.2009.02591.x
45 https://doi.org/10.1126/science.1183863
46 https://doi.org/10.1371/journal.pbio.0040072
47 https://doi.org/10.1371/journal.pbio.0040446
48 https://doi.org/10.1371/journal.pgen.1000519
49 https://doi.org/10.1371/journal.pgen.1000529
50 https://doi.org/10.1371/journal.pgen.1000993
51 https://doi.org/10.1371/journal.pgen.1001371
52 https://doi.org/10.1371/journal.pgen.1004234
53 https://doi.org/10.1375/twin.12.5.514
54 schema:datePublished 2016-11
55 schema:datePublishedReg 2016-11-01
56 schema:description Hair straightness/curliness is one of the most conspicuous features of human variation and is particularly diverse among populations. A recent genome-wide scan found common variants in the Trichohyalin (TCHH) gene that are associated with hair straightness in Europeans, but different genes might affect this phenotype in other populations. By sampling 2899 Han Chinese, we performed the first genome-wide scan of hair straightness in East Asians, and found EDAR (rs3827760) as the predominant gene (P = 4.67 × 10<sup>-16</sup>), accounting for 3.66 % of the total variance. The candidate gene approach did not find further significant associations, suggesting that hair straightness may be affected by a large number of genes with subtle effects. Notably, genetic variants associated with hair straightness in Europeans are generally low in frequency in Han Chinese, and vice versa. To evaluate the relative contribution of these variants, we performed a second genome-wide scan in 709 samples from the Uyghur, an admixed population with both eastern and western Eurasian ancestries. In Uyghurs, both EDAR (rs3827760: P = 1.92 × 10<sup>-12</sup>) and TCHH (rs11803731: P = 1.46 × 10<sup>-3</sup>) are associated with hair straightness, but EDAR (OR 0.415) has a greater effect than TCHH (OR 0.575). We found no significant interaction between EDAR and TCHH (P = 0.645), suggesting that these two genes affect hair straightness through different mechanisms. Furthermore, haplotype analysis indicates that TCHH is not subject to selection. While EDAR is under strong selection in East Asia, it does not appear to be subject to selection after the admixture in Uyghurs. These suggest that hair straightness is unlikely a trait under selection.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N86c21622f5a74660ad45cdd8b2c6578e
61 Neca4b595b0174af6aa6fa170a23d7c73
62 sg:journal.1085982
63 schema:name Genome-wide scans reveal variants at EDAR predominantly affecting hair straightness in Han Chinese and Uyghur populations
64 schema:pagination 1279-1286
65 schema:productId N4bdbab755aa5476e80427c31a15274ab
66 N54756d50947a46c9855719f294e90aed
67 N86e20be4e1c74a40a280e7c6be911e79
68 Necdd4d065c1d4d54a08a5746660d67f6
69 Nf646701ad73f44fda03a681ac16c29ed
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008086063
71 https://doi.org/10.1007/s00439-016-1718-y
72 schema:sdDatePublished 2019-04-11T12:26
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N845bd28a23d444a7be0e728ac24d4927
75 schema:url https://link.springer.com/10.1007%2Fs00439-016-1718-y
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N054f2f55d6dc41dd980709776a1cc6e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Phenotype
81 rdf:type schema:DefinedTerm
82 N0cbeec86b465450cae037450bb351a25 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Humans
84 rdf:type schema:DefinedTerm
85 N0d2c8ad81ba44659a36d7ee4f208fe0c rdf:first sg:person.01240703370.01
86 rdf:rest N519c48388cb44084974dd83c37e31697
87 N127ee12758fc4639ac87fb5dfed37b0b rdf:first sg:person.01005222227.43
88 rdf:rest Nf2901a6c75f9400f9d72ba5ca422d177
89 N12d2f9d5066c41bdb920fe42fa4ea4fc rdf:first sg:person.01010416465.37
90 rdf:rest N4f38e5db40634ffbb1d0d6d5cf5e845a
91 N1ca5851462874143bd8815a97f38c40a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Gene Frequency
93 rdf:type schema:DefinedTerm
94 N1cc71af6b28f4303b431c8b130665191 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Male
96 rdf:type schema:DefinedTerm
97 N20041bd222af4005abf8306c9de37025 rdf:first sg:person.01132575344.10
98 rdf:rest Nd5695ebe4df14cbb97555e71929d93c0
99 N285a053041504307bfcad39968da4426 rdf:first sg:person.01307016570.20
100 rdf:rest N6fcbb64a78324a9a81cca7d75e08dff2
101 N2d51601d441f415f8c8b736f1d0c5a04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Haplotypes
103 rdf:type schema:DefinedTerm
104 N3b9b33485e1c4a949921ba47e3518ada schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Asian Continental Ancestry Group
106 rdf:type schema:DefinedTerm
107 N3ef9b85ec8104ad0a4a2aa2f514f568b rdf:first sg:person.01307206665.97
108 rdf:rest N90f3703cafe84d028e2463547f37135a
109 N4bdbab755aa5476e80427c31a15274ab schema:name pubmed_id
110 schema:value 27487801
111 rdf:type schema:PropertyValue
112 N4d6f9c5f10a84435a47fb10bfed3e437 rdf:first sg:person.0675220571.65
113 rdf:rest Ndeb015c4a33747f8b9d4e701baf1eb9e
114 N4f38e5db40634ffbb1d0d6d5cf5e845a rdf:first sg:person.01034060444.09
115 rdf:rest N20041bd222af4005abf8306c9de37025
116 N519c48388cb44084974dd83c37e31697 rdf:first sg:person.01142676115.40
117 rdf:rest N285a053041504307bfcad39968da4426
118 N52048ce25c4e443b93e7184ecaba736e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name European Continental Ancestry Group
120 rdf:type schema:DefinedTerm
121 N54756d50947a46c9855719f294e90aed schema:name nlm_unique_id
122 schema:value 7613873
123 rdf:type schema:PropertyValue
124 N6bcc7dc86da74974b65b6515b387a93c rdf:first sg:person.07763550667.55
125 rdf:rest N4d6f9c5f10a84435a47fb10bfed3e437
126 N6fab98482a7543c6bd179d5e19874073 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Intermediate Filament Proteins
128 rdf:type schema:DefinedTerm
129 N6fcbb64a78324a9a81cca7d75e08dff2 rdf:first sg:person.01336632622.29
130 rdf:rest N8fd6c78f6ec64ed09851e75bccce3ca9
131 N70c81b98d42047e7986bbbd5ce563498 rdf:first sg:person.01345405437.22
132 rdf:rest N7d22090924c441ecbe4a4e84ac289516
133 N7d22090924c441ecbe4a4e84ac289516 rdf:first sg:person.01325425117.52
134 rdf:rest N12d2f9d5066c41bdb920fe42fa4ea4fc
135 N845bd28a23d444a7be0e728ac24d4927 schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 N86c21622f5a74660ad45cdd8b2c6578e schema:issueNumber 11
138 rdf:type schema:PublicationIssue
139 N86e20be4e1c74a40a280e7c6be911e79 schema:name doi
140 schema:value 10.1007/s00439-016-1718-y
141 rdf:type schema:PropertyValue
142 N8fa2c40be2be40deab5438a78c3bf42a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Female
144 rdf:type schema:DefinedTerm
145 N8fd6c78f6ec64ed09851e75bccce3ca9 rdf:first sg:person.01257124515.32
146 rdf:rest N70c81b98d42047e7986bbbd5ce563498
147 N90f3703cafe84d028e2463547f37135a rdf:first sg:person.01125276222.54
148 rdf:rest Nf64911fab8934e0b855263132eeecc76
149 N9db52458cd3d4e838bbfa9cd272d61f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Genetic Predisposition to Disease
151 rdf:type schema:DefinedTerm
152 Nad0aa8e799e04c7d86db92972d0a1014 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name China
154 rdf:type schema:DefinedTerm
155 Nad395f83e52b4d28b23040c6340a6483 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Antigens
157 rdf:type schema:DefinedTerm
158 Nc03da198c64343d9be849464646a68f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Hair
160 rdf:type schema:DefinedTerm
161 Nd5695ebe4df14cbb97555e71929d93c0 rdf:first sg:person.0677641070.13
162 rdf:rest Nfc3b7f992f63437e9373942ec7b297ee
163 Ndeb015c4a33747f8b9d4e701baf1eb9e rdf:first sg:person.01041551165.40
164 rdf:rest rdf:nil
165 Ne3f78fbb72f5467a8c9a188405587786 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Polymorphism, Single Nucleotide
167 rdf:type schema:DefinedTerm
168 Neca4b595b0174af6aa6fa170a23d7c73 schema:volumeNumber 135
169 rdf:type schema:PublicationVolume
170 Necdd4d065c1d4d54a08a5746660d67f6 schema:name dimensions_id
171 schema:value pub.1008086063
172 rdf:type schema:PropertyValue
173 Nf0445cddb4434fe3a8a38d15183a270b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Edar Receptor
175 rdf:type schema:DefinedTerm
176 Nf2901a6c75f9400f9d72ba5ca422d177 rdf:first sg:person.0737447452.18
177 rdf:rest N6bcc7dc86da74974b65b6515b387a93c
178 Nf646701ad73f44fda03a681ac16c29ed schema:name readcube_id
179 schema:value 2685b02b424f788fdcb6eb2373f7de0e4670a07f8a857a0f608b0e4a8cb112a2
180 rdf:type schema:PropertyValue
181 Nf64911fab8934e0b855263132eeecc76 rdf:first sg:person.0704051162.39
182 rdf:rest N0d2c8ad81ba44659a36d7ee4f208fe0c
183 Nfc3b7f992f63437e9373942ec7b297ee rdf:first sg:person.0772575234.33
184 rdf:rest N127ee12758fc4639ac87fb5dfed37b0b
185 Nff04cc5f77454275bbe1874dedab0cde schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Genome-Wide Association Study
187 rdf:type schema:DefinedTerm
188 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
189 schema:name Biological Sciences
190 rdf:type schema:DefinedTerm
191 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
192 schema:name Genetics
193 rdf:type schema:DefinedTerm
194 sg:grant.4930965 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
195 rdf:type schema:MonetaryGrant
196 sg:grant.4997129 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
197 rdf:type schema:MonetaryGrant
198 sg:grant.5015660 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
199 rdf:type schema:MonetaryGrant
200 sg:grant.5589098 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
201 rdf:type schema:MonetaryGrant
202 sg:grant.7192285 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
203 rdf:type schema:MonetaryGrant
204 sg:grant.7193871 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
205 rdf:type schema:MonetaryGrant
206 sg:grant.7195898 http://pending.schema.org/fundedItem sg:pub.10.1007/s00439-016-1718-y
207 rdf:type schema:MonetaryGrant
208 sg:journal.1085982 schema:issn 0340-6717
209 1432-1203
210 schema:name Human Genetics
211 rdf:type schema:Periodical
212 sg:person.01005222227.43 schema:affiliation https://www.grid.ac/institutes/grid.435557.5
213 schema:familyName Krutmann
214 schema:givenName Jean
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005222227.43
216 rdf:type schema:Person
217 sg:person.01010416465.37 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
218 schema:familyName Lu
219 schema:givenName Yan
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010416465.37
221 rdf:type schema:Person
222 sg:person.01034060444.09 schema:affiliation https://www.grid.ac/institutes/grid.13394.3c
223 schema:familyName Guan
224 schema:givenName Yaqun
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034060444.09
226 rdf:type schema:Person
227 sg:person.01041551165.40 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
228 schema:familyName Wang
229 schema:givenName Sijia
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041551165.40
231 rdf:type schema:Person
232 sg:person.01125276222.54 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
233 schema:familyName Tan
234 schema:givenName Jingze
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125276222.54
236 rdf:type schema:Person
237 sg:person.01132575344.10 schema:affiliation https://www.grid.ac/institutes/grid.13394.3c
238 schema:familyName Zhang
239 schema:givenName Zhaoxia
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132575344.10
241 rdf:type schema:Person
242 sg:person.01142676115.40 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
243 schema:familyName Zhang
244 schema:givenName Manfei
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142676115.40
246 rdf:type schema:Person
247 sg:person.01240703370.01 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
248 schema:familyName Peng
249 schema:givenName Qianqian
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240703370.01
251 rdf:type schema:Person
252 sg:person.01257124515.32 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
253 schema:familyName Liu
254 schema:givenName Yu
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257124515.32
256 rdf:type schema:Person
257 sg:person.01307016570.20 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
258 schema:familyName Li
259 schema:givenName Jinxi
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307016570.20
261 rdf:type schema:Person
262 sg:person.01307206665.97 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
263 schema:familyName Wu
264 schema:givenName Sijie
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307206665.97
266 rdf:type schema:Person
267 sg:person.01325425117.52 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
268 schema:familyName Feng
269 schema:givenName Qidi
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325425117.52
271 rdf:type schema:Person
272 sg:person.01336632622.29 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
273 schema:familyName Lu
274 schema:givenName Dongsheng
275 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336632622.29
276 rdf:type schema:Person
277 sg:person.01345405437.22 schema:affiliation https://www.grid.ac/institutes/grid.419092.7
278 schema:familyName Lou
279 schema:givenName Haiyi
280 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345405437.22
281 rdf:type schema:Person
282 sg:person.0675220571.65 schema:affiliation https://www.grid.ac/institutes/grid.440637.2
283 schema:familyName Xu
284 schema:givenName Shuhua
285 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675220571.65
286 rdf:type schema:Person
287 sg:person.0677641070.13 schema:affiliation https://www.grid.ac/institutes/grid.13394.3c
288 schema:familyName Jiao
289 schema:givenName Yi
290 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677641070.13
291 rdf:type schema:Person
292 sg:person.0704051162.39 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
293 schema:familyName Yang
294 schema:givenName Yajun
295 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704051162.39
296 rdf:type schema:Person
297 sg:person.0737447452.18 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
298 schema:familyName Tang
299 schema:givenName Kun
300 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737447452.18
301 rdf:type schema:Person
302 sg:person.0772575234.33 schema:affiliation https://www.grid.ac/institutes/grid.66859.34
303 schema:familyName Sabeti
304 schema:givenName Pardis
305 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772575234.33
306 rdf:type schema:Person
307 sg:person.07763550667.55 schema:affiliation https://www.grid.ac/institutes/grid.8547.e
308 schema:familyName Jin
309 schema:givenName Li
310 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07763550667.55
311 rdf:type schema:Person
312 sg:pub.10.1007/s00439-013-1324-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009930709
313 https://doi.org/10.1007/s00439-013-1324-1
314 rdf:type schema:CreativeWork
315 sg:pub.10.1038/nature01140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010666434
316 https://doi.org/10.1038/nature01140
317 rdf:type schema:CreativeWork
318 sg:pub.10.1038/ncomms10815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001960746
319 https://doi.org/10.1038/ncomms10815
320 rdf:type schema:CreativeWork
321 sg:pub.10.1038/ng.608 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015057090
322 https://doi.org/10.1038/ng.608
323 rdf:type schema:CreativeWork
324 sg:pub.10.1038/ng1847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031429813
325 https://doi.org/10.1038/ng1847
326 rdf:type schema:CreativeWork
327 sg:pub.10.1038/nrg2796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009739594
328 https://doi.org/10.1038/nrg2796
329 rdf:type schema:CreativeWork
330 sg:pub.10.1186/1471-2458-9-223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004510962
331 https://doi.org/10.1186/1471-2458-9-223
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1002/humu.20795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052215556
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1002/jrsm.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007898364
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1002/sim.1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047418980
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1016/j.ajhg.2009.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012473188
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1016/j.ajhg.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009497006
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1016/j.ajhg.2011.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031378484
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1016/j.ajhg.2013.04.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023037248
346 rdf:type schema:CreativeWork
347 https://doi.org/10.1016/j.ajhg.2014.08.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013298059
348 rdf:type schema:CreativeWork
349 https://doi.org/10.1016/j.cell.2013.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031856813
350 rdf:type schema:CreativeWork
351 https://doi.org/10.1016/j.evolhumbehav.2005.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037451564
352 rdf:type schema:CreativeWork
353 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
354 rdf:type schema:CreativeWork
355 https://doi.org/10.1093/bioinformatics/btq340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047276303
356 rdf:type schema:CreativeWork
357 https://doi.org/10.1093/bioinformatics/btq419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036490983
358 rdf:type schema:CreativeWork
359 https://doi.org/10.1093/bioinformatics/bts115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026438222
360 rdf:type schema:CreativeWork
361 https://doi.org/10.1093/hmg/ddm355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031090897
362 rdf:type schema:CreativeWork
363 https://doi.org/10.1111/j.1365-4632.2007.03453.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015369314
364 rdf:type schema:CreativeWork
365 https://doi.org/10.1111/j.1365-4632.2007.03454.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025988927
366 rdf:type schema:CreativeWork
367 https://doi.org/10.1111/j.1755-0998.2009.02591.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001719382
368 rdf:type schema:CreativeWork
369 https://doi.org/10.1126/science.1183863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000390264
370 rdf:type schema:CreativeWork
371 https://doi.org/10.1371/journal.pbio.0040072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030948598
372 rdf:type schema:CreativeWork
373 https://doi.org/10.1371/journal.pbio.0040446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029356491
374 rdf:type schema:CreativeWork
375 https://doi.org/10.1371/journal.pgen.1000519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044498957
376 rdf:type schema:CreativeWork
377 https://doi.org/10.1371/journal.pgen.1000529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043446290
378 rdf:type schema:CreativeWork
379 https://doi.org/10.1371/journal.pgen.1000993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038972494
380 rdf:type schema:CreativeWork
381 https://doi.org/10.1371/journal.pgen.1001371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047191706
382 rdf:type schema:CreativeWork
383 https://doi.org/10.1371/journal.pgen.1004234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038438273
384 rdf:type schema:CreativeWork
385 https://doi.org/10.1375/twin.12.5.514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013009916
386 rdf:type schema:CreativeWork
387 https://www.grid.ac/institutes/grid.13394.3c schema:alternateName Xinjiang Medical University
388 schema:name Department of Biochemistry, Preclinical Medicine College, Xinjiang Medical University, 830011, Urumqi, China
389 rdf:type schema:Organization
390 https://www.grid.ac/institutes/grid.419092.7 schema:alternateName Shanghai Institutes for Biological Sciences
391 schema:name Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China
392 rdf:type schema:Organization
393 https://www.grid.ac/institutes/grid.435557.5 schema:alternateName Leibniz Institute of Environmental Medicine
394 schema:name IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany
395 rdf:type schema:Organization
396 https://www.grid.ac/institutes/grid.440637.2 schema:alternateName ShanghaiTech University
397 schema:name Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China
398 School of Life Science and Technology, ShanghaiTech University, 200031, Shanghai, China
399 State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China
400 rdf:type schema:Organization
401 https://www.grid.ac/institutes/grid.66859.34 schema:alternateName Broad Institute
402 schema:name Department of Organismic and Evolutionary Biology, Center for Systems Biology, Harvard University, 02138, Cambridge, MA, USA
403 The Broad Institute of MIT and Harvard, 02142, Cambridge, MA, USA
404 rdf:type schema:Organization
405 https://www.grid.ac/institutes/grid.8547.e schema:alternateName Fudan University
406 schema:name Fudan-Taizhou Institute of Health Sciences, 225300, Taizhou, Jiangsu, China
407 Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, 320 YueYang Road, 200031, Shanghai, China
408 State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 200438, Shanghai, China
409 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...