Association of Paraoxonase 1 (PON1) polymorphisms with osteoporotic fracture risk in postmenopausal Korean women View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011

AUTHORS

Beom-Jun Kim, Shin-Yoon Kim, Yoon Shin Cho, Bon-Jo Kim, Bok-Ghee Han, Eui Kyun Park, Seung Hun Lee, Ha Young Kim, Ghi Su Kim, Jong-Young Lee, Jung-Min Koh

ABSTRACT

There is increasing evidence of a biochemical link between lipid oxidation and bone metabolism. Paraoxonase 1 (PON1) prevents the oxidation of low-density lipoprotein (LDL) and metabolizes biologically active phospholipids in oxidized LDLs. Here, we performed association analyses of genetic variation in PON1 to ascertain its contribution to osteoporotic fractures (OFs) and bone mineral density (BMD). We directly sequenced the PON1 gene in 24 Korean individuals and identified 26 sequence variants. A large population of Korean postmenopausal women (n=1,329) was then genotyped for eight selected PON1 polymorphisms. BMD at the lumbar spine and femoral neck was measured using dual-energy X-ray absorptiometry. Lateral thoracolumbar (T4-L4) radiographs were obtained for vertebral fracture assessment, and the occurrence of non-vertebral fractures (i.e., wrist, hip, forearm, humerus, rib, and pelvis) was examined using self-reported data. Multivariate analyses showed that none of the polymorphisms was associated with BMD at either site. However, +5989A>G and +26080T>C polymorphisms were significantly associated with non-vertebral and vertebral fractures, respectively, after adjustment for covariates. Specifically, the minor allele of +5989A>G exerted a highly protective effect against non-vertebral fractures (OR=0.59, P=0.036), whereas the minor allele of +26080T>C was associated with increased susceptibility to vertebral fractures (OR=1.73, P=0.020). When the risk for any OFs (i.e., vertebral or non-vertebral) was considered, the statistical significance of both polymorphisms persisted (P=0.002-0.010). These results suggest that PON1 polymorphisms could be one of useful genetic markers for OF risk in postmenopausal women. More... »

PAGES

emm201110

Identifiers

URI

http://scigraph.springernature.com/pub.10.3858/emm.2011.43.2.009

DOI

http://dx.doi.org/10.3858/emm.2011.43.2.009

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042459931

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21187701


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aryldialkylphosphatase", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density", 
        "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": "Gene Order", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "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": "Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Linkage Disequilibrium", 
        "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": "Molecular Typing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoporotic Fractures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postmenopause", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyungpook National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411235.0", 
          "name": [
            "Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.", 
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Beom-Jun", 
        "id": "sg:person.07453067240.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07453067240.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyungpook National University", 
          "id": "https://www.grid.ac/institutes/grid.258803.4", 
          "name": [
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea.", 
            "Department of Orthopedic Surgery School of Medicine, Kyungpook National University, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Shin-Yoon", 
        "id": "sg:person.01272532313.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272532313.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "The Center for Genome Science National Institute of Health, Seoul 122-701, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Yoon Shin", 
        "id": "sg:person.016331315467.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331315467.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "The Center for Genome Science National Institute of Health, Seoul 122-701, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Bon-Jo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "The Center for Genome Science National Institute of Health, Seoul 122-701, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Bok-Ghee", 
        "id": "sg:person.0672067757.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672067757.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyungpook National University", 
          "id": "https://www.grid.ac/institutes/grid.258803.4", 
          "name": [
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea.", 
            "Department of Pathology and Regenerative Medicine School of Dentistry, Kyungpook National University, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Eui Kyun", 
        "id": "sg:person.01035531073.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035531073.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyungpook National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411235.0", 
          "name": [
            "Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.", 
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Seung Hun", 
        "id": "sg:person.0746175737.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746175737.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wonkwang University", 
          "id": "https://www.grid.ac/institutes/grid.410899.d", 
          "name": [
            "Division of Endocrinology and Metabolism Sanbon Medical Center, University of Wonkwang College of Medicine, Iksan 570-711, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Ha Young", 
        "id": "sg:person.0627440405.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627440405.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyungpook National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411235.0", 
          "name": [
            "Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.", 
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Ghi Su", 
        "id": "sg:person.0620553241.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620553241.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "The Center for Genome Science National Institute of Health, Seoul 122-701, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jong-Young", 
        "id": "sg:person.01176761116.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176761116.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyungpook National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411235.0", 
          "name": [
            "Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.", 
            "Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koh", 
        "givenName": "Jung-Min", 
        "id": "sg:person.0712764112.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712764112.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/jbmr.5650081008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000981095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650081008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000981095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-003-0063-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002380793", 
          "https://doi.org/10.1007/s10038-003-0063-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1999.14.12.2067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003246917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00200.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003423776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m109.023572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004313655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/japplphysiol.00660.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006269844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000150081.04037.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006786341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000150081.04037.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006786341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000150081.04037.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006786341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1249/01.mss.0000150081.04037.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006786341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(01)00518-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007219388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008081196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650050302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010872901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m111551200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011247259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.1997.12.12.2076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011741845"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-007-0386-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014853315", 
          "https://doi.org/10.1007/s00198-007-0386-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-007-0386-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014853315", 
          "https://doi.org/10.1007/s00198-007-0386-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bcp.2004.08.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015363302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3858/emm.2009.41.1.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016481482", 
          "https://doi.org/10.3858/emm.2009.41.1.005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-5793(91)80962-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018308152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.8.3.195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018564763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.med.54.101601.152421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021798413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s8756-3282(97)00252-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024481766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650080915", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650080915", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024825624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/319501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027413555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1375/twin.4.1.48", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030224446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1050-3862(98)00019-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041654045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0838.2003.20219.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043158656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.50.8.1952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044055825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03194355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044312346", 
          "https://doi.org/10.1007/bf03194355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03194355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044312346", 
          "https://doi.org/10.1007/bf03194355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1359/jbmr.041015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044313787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archinte.165.16.1825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045628482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650070214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046335620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jbmr.5650070214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046335620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.8.3.175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048253030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02554913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048696031", 
          "https://doi.org/10.1007/bf02554913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02554913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048696031", 
          "https://doi.org/10.1007/bf02554913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/8756-3282(93)90341-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053282547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2008-1065350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057556788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14034940310017490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058389581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14034940310017490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058389581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/339270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058638178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/edrv.20.6.0384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064238487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2005-0364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064288377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1375/1369052012146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067169828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-196244020-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068883338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-151-8-200910200-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073711086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074355314", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a116315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077007357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079885663", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082433928", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a116756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082754445"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "There is increasing evidence of a biochemical link between lipid oxidation and bone metabolism. Paraoxonase 1 (PON1) prevents the oxidation of low-density lipoprotein (LDL) and metabolizes biologically active phospholipids in oxidized LDLs. Here, we performed association analyses of genetic variation in PON1 to ascertain its contribution to osteoporotic fractures (OFs) and bone mineral density (BMD). We directly sequenced the PON1 gene in 24 Korean individuals and identified 26 sequence variants. A large population of Korean postmenopausal women (n=1,329) was then genotyped for eight selected PON1 polymorphisms. BMD at the lumbar spine and femoral neck was measured using dual-energy X-ray absorptiometry. Lateral thoracolumbar (T4-L4) radiographs were obtained for vertebral fracture assessment, and the occurrence of non-vertebral fractures (i.e., wrist, hip, forearm, humerus, rib, and pelvis) was examined using self-reported data. Multivariate analyses showed that none of the polymorphisms was associated with BMD at either site. However, +5989A>G and +26080T>C polymorphisms were significantly associated with non-vertebral and vertebral fractures, respectively, after adjustment for covariates. Specifically, the minor allele of +5989A>G exerted a highly protective effect against non-vertebral fractures (OR=0.59, P=0.036), whereas the minor allele of +26080T>C was associated with increased susceptibility to vertebral fractures (OR=1.73, P=0.020). When the risk for any OFs (i.e., vertebral or non-vertebral) was considered, the statistical significance of both polymorphisms persisted (P=0.002-0.010). These results suggest that PON1 polymorphisms could be one of useful genetic markers for OF risk in postmenopausal women.", 
    "genre": "research_article", 
    "id": "sg:pub.10.3858/emm.2011.43.2.009", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1085098", 
        "issn": [
          "1226-3613", 
          "2092-6413"
        ], 
        "name": "Experimental & Molecular Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Association of Paraoxonase 1 (PON1) polymorphisms with osteoporotic fracture risk in postmenopausal Korean women", 
    "pagination": "emm201110", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ca41a6cfc7b356ed1f1f6991bcb3d29a94ef65954a0bf90a8baeb10e4ab18751"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21187701"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9607880"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3858/emm.2011.43.2.009"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042459931"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3858/emm.2011.43.2.009", 
      "https://app.dimensions.ai/details/publication/pub.1042459931"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:19", 
    "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/v90/0000000001_0000000264/records_8690_00000426.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/emm201110"
  }
]
 

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.10.3858/emm.2011.43.2.009'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3858/emm.2011.43.2.009'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3858/emm.2011.43.2.009'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3858/emm.2011.43.2.009'


 

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

367 TRIPLES      21 PREDICATES      94 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3858/emm.2011.43.2.009 schema:about N106ed2226f154bb885481495ff81bd55
2 N2ba4e23faa39447a80e09ed7d8984ce7
3 N414f861e9f4a4df596d2b74f99b203e2
4 N47b8893e09de4879be0a36e27273bfac
5 N4e1ae8e8ae504f74831f47addd0f7200
6 N5c400f02428047df9f09002004f56118
7 N5ccff103cb3d4e1d8a5fc6fa7ea2f472
8 N5e88acb5d51a4b40b7aec77847771cd9
9 N6bfe32974cd446358f91bb09a34d1569
10 N778e991e441c4e0094ca5a0b4514a3e2
11 N7cfe9c79d3f34fcd95984ea3f11dab62
12 N8ea6ebe64e09470da8ef84f818e9a2ea
13 N95bf6cd047cc40f4a3f80c8c1d1f7968
14 N9a216e6f77504867a71bcdc0bbb55abb
15 N9fab89b094534176b95461020f339e83
16 Na1d0ff285bda4cf0bdf447ffe1f80f40
17 Ne002f1608d1a418faa0c0fea8f3b0e84
18 Nf0213ac568a8490c95e13d3f89abe7db
19 Nf424cf8481ea4db9ad8993cf796ce475
20 Nf960ab9bbfe048c18b22fd25f04fcf10
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N3ad2960f792b46cdbfb8ab0f3f609511
24 schema:citation sg:pub.10.1007/bf02554913
25 sg:pub.10.1007/bf03194355
26 sg:pub.10.1007/s00198-007-0386-0
27 sg:pub.10.1007/s10038-003-0063-x
28 sg:pub.10.3858/emm.2009.41.1.005
29 https://app.dimensions.ai/details/publication/pub.1074355314
30 https://app.dimensions.ai/details/publication/pub.1079885663
31 https://app.dimensions.ai/details/publication/pub.1082433928
32 https://doi.org/10.1001/archinte.165.16.1825
33 https://doi.org/10.1002/jbmr.5650050302
34 https://doi.org/10.1002/jbmr.5650070214
35 https://doi.org/10.1002/jbmr.5650080915
36 https://doi.org/10.1002/jbmr.5650081008
37 https://doi.org/10.1016/0014-5793(91)80962-3
38 https://doi.org/10.1016/8756-3282(93)90341-7
39 https://doi.org/10.1016/j.bcp.2004.08.027
40 https://doi.org/10.1016/s0895-4356(01)00518-2
41 https://doi.org/10.1016/s1050-3862(98)00019-9
42 https://doi.org/10.1016/s8756-3282(97)00252-4
43 https://doi.org/10.1034/j.1600-0838.2003.20219.x
44 https://doi.org/10.1055/s-2008-1065350
45 https://doi.org/10.1074/jbc.m109.023572
46 https://doi.org/10.1074/jbc.m111551200
47 https://doi.org/10.1080/14034940310017490
48 https://doi.org/10.1086/319501
49 https://doi.org/10.1086/339270
50 https://doi.org/10.1093/bioinformatics/bth457
51 https://doi.org/10.1093/oxfordjournals.aje.a116315
52 https://doi.org/10.1093/oxfordjournals.aje.a116756
53 https://doi.org/10.1101/gr.8.3.175
54 https://doi.org/10.1101/gr.8.3.195
55 https://doi.org/10.1146/annurev.med.54.101601.152421
56 https://doi.org/10.1152/japplphysiol.00200.2003
57 https://doi.org/10.1152/japplphysiol.00660.2003
58 https://doi.org/10.1210/edrv.20.6.0384
59 https://doi.org/10.1210/jc.2005-0364
60 https://doi.org/10.1249/01.mss.0000150081.04037.bb
61 https://doi.org/10.1359/jbmr.041015
62 https://doi.org/10.1359/jbmr.1997.12.12.2076
63 https://doi.org/10.1359/jbmr.1999.14.12.2067
64 https://doi.org/10.1375/1369052012146
65 https://doi.org/10.1375/twin.4.1.48
66 https://doi.org/10.2106/00004623-196244020-00003
67 https://doi.org/10.2337/diabetes.50.8.1952
68 https://doi.org/10.7326/0003-4819-151-8-200910200-00006
69 schema:datePublished 2011
70 schema:datePublishedReg 2011-01-01
71 schema:description There is increasing evidence of a biochemical link between lipid oxidation and bone metabolism. Paraoxonase 1 (PON1) prevents the oxidation of low-density lipoprotein (LDL) and metabolizes biologically active phospholipids in oxidized LDLs. Here, we performed association analyses of genetic variation in PON1 to ascertain its contribution to osteoporotic fractures (OFs) and bone mineral density (BMD). We directly sequenced the PON1 gene in 24 Korean individuals and identified 26 sequence variants. A large population of Korean postmenopausal women (n=1,329) was then genotyped for eight selected PON1 polymorphisms. BMD at the lumbar spine and femoral neck was measured using dual-energy X-ray absorptiometry. Lateral thoracolumbar (T4-L4) radiographs were obtained for vertebral fracture assessment, and the occurrence of non-vertebral fractures (i.e., wrist, hip, forearm, humerus, rib, and pelvis) was examined using self-reported data. Multivariate analyses showed that none of the polymorphisms was associated with BMD at either site. However, +5989A>G and +26080T>C polymorphisms were significantly associated with non-vertebral and vertebral fractures, respectively, after adjustment for covariates. Specifically, the minor allele of +5989A>G exerted a highly protective effect against non-vertebral fractures (OR=0.59, P=0.036), whereas the minor allele of +26080T>C was associated with increased susceptibility to vertebral fractures (OR=1.73, P=0.020). When the risk for any OFs (i.e., vertebral or non-vertebral) was considered, the statistical significance of both polymorphisms persisted (P=0.002-0.010). These results suggest that PON1 polymorphisms could be one of useful genetic markers for OF risk in postmenopausal women.
72 schema:genre research_article
73 schema:inLanguage en
74 schema:isAccessibleForFree true
75 schema:isPartOf Nc75a8b30d2f54b259685b16b935e9360
76 Nf37dc04895e44488968cafa9cf73fe35
77 sg:journal.1085098
78 schema:name Association of Paraoxonase 1 (PON1) polymorphisms with osteoporotic fracture risk in postmenopausal Korean women
79 schema:pagination emm201110
80 schema:productId N122107bbe26b4e0789b6de9f3671ffc1
81 N15d541e544be472c87c9dff06fc13f5e
82 N8900ec9dc1974e1ab4178a72ea36a1bf
83 Nc91dbce30ff54cbc8fd72647abb1b098
84 Nd6642dba791e4d57b550b14700b27053
85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042459931
86 https://doi.org/10.3858/emm.2011.43.2.009
87 schema:sdDatePublished 2019-04-10T22:19
88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
89 schema:sdPublisher Nca25d97067004cbfabb575dceb9fafda
90 schema:url http://www.nature.com/articles/emm201110
91 sgo:license sg:explorer/license/
92 sgo:sdDataset articles
93 rdf:type schema:ScholarlyArticle
94 N0b1eed025bcf4078a5df498e5da935b3 rdf:first sg:person.0672067757.33
95 rdf:rest Nde976e74f1d642249bc233b2d3bf82f5
96 N106ed2226f154bb885481495ff81bd55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Genetic Markers
98 rdf:type schema:DefinedTerm
99 N122107bbe26b4e0789b6de9f3671ffc1 schema:name doi
100 schema:value 10.3858/emm.2011.43.2.009
101 rdf:type schema:PropertyValue
102 N15d541e544be472c87c9dff06fc13f5e schema:name readcube_id
103 schema:value ca41a6cfc7b356ed1f1f6991bcb3d29a94ef65954a0bf90a8baeb10e4ab18751
104 rdf:type schema:PropertyValue
105 N16a82b485be64004b0dc8737c7cd3555 rdf:first sg:person.0746175737.18
106 rdf:rest Nf89b4ee99bb94a949a30377450337bad
107 N23ea4ab1889e4420b6b8dfcca7111217 rdf:first sg:person.016331315467.33
108 rdf:rest N6e34003b2b6846429a6efe01989f4976
109 N2ba4e23faa39447a80e09ed7d8984ce7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Haplotypes
111 rdf:type schema:DefinedTerm
112 N3ad2960f792b46cdbfb8ab0f3f609511 rdf:first sg:person.07453067240.32
113 rdf:rest N550c7b0599534b9fb95b69ffbf225e79
114 N3b1a1caa2a2f4604904dff7148ef2361 rdf:first sg:person.01176761116.47
115 rdf:rest N54b103848a73434db6d391a848877b86
116 N414f861e9f4a4df596d2b74f99b203e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Aged
118 rdf:type schema:DefinedTerm
119 N47b8893e09de4879be0a36e27273bfac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Bone Density
121 rdf:type schema:DefinedTerm
122 N4e1ae8e8ae504f74831f47addd0f7200 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Molecular Typing
124 rdf:type schema:DefinedTerm
125 N4f1291c6c687431ca453f665c089036c schema:affiliation https://www.grid.ac/institutes/grid.415482.e
126 schema:familyName Kim
127 schema:givenName Bon-Jo
128 rdf:type schema:Person
129 N54b103848a73434db6d391a848877b86 rdf:first sg:person.0712764112.84
130 rdf:rest rdf:nil
131 N550c7b0599534b9fb95b69ffbf225e79 rdf:first sg:person.01272532313.18
132 rdf:rest N23ea4ab1889e4420b6b8dfcca7111217
133 N5c400f02428047df9f09002004f56118 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Female
135 rdf:type schema:DefinedTerm
136 N5ccff103cb3d4e1d8a5fc6fa7ea2f472 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Korea
138 rdf:type schema:DefinedTerm
139 N5e88acb5d51a4b40b7aec77847771cd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Linkage Disequilibrium
141 rdf:type schema:DefinedTerm
142 N6bfe32974cd446358f91bb09a34d1569 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Osteoporotic Fractures
144 rdf:type schema:DefinedTerm
145 N6e34003b2b6846429a6efe01989f4976 rdf:first N4f1291c6c687431ca453f665c089036c
146 rdf:rest N0b1eed025bcf4078a5df498e5da935b3
147 N778e991e441c4e0094ca5a0b4514a3e2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Genetic Predisposition to Disease
149 rdf:type schema:DefinedTerm
150 N7cfe9c79d3f34fcd95984ea3f11dab62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Humans
152 rdf:type schema:DefinedTerm
153 N8900ec9dc1974e1ab4178a72ea36a1bf schema:name nlm_unique_id
154 schema:value 9607880
155 rdf:type schema:PropertyValue
156 N8ea6ebe64e09470da8ef84f818e9a2ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Alleles
158 rdf:type schema:DefinedTerm
159 N95bf6cd047cc40f4a3f80c8c1d1f7968 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Aryldialkylphosphatase
161 rdf:type schema:DefinedTerm
162 N9a216e6f77504867a71bcdc0bbb55abb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Middle Aged
164 rdf:type schema:DefinedTerm
165 N9fab89b094534176b95461020f339e83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Risk Factors
167 rdf:type schema:DefinedTerm
168 Na1d0ff285bda4cf0bdf447ffe1f80f40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Gene Order
170 rdf:type schema:DefinedTerm
171 Nb97896d1f68f45d38d8ef77f504ab554 rdf:first sg:person.0620553241.45
172 rdf:rest N3b1a1caa2a2f4604904dff7148ef2361
173 Nc75a8b30d2f54b259685b16b935e9360 schema:volumeNumber 43
174 rdf:type schema:PublicationVolume
175 Nc91dbce30ff54cbc8fd72647abb1b098 schema:name dimensions_id
176 schema:value pub.1042459931
177 rdf:type schema:PropertyValue
178 Nca25d97067004cbfabb575dceb9fafda schema:name Springer Nature - SN SciGraph project
179 rdf:type schema:Organization
180 Nd6642dba791e4d57b550b14700b27053 schema:name pubmed_id
181 schema:value 21187701
182 rdf:type schema:PropertyValue
183 Nde976e74f1d642249bc233b2d3bf82f5 rdf:first sg:person.01035531073.06
184 rdf:rest N16a82b485be64004b0dc8737c7cd3555
185 Ne002f1608d1a418faa0c0fea8f3b0e84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Polymorphism, Genetic
187 rdf:type schema:DefinedTerm
188 Nf0213ac568a8490c95e13d3f89abe7db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Postmenopause
190 rdf:type schema:DefinedTerm
191 Nf37dc04895e44488968cafa9cf73fe35 schema:issueNumber 2
192 rdf:type schema:PublicationIssue
193 Nf424cf8481ea4db9ad8993cf796ce475 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Male
195 rdf:type schema:DefinedTerm
196 Nf89b4ee99bb94a949a30377450337bad rdf:first sg:person.0627440405.65
197 rdf:rest Nb97896d1f68f45d38d8ef77f504ab554
198 Nf960ab9bbfe048c18b22fd25f04fcf10 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
199 schema:name Gene Frequency
200 rdf:type schema:DefinedTerm
201 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
202 schema:name Medical and Health Sciences
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
205 schema:name Clinical Sciences
206 rdf:type schema:DefinedTerm
207 sg:journal.1085098 schema:issn 1226-3613
208 2092-6413
209 schema:name Experimental & Molecular Medicine
210 rdf:type schema:Periodical
211 sg:person.01035531073.06 schema:affiliation https://www.grid.ac/institutes/grid.258803.4
212 schema:familyName Park
213 schema:givenName Eui Kyun
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035531073.06
215 rdf:type schema:Person
216 sg:person.01176761116.47 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
217 schema:familyName Lee
218 schema:givenName Jong-Young
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176761116.47
220 rdf:type schema:Person
221 sg:person.01272532313.18 schema:affiliation https://www.grid.ac/institutes/grid.258803.4
222 schema:familyName Kim
223 schema:givenName Shin-Yoon
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272532313.18
225 rdf:type schema:Person
226 sg:person.016331315467.33 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
227 schema:familyName Cho
228 schema:givenName Yoon Shin
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331315467.33
230 rdf:type schema:Person
231 sg:person.0620553241.45 schema:affiliation https://www.grid.ac/institutes/grid.411235.0
232 schema:familyName Kim
233 schema:givenName Ghi Su
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620553241.45
235 rdf:type schema:Person
236 sg:person.0627440405.65 schema:affiliation https://www.grid.ac/institutes/grid.410899.d
237 schema:familyName Kim
238 schema:givenName Ha Young
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627440405.65
240 rdf:type schema:Person
241 sg:person.0672067757.33 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
242 schema:familyName Han
243 schema:givenName Bok-Ghee
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672067757.33
245 rdf:type schema:Person
246 sg:person.0712764112.84 schema:affiliation https://www.grid.ac/institutes/grid.411235.0
247 schema:familyName Koh
248 schema:givenName Jung-Min
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712764112.84
250 rdf:type schema:Person
251 sg:person.07453067240.32 schema:affiliation https://www.grid.ac/institutes/grid.411235.0
252 schema:familyName Kim
253 schema:givenName Beom-Jun
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07453067240.32
255 rdf:type schema:Person
256 sg:person.0746175737.18 schema:affiliation https://www.grid.ac/institutes/grid.411235.0
257 schema:familyName Lee
258 schema:givenName Seung Hun
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746175737.18
260 rdf:type schema:Person
261 sg:pub.10.1007/bf02554913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048696031
262 https://doi.org/10.1007/bf02554913
263 rdf:type schema:CreativeWork
264 sg:pub.10.1007/bf03194355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044312346
265 https://doi.org/10.1007/bf03194355
266 rdf:type schema:CreativeWork
267 sg:pub.10.1007/s00198-007-0386-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014853315
268 https://doi.org/10.1007/s00198-007-0386-0
269 rdf:type schema:CreativeWork
270 sg:pub.10.1007/s10038-003-0063-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002380793
271 https://doi.org/10.1007/s10038-003-0063-x
272 rdf:type schema:CreativeWork
273 sg:pub.10.3858/emm.2009.41.1.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016481482
274 https://doi.org/10.3858/emm.2009.41.1.005
275 rdf:type schema:CreativeWork
276 https://app.dimensions.ai/details/publication/pub.1074355314 schema:CreativeWork
277 https://app.dimensions.ai/details/publication/pub.1079885663 schema:CreativeWork
278 https://app.dimensions.ai/details/publication/pub.1082433928 schema:CreativeWork
279 https://doi.org/10.1001/archinte.165.16.1825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045628482
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1002/jbmr.5650050302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010872901
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1002/jbmr.5650070214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046335620
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1002/jbmr.5650080915 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024825624
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1002/jbmr.5650081008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000981095
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1016/0014-5793(91)80962-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018308152
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1016/8756-3282(93)90341-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053282547
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1016/j.bcp.2004.08.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015363302
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1016/s0895-4356(01)00518-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007219388
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1016/s1050-3862(98)00019-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041654045
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1016/s8756-3282(97)00252-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024481766
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1034/j.1600-0838.2003.20219.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043158656
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1055/s-2008-1065350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057556788
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1074/jbc.m109.023572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004313655
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1074/jbc.m111551200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011247259
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1080/14034940310017490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058389581
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1086/319501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027413555
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1086/339270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058638178
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1093/bioinformatics/bth457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008081196
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1093/oxfordjournals.aje.a116315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077007357
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1093/oxfordjournals.aje.a116756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082754445
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1101/gr.8.3.175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048253030
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1101/gr.8.3.195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018564763
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1146/annurev.med.54.101601.152421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021798413
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1152/japplphysiol.00200.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003423776
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1152/japplphysiol.00660.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006269844
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1210/edrv.20.6.0384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064238487
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1210/jc.2005-0364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064288377
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1249/01.mss.0000150081.04037.bb schema:sameAs https://app.dimensions.ai/details/publication/pub.1006786341
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1359/jbmr.041015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044313787
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1359/jbmr.1997.12.12.2076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741845
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1359/jbmr.1999.14.12.2067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003246917
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1375/1369052012146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067169828
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1375/twin.4.1.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030224446
346 rdf:type schema:CreativeWork
347 https://doi.org/10.2106/00004623-196244020-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068883338
348 rdf:type schema:CreativeWork
349 https://doi.org/10.2337/diabetes.50.8.1952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044055825
350 rdf:type schema:CreativeWork
351 https://doi.org/10.7326/0003-4819-151-8-200910200-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073711086
352 rdf:type schema:CreativeWork
353 https://www.grid.ac/institutes/grid.258803.4 schema:alternateName Kyungpook National University
354 schema:name Department of Orthopedic Surgery School of Medicine, Kyungpook National University, Daegu 700-412, Korea.
355 Department of Pathology and Regenerative Medicine School of Dentistry, Kyungpook National University, Daegu 700-412, Korea.
356 Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea.
357 rdf:type schema:Organization
358 https://www.grid.ac/institutes/grid.410899.d schema:alternateName Wonkwang University
359 schema:name Division of Endocrinology and Metabolism Sanbon Medical Center, University of Wonkwang College of Medicine, Iksan 570-711, Korea.
360 rdf:type schema:Organization
361 https://www.grid.ac/institutes/grid.411235.0 schema:alternateName Kyungpook National University Hospital
362 schema:name Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.
363 Skeletal Diseases Genome Research Center, Kyungpook National University Hospital, Daegu 700-412, Korea.
364 rdf:type schema:Organization
365 https://www.grid.ac/institutes/grid.415482.e schema:alternateName Korea National Institute of Health
366 schema:name The Center for Genome Science National Institute of Health, Seoul 122-701, Korea.
367 rdf:type schema:Organization
 




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


...