Common variant of BCAS3 is associated with gout risk in Japanese population: the first replication study after gout GWAS in ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Masayuki Sakiyama, Hirotaka Matsuo, Hirofumi Nakaoka, Yusuke Kawamura, Makoto Kawaguchi, Toshihide Higashino, Akiyoshi Nakayama, Airi Akashi, Jun Ueyama, Takaaki Kondo, Kenji Wakai, Yutaka Sakurai, Ken Yamamoto, Hiroshi Ooyama, Nariyoshi Shinomiya

ABSTRACT

BACKGROUND: Gout is a common disease resulting from hyperuricemia which causes acute arthritis. A recent genome-wide association study (GWAS) of gout identified three new loci for gout in Han Chinese: regulatory factor X3 (RFX3), potassium voltage-gated channel subfamily Q member 1 (KCNQ1), and breast carcinoma amplified sequence 3 (BCAS3). The lack of any replication studies of these three loci using other population groups prompted us to perform a replication study with Japanese clinically defined gout cases and controls. METHODS: We genotyped the variants of RFX3 (rs12236871), KCNQ1 (rs179785) and BCAS3 (rs11653176) in 723 Japanese clinically defined gout cases and 913 controls by TaqMan method. rs179785 of KCNQ1 is also evaluated by direct sequencing because of difficulties of its genotyping by TaqMan method. RESULTS: Although the variants of RFX3 and BCAS3 were clearly genotyped by TaqMan method, rs179785 of KCNQ1 was not, because rs179785 (A/G) of KCNQ1 is located at the last nucleotide ("A") of the 12-bp deletion variant (rs200562977) of KCNQ1. Therefore, rs179785 and rs200562977 of KCNQ1 were genotyped by direct sequencing in all samples. Moreover, by direct sequencing with the same primers, we were able to evaluate the genotypes of rs179784 of KCNQ1 which shows strong linkage disequilibrium with rs179785 (D' = 1.0 and r 2 = 0.99). rs11653176, a common variant of BCAS3, showed a significant association with gout (P = 1.66 × 10- 3; odds ratio [OR] = 0.80); the direction of effect was the same as that seen in the previous Han Chinese GWAS. Two variants of KCNQ1 (rs179785 and rs179784) had a nominally significant association (P = 0.043 and 0.044; OR = 0.85 and 0.86, respectively), but did not pass the significance threshold for multiple hypothesis testing using the Bonferroni correction. On the other hand, rs200562977 of KCNQ1 and rs12236871 of RFX3 did not show any significant association with gout. CONCLUSION: BCAS3 is a coactivator of estrogen receptor alpha, and the influence of estrogen to serum uric acid level is well known. Our present replication study, as did the previous gout GWAS, demonstrated the common variant of BCAS3 to be associated with gout susceptibility. More... »

PAGES

96

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12881-018-0583-z

DOI

http://dx.doi.org/10.1186/s12881-018-0583-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104457218

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29879923


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": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "China", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome-Wide Association Study", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gout", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan", 
            "Department of Dermatology, National Defense Medical College, Tokorozawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakiyama", 
        "givenName": "Masayuki", 
        "id": "sg:person.0616220414.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616220414.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsuo", 
        "givenName": "Hirotaka", 
        "id": "sg:person.013767233432.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013767233432.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Genetics", 
          "id": "https://www.grid.ac/institutes/grid.288127.6", 
          "name": [
            "Division of Human Genetics, Department of Integrated Genetics, National Institute of Genetics, Mishima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakaoka", 
        "givenName": "Hirofumi", 
        "id": "sg:person.0753323522.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753323522.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawamura", 
        "givenName": "Yusuke", 
        "id": "sg:person.01146746132.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146746132.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawaguchi", 
        "givenName": "Makoto", 
        "id": "sg:person.014476405361.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014476405361.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Higashino", 
        "givenName": "Toshihide", 
        "id": "sg:person.01324103321.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324103321.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakayama", 
        "givenName": "Akiyoshi", 
        "id": "sg:person.0660472514.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660472514.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akashi", 
        "givenName": "Airi", 
        "id": "sg:person.01036360632.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036360632.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Program in Radiological and Medical Laboratory Sciences, Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ueyama", 
        "givenName": "Jun", 
        "id": "sg:person.01215332544.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215332544.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Program in Radiological and Medical Laboratory Sciences, Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kondo", 
        "givenName": "Takaaki", 
        "id": "sg:person.014402246312.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014402246312.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wakai", 
        "givenName": "Kenji", 
        "id": "sg:person.01201342404.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201342404.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakurai", 
        "givenName": "Yutaka", 
        "id": "sg:person.01211254076.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211254076.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kurume University", 
          "id": "https://www.grid.ac/institutes/grid.410781.b", 
          "name": [
            "Department of Medical Chemistry, Kurume University School of Medicine, Kurume, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamamoto", 
        "givenName": "Ken", 
        "id": "sg:person.014345014164.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014345014164.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Ryougoku East Gate Clinic, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ooyama", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01145706061.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145706061.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Defense Medical College", 
          "id": "https://www.grid.ac/institutes/grid.416614.0", 
          "name": [
            "Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shinomiya", 
        "givenName": "Nariyoshi", 
        "id": "sg:person.0736166676.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736166676.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.0901249106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000358939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0601989103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002145538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep02014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006103959", 
          "https://doi.org/10.1038/srep02014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep25360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007210218", 
          "https://doi.org/10.1038/srep25360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gcc.10121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008032441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010608717", 
          "https://doi.org/10.1038/nature09534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010608717", 
          "https://doi.org/10.1038/nature09534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2014-206191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013679570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2014-206191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013679570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2014-206191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013679570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020612247", 
          "https://doi.org/10.1038/ng.972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021326074", 
          "https://doi.org/10.1038/ng.2500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms8041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031524864", 
          "https://doi.org/10.1038/ncomms8041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.1780200320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038240668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13577-013-0081-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044445146", 
          "https://doi.org/10.1007/s13577-013-0081-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar2519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049059733", 
          "https://doi.org/10.1186/ar2519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1530/acta.0.0850198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051163777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scitranslmed.3000237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062686467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scitranslmed.3000237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062686467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2016-209632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062759443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2016-209632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062759443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077463706", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Gout is a common disease resulting from hyperuricemia which causes acute arthritis. A recent genome-wide association study (GWAS) of gout identified three new loci for gout in Han Chinese: regulatory factor X3 (RFX3), potassium voltage-gated channel subfamily Q member 1 (KCNQ1), and breast carcinoma amplified sequence 3 (BCAS3). The lack of any replication studies of these three loci using other population groups prompted us to perform a replication study with Japanese clinically defined gout cases and controls.\nMETHODS: We genotyped the variants of RFX3 (rs12236871), KCNQ1 (rs179785) and BCAS3 (rs11653176) in 723 Japanese clinically defined gout cases and 913 controls by TaqMan method. rs179785 of KCNQ1 is also evaluated by direct sequencing because of difficulties of its genotyping by TaqMan method.\nRESULTS: Although the variants of RFX3 and BCAS3 were clearly genotyped by TaqMan method, rs179785 of KCNQ1 was not, because rs179785 (A/G) of KCNQ1 is located at the last nucleotide (\"A\") of the 12-bp deletion variant (rs200562977) of KCNQ1. Therefore, rs179785 and rs200562977 of KCNQ1 were genotyped by direct sequencing in all samples. Moreover, by direct sequencing with the same primers, we were able to evaluate the genotypes of rs179784 of KCNQ1 which shows strong linkage disequilibrium with rs179785 (D'\u2009=\u20091.0 and r 2 \u2009=\u20090.99). rs11653176, a common variant of BCAS3, showed a significant association with gout (P\u2009=\u20091.66\u2009\u00d7\u200910-\u20093; odds ratio [OR]\u2009=\u20090.80); the direction of effect was the same as that seen in the previous Han Chinese GWAS. Two variants of KCNQ1 (rs179785 and rs179784) had a nominally significant association (P\u2009=\u20090.043 and 0.044; OR\u2009=\u20090.85 and 0.86, respectively), but did not pass the significance threshold for multiple hypothesis testing using the Bonferroni correction. On the other hand, rs200562977 of KCNQ1 and rs12236871 of RFX3 did not show any significant association with gout.\nCONCLUSION: BCAS3 is a coactivator of estrogen receptor alpha, and the influence of estrogen to serum uric acid level is well known. Our present replication study, as did the previous gout GWAS, demonstrated the common variant of BCAS3 to be associated with gout susceptibility.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12881-018-0583-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5926676", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6536252", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6957204", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6113552", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6027344", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6822094", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6957203", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6029765", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024947", 
        "issn": [
          "1471-2350"
        ], 
        "name": "BMC Medical Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Common variant of BCAS3 is associated with gout risk in Japanese population: the first replication study after gout GWAS in Han Chinese", 
    "pagination": "96", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "655a514f175e8627facf76e999b38c3a06db4ad47c88958bfd64dfafcd3202b6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29879923"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968552"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12881-018-0583-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104457218"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12881-018-0583-z", 
      "https://app.dimensions.ai/details/publication/pub.1104457218"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:40", 
    "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/v90/0000000363_0000000363/records_70049_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12881-018-0583-z"
  }
]
 

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.10.1186/s12881-018-0583-z'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12881-018-0583-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12881-018-0583-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12881-018-0583-z'


 

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

310 TRIPLES      21 PREDICATES      60 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12881-018-0583-z schema:about N2b6c3c2e00c74e38b6f71493361347b6
2 N2f5f108d14204b27902be61471c3d97f
3 N39c78ced35534544b051344174eaf638
4 N4b8bebf73fca43c1a70e45c96efd9afe
5 N725b81b1ac104764b48341cd665db26f
6 N79458de05f4f410c9167e2ae73080080
7 N7f7e5d6ad0b043f79bc6d40b32c24cd4
8 N90b61763a99743debc1cf40c97e48cac
9 N9918a73c8afd4f85a332e85583f572b7
10 N9e19692e08c04acaabcbee1be8d89bc8
11 Nba28ce45504b41bd897dd7bd427bbfd8
12 Nf2a7534a13c44b3b81e147adb69bb34d
13 Nf7418967a8674fe8982050f01589e02c
14 Nfb85a152483d4c629b6ddc172b16ae58
15 anzsrc-for:06
16 anzsrc-for:0604
17 schema:author Nc4dfbe31d43e43b49fecc66f1d7a17ad
18 schema:citation sg:pub.10.1007/s13577-013-0081-8
19 sg:pub.10.1038/nature09534
20 sg:pub.10.1038/ncomms8041
21 sg:pub.10.1038/ng.2500
22 sg:pub.10.1038/ng.972
23 sg:pub.10.1038/srep02014
24 sg:pub.10.1038/srep25360
25 sg:pub.10.1186/ar2519
26 https://app.dimensions.ai/details/publication/pub.1077463706
27 https://doi.org/10.1002/art.1780200320
28 https://doi.org/10.1002/gcc.10121
29 https://doi.org/10.1073/pnas.0601989103
30 https://doi.org/10.1073/pnas.0901249106
31 https://doi.org/10.1126/scitranslmed.3000237
32 https://doi.org/10.1136/annrheumdis-2014-206191
33 https://doi.org/10.1136/annrheumdis-2016-209632
34 https://doi.org/10.1530/acta.0.0850198
35 schema:datePublished 2018-12
36 schema:datePublishedReg 2018-12-01
37 schema:description BACKGROUND: Gout is a common disease resulting from hyperuricemia which causes acute arthritis. A recent genome-wide association study (GWAS) of gout identified three new loci for gout in Han Chinese: regulatory factor X3 (RFX3), potassium voltage-gated channel subfamily Q member 1 (KCNQ1), and breast carcinoma amplified sequence 3 (BCAS3). The lack of any replication studies of these three loci using other population groups prompted us to perform a replication study with Japanese clinically defined gout cases and controls. METHODS: We genotyped the variants of RFX3 (rs12236871), KCNQ1 (rs179785) and BCAS3 (rs11653176) in 723 Japanese clinically defined gout cases and 913 controls by TaqMan method. rs179785 of KCNQ1 is also evaluated by direct sequencing because of difficulties of its genotyping by TaqMan method. RESULTS: Although the variants of RFX3 and BCAS3 were clearly genotyped by TaqMan method, rs179785 of KCNQ1 was not, because rs179785 (A/G) of KCNQ1 is located at the last nucleotide ("A") of the 12-bp deletion variant (rs200562977) of KCNQ1. Therefore, rs179785 and rs200562977 of KCNQ1 were genotyped by direct sequencing in all samples. Moreover, by direct sequencing with the same primers, we were able to evaluate the genotypes of rs179784 of KCNQ1 which shows strong linkage disequilibrium with rs179785 (D' = 1.0 and r 2  = 0.99). rs11653176, a common variant of BCAS3, showed a significant association with gout (P = 1.66 × 10- 3; odds ratio [OR] = 0.80); the direction of effect was the same as that seen in the previous Han Chinese GWAS. Two variants of KCNQ1 (rs179785 and rs179784) had a nominally significant association (P = 0.043 and 0.044; OR = 0.85 and 0.86, respectively), but did not pass the significance threshold for multiple hypothesis testing using the Bonferroni correction. On the other hand, rs200562977 of KCNQ1 and rs12236871 of RFX3 did not show any significant association with gout. CONCLUSION: BCAS3 is a coactivator of estrogen receptor alpha, and the influence of estrogen to serum uric acid level is well known. Our present replication study, as did the previous gout GWAS, demonstrated the common variant of BCAS3 to be associated with gout susceptibility.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N3045644c2e684945b7c276a928f56ff3
42 N6bf3248c7fb74db882cc28801f861e87
43 sg:journal.1024947
44 schema:name Common variant of BCAS3 is associated with gout risk in Japanese population: the first replication study after gout GWAS in Han Chinese
45 schema:pagination 96
46 schema:productId N2189d87b0756471b86cdb7ede00871e2
47 N32551f8160124b5981c7bf3bacd4e5ea
48 N6b20f19a12c04ebbb177f3cc87a74aac
49 N7b2dabbc511c47f594a856721e8e8cd6
50 Nf4dda95c91864d1da48468dc5dc31506
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104457218
52 https://doi.org/10.1186/s12881-018-0583-z
53 schema:sdDatePublished 2019-04-11T12:40
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N1833f4a267eb4bb692df2eedee82a540
56 schema:url https://link.springer.com/10.1186%2Fs12881-018-0583-z
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0a6c20cb837446e4b8db335018e09d00 schema:name Ryougoku East Gate Clinic, Tokyo, Japan
61 rdf:type schema:Organization
62 N1833f4a267eb4bb692df2eedee82a540 schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 N18c3af1ad2654cfbace37fae0921bc2d rdf:first sg:person.01146746132.43
65 rdf:rest N6f7a3739134e4131a096debb6d0260c5
66 N1cc520b83db04466ba0b35d10ccd23ed rdf:first sg:person.0736166676.13
67 rdf:rest rdf:nil
68 N2189d87b0756471b86cdb7ede00871e2 schema:name pubmed_id
69 schema:value 29879923
70 rdf:type schema:PropertyValue
71 N2908fd471d3b4d8a934378eb4e2e8cc2 rdf:first sg:person.01324103321.76
72 rdf:rest N459cdd0fa0e742ce93d262075c1ef8a2
73 N2b6c3c2e00c74e38b6f71493361347b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Case-Control Studies
75 rdf:type schema:DefinedTerm
76 N2f5f108d14204b27902be61471c3d97f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Genome-Wide Association Study
78 rdf:type schema:DefinedTerm
79 N3045644c2e684945b7c276a928f56ff3 schema:volumeNumber 19
80 rdf:type schema:PublicationVolume
81 N32551f8160124b5981c7bf3bacd4e5ea schema:name nlm_unique_id
82 schema:value 100968552
83 rdf:type schema:PropertyValue
84 N39c78ced35534544b051344174eaf638 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Polymorphism, Single Nucleotide
86 rdf:type schema:DefinedTerm
87 N459cdd0fa0e742ce93d262075c1ef8a2 rdf:first sg:person.0660472514.51
88 rdf:rest N75ce0b36d2954ba7ae3b64f0d40a89a5
89 N4b8bebf73fca43c1a70e45c96efd9afe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Genotype
91 rdf:type schema:DefinedTerm
92 N4f310209d7e8420d864f056765f09b6a rdf:first sg:person.01215332544.73
93 rdf:rest Ncf4dd727bed146c6957a4f7146147768
94 N5056d5c8bd44494a998714db72514145 rdf:first sg:person.014345014164.08
95 rdf:rest N7f8a917a7ea04f18880b199f975c2cf5
96 N5be96eb19d824df39323c0c1faf6dc4b rdf:first sg:person.0753323522.39
97 rdf:rest N18c3af1ad2654cfbace37fae0921bc2d
98 N5faf76c481a8492e92e0cea1688a3230 rdf:first sg:person.01201342404.32
99 rdf:rest Nfb2c22f14c81409e915d2ef70d689cc6
100 N6b20f19a12c04ebbb177f3cc87a74aac schema:name dimensions_id
101 schema:value pub.1104457218
102 rdf:type schema:PropertyValue
103 N6bf3248c7fb74db882cc28801f861e87 schema:issueNumber 1
104 rdf:type schema:PublicationIssue
105 N6f7a3739134e4131a096debb6d0260c5 rdf:first sg:person.014476405361.80
106 rdf:rest N2908fd471d3b4d8a934378eb4e2e8cc2
107 N725b81b1ac104764b48341cd665db26f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Prognosis
109 rdf:type schema:DefinedTerm
110 N75ce0b36d2954ba7ae3b64f0d40a89a5 rdf:first sg:person.01036360632.51
111 rdf:rest N4f310209d7e8420d864f056765f09b6a
112 N79458de05f4f410c9167e2ae73080080 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Male
114 rdf:type schema:DefinedTerm
115 N7b2dabbc511c47f594a856721e8e8cd6 schema:name doi
116 schema:value 10.1186/s12881-018-0583-z
117 rdf:type schema:PropertyValue
118 N7f7e5d6ad0b043f79bc6d40b32c24cd4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Asian Continental Ancestry Group
120 rdf:type schema:DefinedTerm
121 N7f8a917a7ea04f18880b199f975c2cf5 rdf:first sg:person.01145706061.86
122 rdf:rest N1cc520b83db04466ba0b35d10ccd23ed
123 N90b61763a99743debc1cf40c97e48cac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Middle Aged
125 rdf:type schema:DefinedTerm
126 N9918a73c8afd4f85a332e85583f572b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Neoplasm Proteins
128 rdf:type schema:DefinedTerm
129 N9e19692e08c04acaabcbee1be8d89bc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Humans
131 rdf:type schema:DefinedTerm
132 Nb733818e165444aa8b20b77e7e8f0aab rdf:first sg:person.013767233432.29
133 rdf:rest N5be96eb19d824df39323c0c1faf6dc4b
134 Nba28ce45504b41bd897dd7bd427bbfd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Gout
136 rdf:type schema:DefinedTerm
137 Nc4dfbe31d43e43b49fecc66f1d7a17ad rdf:first sg:person.0616220414.17
138 rdf:rest Nb733818e165444aa8b20b77e7e8f0aab
139 Ncf4dd727bed146c6957a4f7146147768 rdf:first sg:person.014402246312.81
140 rdf:rest N5faf76c481a8492e92e0cea1688a3230
141 Nf2a7534a13c44b3b81e147adb69bb34d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name China
143 rdf:type schema:DefinedTerm
144 Nf4dda95c91864d1da48468dc5dc31506 schema:name readcube_id
145 schema:value 655a514f175e8627facf76e999b38c3a06db4ad47c88958bfd64dfafcd3202b6
146 rdf:type schema:PropertyValue
147 Nf7418967a8674fe8982050f01589e02c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Female
149 rdf:type schema:DefinedTerm
150 Nfb2c22f14c81409e915d2ef70d689cc6 rdf:first sg:person.01211254076.28
151 rdf:rest N5056d5c8bd44494a998714db72514145
152 Nfb85a152483d4c629b6ddc172b16ae58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Follow-Up Studies
154 rdf:type schema:DefinedTerm
155 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
156 schema:name Biological Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
159 schema:name Genetics
160 rdf:type schema:DefinedTerm
161 sg:grant.5926676 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
162 rdf:type schema:MonetaryGrant
163 sg:grant.6027344 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
164 rdf:type schema:MonetaryGrant
165 sg:grant.6029765 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
166 rdf:type schema:MonetaryGrant
167 sg:grant.6113552 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
168 rdf:type schema:MonetaryGrant
169 sg:grant.6536252 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
170 rdf:type schema:MonetaryGrant
171 sg:grant.6822094 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
172 rdf:type schema:MonetaryGrant
173 sg:grant.6957203 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
174 rdf:type schema:MonetaryGrant
175 sg:grant.6957204 http://pending.schema.org/fundedItem sg:pub.10.1186/s12881-018-0583-z
176 rdf:type schema:MonetaryGrant
177 sg:journal.1024947 schema:issn 1471-2350
178 schema:name BMC Medical Genetics
179 rdf:type schema:Periodical
180 sg:person.01036360632.51 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
181 schema:familyName Akashi
182 schema:givenName Airi
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036360632.51
184 rdf:type schema:Person
185 sg:person.01145706061.86 schema:affiliation N0a6c20cb837446e4b8db335018e09d00
186 schema:familyName Ooyama
187 schema:givenName Hiroshi
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145706061.86
189 rdf:type schema:Person
190 sg:person.01146746132.43 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
191 schema:familyName Kawamura
192 schema:givenName Yusuke
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146746132.43
194 rdf:type schema:Person
195 sg:person.01201342404.32 schema:affiliation https://www.grid.ac/institutes/grid.27476.30
196 schema:familyName Wakai
197 schema:givenName Kenji
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201342404.32
199 rdf:type schema:Person
200 sg:person.01211254076.28 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
201 schema:familyName Sakurai
202 schema:givenName Yutaka
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01211254076.28
204 rdf:type schema:Person
205 sg:person.01215332544.73 schema:affiliation https://www.grid.ac/institutes/grid.27476.30
206 schema:familyName Ueyama
207 schema:givenName Jun
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215332544.73
209 rdf:type schema:Person
210 sg:person.01324103321.76 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
211 schema:familyName Higashino
212 schema:givenName Toshihide
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324103321.76
214 rdf:type schema:Person
215 sg:person.013767233432.29 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
216 schema:familyName Matsuo
217 schema:givenName Hirotaka
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013767233432.29
219 rdf:type schema:Person
220 sg:person.014345014164.08 schema:affiliation https://www.grid.ac/institutes/grid.410781.b
221 schema:familyName Yamamoto
222 schema:givenName Ken
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014345014164.08
224 rdf:type schema:Person
225 sg:person.014402246312.81 schema:affiliation https://www.grid.ac/institutes/grid.27476.30
226 schema:familyName Kondo
227 schema:givenName Takaaki
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014402246312.81
229 rdf:type schema:Person
230 sg:person.014476405361.80 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
231 schema:familyName Kawaguchi
232 schema:givenName Makoto
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014476405361.80
234 rdf:type schema:Person
235 sg:person.0616220414.17 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
236 schema:familyName Sakiyama
237 schema:givenName Masayuki
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616220414.17
239 rdf:type schema:Person
240 sg:person.0660472514.51 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
241 schema:familyName Nakayama
242 schema:givenName Akiyoshi
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660472514.51
244 rdf:type schema:Person
245 sg:person.0736166676.13 schema:affiliation https://www.grid.ac/institutes/grid.416614.0
246 schema:familyName Shinomiya
247 schema:givenName Nariyoshi
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736166676.13
249 rdf:type schema:Person
250 sg:person.0753323522.39 schema:affiliation https://www.grid.ac/institutes/grid.288127.6
251 schema:familyName Nakaoka
252 schema:givenName Hirofumi
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753323522.39
254 rdf:type schema:Person
255 sg:pub.10.1007/s13577-013-0081-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044445146
256 https://doi.org/10.1007/s13577-013-0081-8
257 rdf:type schema:CreativeWork
258 sg:pub.10.1038/nature09534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608717
259 https://doi.org/10.1038/nature09534
260 rdf:type schema:CreativeWork
261 sg:pub.10.1038/ncomms8041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031524864
262 https://doi.org/10.1038/ncomms8041
263 rdf:type schema:CreativeWork
264 sg:pub.10.1038/ng.2500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021326074
265 https://doi.org/10.1038/ng.2500
266 rdf:type schema:CreativeWork
267 sg:pub.10.1038/ng.972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020612247
268 https://doi.org/10.1038/ng.972
269 rdf:type schema:CreativeWork
270 sg:pub.10.1038/srep02014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006103959
271 https://doi.org/10.1038/srep02014
272 rdf:type schema:CreativeWork
273 sg:pub.10.1038/srep25360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007210218
274 https://doi.org/10.1038/srep25360
275 rdf:type schema:CreativeWork
276 sg:pub.10.1186/ar2519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049059733
277 https://doi.org/10.1186/ar2519
278 rdf:type schema:CreativeWork
279 https://app.dimensions.ai/details/publication/pub.1077463706 schema:CreativeWork
280 https://doi.org/10.1002/art.1780200320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038240668
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1002/gcc.10121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008032441
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1073/pnas.0601989103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002145538
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1073/pnas.0901249106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000358939
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1126/scitranslmed.3000237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062686467
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1136/annrheumdis-2014-206191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013679570
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1136/annrheumdis-2016-209632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062759443
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1530/acta.0.0850198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051163777
295 rdf:type schema:CreativeWork
296 https://www.grid.ac/institutes/grid.27476.30 schema:alternateName Nagoya University
297 schema:name Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
298 Program in Radiological and Medical Laboratory Sciences, Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
299 rdf:type schema:Organization
300 https://www.grid.ac/institutes/grid.288127.6 schema:alternateName National Institute of Genetics
301 schema:name Division of Human Genetics, Department of Integrated Genetics, National Institute of Genetics, Mishima, Japan
302 rdf:type schema:Organization
303 https://www.grid.ac/institutes/grid.410781.b schema:alternateName Kurume University
304 schema:name Department of Medical Chemistry, Kurume University School of Medicine, Kurume, Japan
305 rdf:type schema:Organization
306 https://www.grid.ac/institutes/grid.416614.0 schema:alternateName National Defense Medical College
307 schema:name Department of Dermatology, National Defense Medical College, Tokorozawa, Japan
308 Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College, 3-2 Namiki, Tokorozawa, 359-8513, Saitama, Japan
309 Department of Preventive Medicine and Public Health, National Defense Medical College, Tokorozawa, Japan
310 rdf:type schema:Organization
 




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


...