Genetic variations in ATP2B1, CSK, ARSG and CSMD1 loci are related to blood pressure and/or hypertension in two Korean cohorts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-06

AUTHORS

K-W Hong, M J Go, H-S Jin, J-E Lim, J-Y Lee, B G Han, S-Y Hwang, S-H Lee, H K Park, Y S Cho, B Oh

ABSTRACT

Blood pressure, one of the important vital signs, is affected by multiple genetic and environmental factors. Recently, several genome-wide association (GWA) studies have successfully identified genetic factors that influence blood pressure and hypertension risk. In this study, we report results of the Korean Association REsource (KARE, 8842 subjects) GWA study on blood pressure and hypertension risk. In all, 10 single-nucleotide polymorphisms (SNPs) that showed significant association with hypertension were further analysed for replication associations in the Health2 project (7861 subjects). Among these 10 SNPs, 3 were replicated in the Health2 cohort for an association with systolic or diastolic blood pressure. The most significant SNP (rs17249754 located in ATPase, Ca(++) transporting, plasma membrane 1 (ATP2B1)) has been previously reported, and the other two SNPs are rs1378942 in the c-src tyrosine kinase (CSK) gene and rs12945290 in the arylsulphatase G (ARSG) gene. An additional hypertension case-control study confirmed that rs17249754 (in ATP2B1) increases hypertension risk in both the KARE and Health2 (meta-analysis, P-value=4.25 x 10(-9)) cohorts. One more SNP, rs995322, located in the CUB and Sushi multiple domains 1 (CSMD1), is also associated with increased risk of hypertension (meta-analysis, P-value=1.00 x 10(-4)). Despite the difficulty of obtaining replication results for a complex trait genetic association between blood pressure and hypertension, we were able to identify consistent genetic factors in both the Korean cohorts in ATP2B1, CSK, ARSG and CSMD1 genes. More... »

PAGES

367

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/jhh.2009.86

DOI

http://dx.doi.org/10.1038/jhh.2009.86

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019282932

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19960030


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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arylsulfatases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cohort Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Loci", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome-Wide Association Study", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypertension", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Membrane Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plasma Membrane Calcium-Transporting ATPases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein-Tyrosine Kinases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proto-Oncogene Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "src-Family Kinases", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyung Hee University", 
          "id": "https://www.grid.ac/institutes/grid.289247.2", 
          "name": [
            "Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "K-W", 
        "id": "sg:person.0576064323.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576064323.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "Center for Genome Science, National Institute of Health, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Go", 
        "givenName": "M J", 
        "id": "sg:person.01043702207.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043702207.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyung Hee University", 
          "id": "https://www.grid.ac/institutes/grid.289247.2", 
          "name": [
            "Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jin", 
        "givenName": "H-S", 
        "id": "sg:person.01351243142.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351243142.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyung Hee University", 
          "id": "https://www.grid.ac/institutes/grid.289247.2", 
          "name": [
            "Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lim", 
        "givenName": "J-E", 
        "id": "sg:person.01216765210.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216765210.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "Center for Genome Science, National Institute of Health, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "J-Y", 
        "id": "sg:person.01176761116.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176761116.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "Center for Genome Science, National Institute of Health, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "B G", 
        "id": "sg:person.0672067757.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672067757.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hankyong National University", 
          "id": "https://www.grid.ac/institutes/grid.411968.3", 
          "name": [
            "Graduate School of Informatics and Biotechnology, Hankyong National University, Ansung, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hwang", 
        "givenName": "S-Y", 
        "id": "sg:person.0663763711.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663763711.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyung Hee University East-West Neo Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411228.c", 
          "name": [
            "Department of Internal Medicine, Kyung Hee University East-West Neo Medical Center, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "S-H", 
        "id": "sg:person.01277556776.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277556776.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyung Hee University", 
          "id": "https://www.grid.ac/institutes/grid.289247.2", 
          "name": [
            "Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "H K", 
        "id": "sg:person.01141054073.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141054073.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea National Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.415482.e", 
          "name": [
            "Center for Genome Science, National Institute of Health, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Y S", 
        "id": "sg:person.016331315467.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331315467.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyung Hee University", 
          "id": "https://www.grid.ac/institutes/grid.289247.2", 
          "name": [
            "Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "B", 
        "id": "sg:person.01240263465.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240263465.82"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/hco.0b013e3280d357f9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004349051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hco.0b013e3280d357f9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004349051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hco.0b013e3280d357f9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004349051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hco.0b013e3280d357f9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004349051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05911", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004556449", 
          "https://doi.org/10.1038/nature05911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-6060(97)90002-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004748174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35073094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006437471", 
          "https://doi.org/10.1038/35073094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35073094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006437471", 
          "https://doi.org/10.1038/35073094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35073094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006437471", 
          "https://doi.org/10.1038/35073094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpcell.00518.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007832494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m709917200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011454646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0808358106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011903867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddp135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015689209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-437x(97)80153-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015922210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018142595", 
          "https://doi.org/10.1038/ng.384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018142595", 
          "https://doi.org/10.1038/ng.384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025919373", 
          "https://doi.org/10.1038/ng.357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025919373", 
          "https://doi.org/10.1038/ng.357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.res.0000092142.19896.d9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026232118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.res.0000092142.19896.d9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026232118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ejhg.2008.102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034268960", 
          "https://doi.org/10.1038/ejhg.2008.102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0888-7543(03)00126-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034813881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0888-7543(03)00126-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034813881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.37.2.350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036860715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.hyp.38.1.56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040146198"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.2255804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040175097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041461900", 
          "https://doi.org/10.1038/ng.361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041461900", 
          "https://doi.org/10.1038/ng.361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejhg.5200887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042243556", 
          "https://doi.org/10.1038/sj.ejhg.5200887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ejhg.5200887", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042243556", 
          "https://doi.org/10.1038/sj.ejhg.5200887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.274.29.20540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043207641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-200103000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043877166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004872-200103000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043877166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.hjh.0000166829.02323.b2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045612358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.hjh.0000166829.02323.b2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045612358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hr.2009.68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048185719", 
          "https://doi.org/10.1038/hr.2009.68"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hr.2009.68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048185719", 
          "https://doi.org/10.1038/hr.2009.68"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0888-7543(03)00149-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049623452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0888-7543(03)00149-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049623452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/y99-052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051684477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/geno.2001.6587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053513934"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-06", 
    "datePublishedReg": "2010-06-01", 
    "description": "Blood pressure, one of the important vital signs, is affected by multiple genetic and environmental factors. Recently, several genome-wide association (GWA) studies have successfully identified genetic factors that influence blood pressure and hypertension risk. In this study, we report results of the Korean Association REsource (KARE, 8842 subjects) GWA study on blood pressure and hypertension risk. In all, 10 single-nucleotide polymorphisms (SNPs) that showed significant association with hypertension were further analysed for replication associations in the Health2 project (7861 subjects). Among these 10 SNPs, 3 were replicated in the Health2 cohort for an association with systolic or diastolic blood pressure. The most significant SNP (rs17249754 located in ATPase, Ca(++) transporting, plasma membrane 1 (ATP2B1)) has been previously reported, and the other two SNPs are rs1378942 in the c-src tyrosine kinase (CSK) gene and rs12945290 in the arylsulphatase G (ARSG) gene. An additional hypertension case-control study confirmed that rs17249754 (in ATP2B1) increases hypertension risk in both the KARE and Health2 (meta-analysis, P-value=4.25 x 10(-9)) cohorts. One more SNP, rs995322, located in the CUB and Sushi multiple domains 1 (CSMD1), is also associated with increased risk of hypertension (meta-analysis, P-value=1.00 x 10(-4)). Despite the difficulty of obtaining replication results for a complex trait genetic association between blood pressure and hypertension, we were able to identify consistent genetic factors in both the Korean cohorts in ATP2B1, CSK, ARSG and CSMD1 genes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/jhh.2009.86", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1098658", 
        "issn": [
          "0950-9240", 
          "1476-5527"
        ], 
        "name": "Journal of Human Hypertension", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Genetic variations in ATP2B1, CSK, ARSG and CSMD1 loci are related to blood pressure and/or hypertension in two Korean cohorts", 
    "pagination": "367", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/jhh.2009.86"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019282932"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5be07290e120cdd2de48ab42e7c6825fcfcfa28129e4f3a14189ab425e78f2c1"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8811625"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19960030"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/jhh.2009.86", 
      "https://app.dimensions.ai/details/publication/pub.1019282932"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:25", 
    "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/v90/0000000377_0000000377/records_106842_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/jhh200986"
  }
]
 

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.10.1038/jhh.2009.86'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/jhh.2009.86'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/jhh.2009.86'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/jhh.2009.86'


 

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

333 TRIPLES      21 PREDICATES      80 URIs      45 LITERALS      33 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/jhh.2009.86 schema:about N063364dd34894be6a6eb447d8d687330
2 N09c4a31fddb14aa8a2c6e6a51e538f9c
3 N0d3ac7a7faac4dce87d74bfad7f79ee1
4 N189c6c77ddb14fea8f410387167a7c6c
5 N2454cb518be24551934cf87616c3809c
6 N31e100898cf943bcaf4401ed2c0ccc36
7 N32a60bc199b445fca46cdf0aacf4e727
8 N35c82cecaba347e392ff292db9ff3aec
9 N4347815ae6db4dfa85c67cd6888797b4
10 N4de551a4133b4014970f56e68c0f3343
11 N54b19eb6f32e4a259c0f9325de36c65d
12 N56fd3fcf7a5c4cfe8eb43a3acd4c718f
13 N7d952eb6a38748d196d092b07069f4ad
14 N7df5067bb9454d8b8ace2192d88debbb
15 N8095d62e4f86482d9bdb5d75eeef283e
16 Na004f20adcbd438eb732bfa3835b4256
17 Na1c0a6ca789243be9db4fade3ca38c9d
18 Nab5d9457a9924911b121d95b8e2b7481
19 Naec8ce1501714218b8348aaa6e3450a6
20 Nb4faa324f4bc478e80c4d6fa2a78a35b
21 Nc31ca2d6937a4d53b81501e67a623eac
22 Nc4331d26539f4b0294f087e34dddfcf3
23 Nf104f6a3808447fda55d48190aa5e721
24 Nfd0baec8ee4a49b4b14fe6c962ebf16d
25 anzsrc-for:06
26 anzsrc-for:0604
27 schema:author N3ebe3f34323c4bd18884783dcdc13a18
28 schema:citation sg:pub.10.1038/35073094
29 sg:pub.10.1038/ejhg.2008.102
30 sg:pub.10.1038/hr.2009.68
31 sg:pub.10.1038/nature05911
32 sg:pub.10.1038/ng.357
33 sg:pub.10.1038/ng.361
34 sg:pub.10.1038/ng.384
35 sg:pub.10.1038/sj.ejhg.5200887
36 https://doi.org/10.1006/geno.2001.6587
37 https://doi.org/10.1016/s0039-6060(97)90002-7
38 https://doi.org/10.1016/s0888-7543(03)00126-5
39 https://doi.org/10.1016/s0888-7543(03)00149-6
40 https://doi.org/10.1016/s0959-437x(97)80153-0
41 https://doi.org/10.1073/pnas.0808358106
42 https://doi.org/10.1074/jbc.274.29.20540
43 https://doi.org/10.1074/jbc.m709917200
44 https://doi.org/10.1086/519795
45 https://doi.org/10.1093/hmg/ddp135
46 https://doi.org/10.1097/00004872-200103000-00012
47 https://doi.org/10.1097/01.hjh.0000166829.02323.b2
48 https://doi.org/10.1097/hco.0b013e3280d357f9
49 https://doi.org/10.1101/gr.2255804
50 https://doi.org/10.1139/y99-052
51 https://doi.org/10.1152/ajpcell.00518.2002
52 https://doi.org/10.1161/01.hyp.37.2.350
53 https://doi.org/10.1161/01.hyp.38.1.56
54 https://doi.org/10.1161/01.res.0000092142.19896.d9
55 schema:datePublished 2010-06
56 schema:datePublishedReg 2010-06-01
57 schema:description Blood pressure, one of the important vital signs, is affected by multiple genetic and environmental factors. Recently, several genome-wide association (GWA) studies have successfully identified genetic factors that influence blood pressure and hypertension risk. In this study, we report results of the Korean Association REsource (KARE, 8842 subjects) GWA study on blood pressure and hypertension risk. In all, 10 single-nucleotide polymorphisms (SNPs) that showed significant association with hypertension were further analysed for replication associations in the Health2 project (7861 subjects). Among these 10 SNPs, 3 were replicated in the Health2 cohort for an association with systolic or diastolic blood pressure. The most significant SNP (rs17249754 located in ATPase, Ca(++) transporting, plasma membrane 1 (ATP2B1)) has been previously reported, and the other two SNPs are rs1378942 in the c-src tyrosine kinase (CSK) gene and rs12945290 in the arylsulphatase G (ARSG) gene. An additional hypertension case-control study confirmed that rs17249754 (in ATP2B1) increases hypertension risk in both the KARE and Health2 (meta-analysis, P-value=4.25 x 10(-9)) cohorts. One more SNP, rs995322, located in the CUB and Sushi multiple domains 1 (CSMD1), is also associated with increased risk of hypertension (meta-analysis, P-value=1.00 x 10(-4)). Despite the difficulty of obtaining replication results for a complex trait genetic association between blood pressure and hypertension, we were able to identify consistent genetic factors in both the Korean cohorts in ATP2B1, CSK, ARSG and CSMD1 genes.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree true
61 schema:isPartOf Na3dc0235f6444b36996f6185d1e54ab7
62 Nf069b607439c4e6b82ccccf22ee891f7
63 sg:journal.1098658
64 schema:name Genetic variations in ATP2B1, CSK, ARSG and CSMD1 loci are related to blood pressure and/or hypertension in two Korean cohorts
65 schema:pagination 367
66 schema:productId N04c855f2b17e44c5bf6f6d50d575c897
67 N0e097666d6a040708253a3ac5c29a870
68 N12ed56ee4003454d9b3a47bb77585bf8
69 N1b718330188341f78b8d6b887c4698af
70 Nccb42aae2f084315b1d58c2c3bd20832
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019282932
72 https://doi.org/10.1038/jhh.2009.86
73 schema:sdDatePublished 2019-04-16T06:25
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N07726f9dfa47413c8974ec57f27bef2a
76 schema:url https://www.nature.com/articles/jhh200986
77 sgo:license sg:explorer/license/
78 sgo:sdDataset articles
79 rdf:type schema:ScholarlyArticle
80 N04c855f2b17e44c5bf6f6d50d575c897 schema:name readcube_id
81 schema:value 5be07290e120cdd2de48ab42e7c6825fcfcfa28129e4f3a14189ab425e78f2c1
82 rdf:type schema:PropertyValue
83 N063364dd34894be6a6eb447d8d687330 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Adult
85 rdf:type schema:DefinedTerm
86 N07726f9dfa47413c8974ec57f27bef2a schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N09c4a31fddb14aa8a2c6e6a51e538f9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Genome-Wide Association Study
90 rdf:type schema:DefinedTerm
91 N0d3ac7a7faac4dce87d74bfad7f79ee1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Blood Pressure
93 rdf:type schema:DefinedTerm
94 N0e0237c1646746b386e2669bb5206714 rdf:first sg:person.01043702207.60
95 rdf:rest N597a3f6c43074938ba8924404a61323b
96 N0e097666d6a040708253a3ac5c29a870 schema:name pubmed_id
97 schema:value 19960030
98 rdf:type schema:PropertyValue
99 N12ed56ee4003454d9b3a47bb77585bf8 schema:name dimensions_id
100 schema:value pub.1019282932
101 rdf:type schema:PropertyValue
102 N189c6c77ddb14fea8f410387167a7c6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Female
104 rdf:type schema:DefinedTerm
105 N1b718330188341f78b8d6b887c4698af schema:name nlm_unique_id
106 schema:value 8811625
107 rdf:type schema:PropertyValue
108 N2454cb518be24551934cf87616c3809c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Middle Aged
110 rdf:type schema:DefinedTerm
111 N31e100898cf943bcaf4401ed2c0ccc36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Cohort Studies
113 rdf:type schema:DefinedTerm
114 N32a60bc199b445fca46cdf0aacf4e727 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Plasma Membrane Calcium-Transporting ATPases
116 rdf:type schema:DefinedTerm
117 N35c82cecaba347e392ff292db9ff3aec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Polymorphism, Single Nucleotide
119 rdf:type schema:DefinedTerm
120 N3ebe3f34323c4bd18884783dcdc13a18 rdf:first sg:person.0576064323.08
121 rdf:rest N0e0237c1646746b386e2669bb5206714
122 N4347815ae6db4dfa85c67cd6888797b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Genetic Predisposition to Disease
124 rdf:type schema:DefinedTerm
125 N4de551a4133b4014970f56e68c0f3343 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Proto-Oncogene Proteins
127 rdf:type schema:DefinedTerm
128 N54b19eb6f32e4a259c0f9325de36c65d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Male
130 rdf:type schema:DefinedTerm
131 N56fd3fcf7a5c4cfe8eb43a3acd4c718f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Protein-Tyrosine Kinases
133 rdf:type schema:DefinedTerm
134 N597a3f6c43074938ba8924404a61323b rdf:first sg:person.01351243142.06
135 rdf:rest Ndf22cde2544a44f9b420633689b6b8ca
136 N7d952eb6a38748d196d092b07069f4ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Case-Control Studies
138 rdf:type schema:DefinedTerm
139 N7df5067bb9454d8b8ace2192d88debbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Korea
141 rdf:type schema:DefinedTerm
142 N8095d62e4f86482d9bdb5d75eeef283e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Arylsulfatases
144 rdf:type schema:DefinedTerm
145 N8bd6f936cd18449dbd8dde85baa4f8b4 rdf:first sg:person.01141054073.88
146 rdf:rest Nfde9ed3bbb7f4eaf8b6b3c33de5d07b1
147 Na004f20adcbd438eb732bfa3835b4256 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Humans
149 rdf:type schema:DefinedTerm
150 Na1c0a6ca789243be9db4fade3ca38c9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Asian Continental Ancestry Group
152 rdf:type schema:DefinedTerm
153 Na3dc0235f6444b36996f6185d1e54ab7 schema:issueNumber 6
154 rdf:type schema:PublicationIssue
155 Nab5d9457a9924911b121d95b8e2b7481 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Genetic Loci
157 rdf:type schema:DefinedTerm
158 Naec8ce1501714218b8348aaa6e3450a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Hypertension
160 rdf:type schema:DefinedTerm
161 Nb4faa324f4bc478e80c4d6fa2a78a35b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Aged
163 rdf:type schema:DefinedTerm
164 Nc31ca2d6937a4d53b81501e67a623eac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Membrane Proteins
166 rdf:type schema:DefinedTerm
167 Nc4331d26539f4b0294f087e34dddfcf3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Risk Factors
169 rdf:type schema:DefinedTerm
170 Nccb42aae2f084315b1d58c2c3bd20832 schema:name doi
171 schema:value 10.1038/jhh.2009.86
172 rdf:type schema:PropertyValue
173 Nce41b46919154ea285d8a85344e0af64 rdf:first sg:person.0672067757.33
174 rdf:rest Ncfde0a9d6d504152b7e7fa52b9eeeb06
175 Ncfde0a9d6d504152b7e7fa52b9eeeb06 rdf:first sg:person.0663763711.39
176 rdf:rest Nd95dc7290ba14dca80ec08d24e47f024
177 Nd95dc7290ba14dca80ec08d24e47f024 rdf:first sg:person.01277556776.92
178 rdf:rest N8bd6f936cd18449dbd8dde85baa4f8b4
179 Ndf22cde2544a44f9b420633689b6b8ca rdf:first sg:person.01216765210.13
180 rdf:rest Ned12b7b0b909436e83831da2545913ef
181 Ndf2f773123c9442b987e6d7f0f07672e rdf:first sg:person.01240263465.82
182 rdf:rest rdf:nil
183 Ned12b7b0b909436e83831da2545913ef rdf:first sg:person.01176761116.47
184 rdf:rest Nce41b46919154ea285d8a85344e0af64
185 Nf069b607439c4e6b82ccccf22ee891f7 schema:volumeNumber 24
186 rdf:type schema:PublicationVolume
187 Nf104f6a3808447fda55d48190aa5e721 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Body Mass Index
189 rdf:type schema:DefinedTerm
190 Nfd0baec8ee4a49b4b14fe6c962ebf16d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
191 schema:name src-Family Kinases
192 rdf:type schema:DefinedTerm
193 Nfde9ed3bbb7f4eaf8b6b3c33de5d07b1 rdf:first sg:person.016331315467.33
194 rdf:rest Ndf2f773123c9442b987e6d7f0f07672e
195 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
196 schema:name Biological Sciences
197 rdf:type schema:DefinedTerm
198 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
199 schema:name Genetics
200 rdf:type schema:DefinedTerm
201 sg:journal.1098658 schema:issn 0950-9240
202 1476-5527
203 schema:name Journal of Human Hypertension
204 rdf:type schema:Periodical
205 sg:person.01043702207.60 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
206 schema:familyName Go
207 schema:givenName M J
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043702207.60
209 rdf:type schema:Person
210 sg:person.01141054073.88 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
211 schema:familyName Park
212 schema:givenName H K
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141054073.88
214 rdf:type schema:Person
215 sg:person.01176761116.47 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
216 schema:familyName Lee
217 schema:givenName J-Y
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176761116.47
219 rdf:type schema:Person
220 sg:person.01216765210.13 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
221 schema:familyName Lim
222 schema:givenName J-E
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216765210.13
224 rdf:type schema:Person
225 sg:person.01240263465.82 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
226 schema:familyName Oh
227 schema:givenName B
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240263465.82
229 rdf:type schema:Person
230 sg:person.01277556776.92 schema:affiliation https://www.grid.ac/institutes/grid.411228.c
231 schema:familyName Lee
232 schema:givenName S-H
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277556776.92
234 rdf:type schema:Person
235 sg:person.01351243142.06 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
236 schema:familyName Jin
237 schema:givenName H-S
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351243142.06
239 rdf:type schema:Person
240 sg:person.016331315467.33 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
241 schema:familyName Cho
242 schema:givenName Y S
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016331315467.33
244 rdf:type schema:Person
245 sg:person.0576064323.08 schema:affiliation https://www.grid.ac/institutes/grid.289247.2
246 schema:familyName Hong
247 schema:givenName K-W
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576064323.08
249 rdf:type schema:Person
250 sg:person.0663763711.39 schema:affiliation https://www.grid.ac/institutes/grid.411968.3
251 schema:familyName Hwang
252 schema:givenName S-Y
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663763711.39
254 rdf:type schema:Person
255 sg:person.0672067757.33 schema:affiliation https://www.grid.ac/institutes/grid.415482.e
256 schema:familyName Han
257 schema:givenName B G
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672067757.33
259 rdf:type schema:Person
260 sg:pub.10.1038/35073094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006437471
261 https://doi.org/10.1038/35073094
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/ejhg.2008.102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034268960
264 https://doi.org/10.1038/ejhg.2008.102
265 rdf:type schema:CreativeWork
266 sg:pub.10.1038/hr.2009.68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048185719
267 https://doi.org/10.1038/hr.2009.68
268 rdf:type schema:CreativeWork
269 sg:pub.10.1038/nature05911 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004556449
270 https://doi.org/10.1038/nature05911
271 rdf:type schema:CreativeWork
272 sg:pub.10.1038/ng.357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025919373
273 https://doi.org/10.1038/ng.357
274 rdf:type schema:CreativeWork
275 sg:pub.10.1038/ng.361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041461900
276 https://doi.org/10.1038/ng.361
277 rdf:type schema:CreativeWork
278 sg:pub.10.1038/ng.384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018142595
279 https://doi.org/10.1038/ng.384
280 rdf:type schema:CreativeWork
281 sg:pub.10.1038/sj.ejhg.5200887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042243556
282 https://doi.org/10.1038/sj.ejhg.5200887
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1006/geno.2001.6587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053513934
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/s0039-6060(97)90002-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004748174
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/s0888-7543(03)00126-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034813881
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/s0888-7543(03)00149-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049623452
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1016/s0959-437x(97)80153-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015922210
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1073/pnas.0808358106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011903867
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1074/jbc.274.29.20540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043207641
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1074/jbc.m709917200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011454646
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1093/hmg/ddp135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015689209
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1097/00004872-200103000-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043877166
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1097/01.hjh.0000166829.02323.b2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045612358
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1097/hco.0b013e3280d357f9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004349051
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1101/gr.2255804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040175097
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1139/y99-052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051684477
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1152/ajpcell.00518.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007832494
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1161/01.hyp.37.2.350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036860715
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1161/01.hyp.38.1.56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040146198
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1161/01.res.0000092142.19896.d9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026232118
321 rdf:type schema:CreativeWork
322 https://www.grid.ac/institutes/grid.289247.2 schema:alternateName Kyung Hee University
323 schema:name Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
324 rdf:type schema:Organization
325 https://www.grid.ac/institutes/grid.411228.c schema:alternateName Kyung Hee University East-West Neo Medical Center
326 schema:name Department of Internal Medicine, Kyung Hee University East-West Neo Medical Center, Seoul, Republic of Korea
327 rdf:type schema:Organization
328 https://www.grid.ac/institutes/grid.411968.3 schema:alternateName Hankyong National University
329 schema:name Graduate School of Informatics and Biotechnology, Hankyong National University, Ansung, Republic of Korea
330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.415482.e schema:alternateName Korea National Institute of Health
332 schema:name Center for Genome Science, National Institute of Health, Seoul, Republic of Korea
333 rdf:type schema:Organization
 




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


...