SNPs in the KCNJ11-ABCC8 gene locus are associated with type 2 diabetes and blood pressure levels in the Japanese population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-10-02

AUTHORS

Hiroshi Inoue, Hiroshi Shiota, Katsuyuki Miyawaki, Kiyoshi Kunika, Maki Moritani, Mitsuo Itakura, Naoto Nakamura, Natsuo Yasui, Parvaneh Keshavarz, Toshihito Tanahashi, Toshikazu Yoshikawa, Yuka Yamaguchi, Yukiko Sakamoto

ABSTRACT

Many genetic association studies support a contribution of genetic variants in the KCNJ11-ABCC8 gene locus to type 2 diabetes (T2D) susceptibility in Caucasians. In non-Caucasian populations, however, there have been only a few association studies, and discordant results were obtained. Herein, we selected a total of 31 SNPs covering a 211.3-kb region of the KCNJ11-ABCC8 locus, characterized the patterns of linkage disequilibrium (LD) and haplotype structure, and performed a case-control association study in a Japanese population consisting of 909 T2D patients and 893 control subjects. We found significant associations between eight SNPs, including the KCNJ11 E23K and ABCC8 S1369A variants, and T2D. These disease-associated SNPs were genetically indistinguishable because of the presence of strong LD, as found previously in Caucasians. For the KCNJ11 E23K variant, the most significant association was obtained under a dominant genetic model (OR 1.32, 95% CI 1.09-1.60, P = 0.004). A meta-analysis of East Asian studies, comprising a total of 3,357 T2D patients (77.4% Japanese) and 2,836 control subjects (77.8% Japanese), confirmed the significant role of the KCNJ11 E23K variant in T2D susceptibility. Furthermore, we found evidence suggesting that the KCNJ11 E23K genotype is independently associated with higher blood-pressure levels. More... »

PAGES

781

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10038-007-0190-x

DOI

http://dx.doi.org/10.1007/s10038-007-0190-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019727857

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17823772


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": "ATP-Binding Cassette Transporters", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "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": "Diabetes Mellitus, Type 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "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": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Potassium Channels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Potassium Channels, Inwardly Rectifying", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Drug", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sulfonylurea Receptors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inoue", 
        "givenName": "Hiroshi", 
        "id": "sg:person.0757722527.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757722527.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Department of Ophthalmology and Visual Neuroscience, Institute for Health Biosciences, The University of Tokushima, Tokushima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiota", 
        "givenName": "Hiroshi", 
        "id": "sg:person.013753314051.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013753314051.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyawaki", 
        "givenName": "Katsuyuki", 
        "id": "sg:person.01157250072.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157250072.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kunika", 
        "givenName": "Kiyoshi", 
        "id": "sg:person.01000571335.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000571335.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moritani", 
        "givenName": "Maki", 
        "id": "sg:person.01234432045.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234432045.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Itakura", 
        "givenName": "Mitsuo", 
        "id": "sg:person.01103014626.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103014626.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyoto Prefectural University of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.272458.e", 
          "name": [
            "Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "Naoto", 
        "id": "sg:person.0677442163.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677442163.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Department of Orthopedics, Institute of Health Biosciences, The University of Tokushima, Tokushima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yasui", 
        "givenName": "Natsuo", 
        "id": "sg:person.0752132326.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752132326.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Keshavarz", 
        "givenName": "Parvaneh", 
        "id": "sg:person.01256041743.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256041743.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanahashi", 
        "givenName": "Toshihito", 
        "id": "sg:person.01116153403.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116153403.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyoto Prefectural University of Medicine", 
          "id": "https://www.grid.ac/institutes/grid.272458.e", 
          "name": [
            "Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshikawa", 
        "givenName": "Toshikazu", 
        "id": "sg:person.01126013224.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126013224.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamaguchi", 
        "givenName": "Yuka", 
        "id": "sg:person.01166316645.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166316645.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokushima", 
          "id": "https://www.grid.ac/institutes/grid.267335.6", 
          "name": [
            "Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakamoto", 
        "givenName": "Yukiko", 
        "id": "sg:person.0601054303.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601054303.46"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2337/diabetes.54.9.2503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002586259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.54.11.3065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003857156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.52.10.2630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005791316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1440-1681.2002.03650.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006296911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-006-0399-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006507024", 
          "https://doi.org/10.1007/s10038-006-0399-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10038-006-0399-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006507024", 
          "https://doi.org/10.1007/s10038-006-0399-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1069424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010139737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.2007.s358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013347202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-006-0231-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015358596", 
          "https://doi.org/10.1007/s00439-006-0231-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-006-0231-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015358596", 
          "https://doi.org/10.1007/s00439-006-0231-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-006-0231-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015358596", 
          "https://doi.org/10.1007/s00439-006-0231-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.53.5.1360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018330328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.3.875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021188492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.20292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023125898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.20292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023125898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/87455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024968985", 
          "https://doi.org/10.1038/87455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/87455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024968985", 
          "https://doi.org/10.1038/87455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-004-1216-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025575730", 
          "https://doi.org/10.1007/s00439-004-1216-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00439-004-1216-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025575730", 
          "https://doi.org/10.1007/s00439-004-1216-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/dmrr.193", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029805005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.52.2.573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032441094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db06-0966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036880266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250051098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037186086", 
          "https://doi.org/10.1007/s001250051098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001250051098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037186086", 
          "https://doi.org/10.1007/s001250051098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db05-1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038971114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.2007.s363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039371996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yjmcc.2005.02.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039846501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.212315199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041716028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-003-1143-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041716256", 
          "https://doi.org/10.1007/s00125-003-1143-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-003-1143-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041716256", 
          "https://doi.org/10.1007/s00125-003-1143-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6107(02)00053-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043432013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0079-6107(02)00053-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043432013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1530509100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044620917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.52.2.568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047498733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-5491.2006.02050.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049204662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.9.2757", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051160130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1291/hypres.29.611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052048806", 
          "https://doi.org/10.1291/hypres.29.611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077247029", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physrev.1998.78.1.227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083208641"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-10-02", 
    "datePublishedReg": "2007-10-02", 
    "description": "Many genetic association studies support a contribution of genetic variants in the KCNJ11-ABCC8 gene locus to type 2 diabetes (T2D) susceptibility in Caucasians. In non-Caucasian populations, however, there have been only a few association studies, and discordant results were obtained. Herein, we selected a total of 31 SNPs covering a 211.3-kb region of the KCNJ11-ABCC8 locus, characterized the patterns of linkage disequilibrium (LD) and haplotype structure, and performed a case-control association study in a Japanese population consisting of 909 T2D patients and 893 control subjects. We found significant associations between eight SNPs, including the KCNJ11 E23K and ABCC8 S1369A variants, and T2D. These disease-associated SNPs were genetically indistinguishable because of the presence of strong LD, as found previously in Caucasians. For the KCNJ11 E23K variant, the most significant association was obtained under a dominant genetic model (OR 1.32, 95% CI 1.09-1.60, P = 0.004). A meta-analysis of East Asian studies, comprising a total of 3,357 T2D patients (77.4% Japanese) and 2,836 control subjects (77.8% Japanese), confirmed the significant role of the KCNJ11 E23K variant in T2D susceptibility. Furthermore, we found evidence suggesting that the KCNJ11 E23K genotype is independently associated with higher blood-pressure levels.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10038-007-0190-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1294984", 
        "issn": [
          "1434-5161", 
          "1435-232X"
        ], 
        "name": "Journal of Human Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "name": "SNPs in the KCNJ11-ABCC8 gene locus are associated with type 2 diabetes and blood pressure levels in the Japanese population", 
    "pagination": "781", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5dfef9f86a4433e3d6a6871b7447d5da8d46a4ae3d47eab091a749caf6aebf0a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17823772"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9808008"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10038-007-0190-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019727857"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10038-007-0190-x", 
      "https://app.dimensions.ai/details/publication/pub.1019727857"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:34", 
    "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_8684_00000424.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/jhg2007108"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10038-007-0190-x'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10038-007-0190-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10038-007-0190-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10038-007-0190-x'


 

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

314 TRIPLES      21 PREDICATES      73 URIs      35 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10038-007-0190-x schema:about N12d0de35f09b42579f84effd268b8a05
2 N1a52337984cf4f70952d83f9088af6b9
3 N1ef39497883b4cd486680cf61185cd5b
4 N2eaab885bb4d46139cef3ba1f123b1cd
5 N5a710e519e534da39b8d0bfe7b371f21
6 N640df3aff7c94544960a1e4d5c7d1fb5
7 N7d809faa4b4c4ee8b5ef3f22670aa8d1
8 N898b7311aed34575b38475c9736fc30b
9 N9f533fb777944e6c9b7a609c786e4bb7
10 Nb8ea995d041c42ebb69c74bb66efdc5e
11 Nc4f917452bdc4aa485b2d039d2ed7aea
12 Ncc91afb90bb343419f6df226033cbc79
13 Nce8b1cdf1a5348f5b0fb0d8e5574f55d
14 Ncef8fd56906f4217aba0a0fa1f86e6a8
15 Nd1c4fb3917484805853409dfc7084650
16 anzsrc-for:06
17 anzsrc-for:0604
18 schema:author Nd651036a2b814698b62bc70fac6cdc20
19 schema:citation sg:pub.10.1007/s00125-003-1143-3
20 sg:pub.10.1007/s001250051098
21 sg:pub.10.1007/s00439-004-1216-5
22 sg:pub.10.1007/s00439-006-0231-0
23 sg:pub.10.1007/s10038-006-0399-0
24 sg:pub.10.1038/87455
25 sg:pub.10.1291/hypres.29.611
26 https://app.dimensions.ai/details/publication/pub.1077247029
27 https://doi.org/10.1002/dmrr.193
28 https://doi.org/10.1002/humu.20292
29 https://doi.org/10.1016/j.yjmcc.2005.02.026
30 https://doi.org/10.1016/s0079-6107(02)00053-6
31 https://doi.org/10.1046/j.1440-1681.2002.03650.x
32 https://doi.org/10.1073/pnas.1530509100
33 https://doi.org/10.1073/pnas.212315199
34 https://doi.org/10.1111/j.1464-5491.2006.02050.x
35 https://doi.org/10.1126/science.1069424
36 https://doi.org/10.1152/physrev.1998.78.1.227
37 https://doi.org/10.2337/db05-1203
38 https://doi.org/10.2337/db06-0966
39 https://doi.org/10.2337/diabetes.51.2007.s358
40 https://doi.org/10.2337/diabetes.51.2007.s363
41 https://doi.org/10.2337/diabetes.51.3.875
42 https://doi.org/10.2337/diabetes.51.9.2757
43 https://doi.org/10.2337/diabetes.52.10.2630
44 https://doi.org/10.2337/diabetes.52.2.568
45 https://doi.org/10.2337/diabetes.52.2.573
46 https://doi.org/10.2337/diabetes.53.5.1360
47 https://doi.org/10.2337/diabetes.54.11.3065
48 https://doi.org/10.2337/diabetes.54.9.2503
49 schema:datePublished 2007-10-02
50 schema:datePublishedReg 2007-10-02
51 schema:description Many genetic association studies support a contribution of genetic variants in the KCNJ11-ABCC8 gene locus to type 2 diabetes (T2D) susceptibility in Caucasians. In non-Caucasian populations, however, there have been only a few association studies, and discordant results were obtained. Herein, we selected a total of 31 SNPs covering a 211.3-kb region of the KCNJ11-ABCC8 locus, characterized the patterns of linkage disequilibrium (LD) and haplotype structure, and performed a case-control association study in a Japanese population consisting of 909 T2D patients and 893 control subjects. We found significant associations between eight SNPs, including the KCNJ11 E23K and ABCC8 S1369A variants, and T2D. These disease-associated SNPs were genetically indistinguishable because of the presence of strong LD, as found previously in Caucasians. For the KCNJ11 E23K variant, the most significant association was obtained under a dominant genetic model (OR 1.32, 95% CI 1.09-1.60, P = 0.004). A meta-analysis of East Asian studies, comprising a total of 3,357 T2D patients (77.4% Japanese) and 2,836 control subjects (77.8% Japanese), confirmed the significant role of the KCNJ11 E23K variant in T2D susceptibility. Furthermore, we found evidence suggesting that the KCNJ11 E23K genotype is independently associated with higher blood-pressure levels.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree true
55 schema:isPartOf Nad3ce00928bd46a296fa94b2fde6656c
56 Nc95ab83fce474527b5dcafacb40e6555
57 sg:journal.1294984
58 schema:name SNPs in the KCNJ11-ABCC8 gene locus are associated with type 2 diabetes and blood pressure levels in the Japanese population
59 schema:pagination 781
60 schema:productId N640b05e52def43ba857c68683614907e
61 N6f46454c361f46f4ad035e9d42abe76a
62 N72ba8756f11a4021ad0a3a4ffd7e45f2
63 N9be67b4783b741f49a7ca3786d9ca211
64 Nb8dc95ca83734b2db3f2c6052fc31b77
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019727857
66 https://doi.org/10.1007/s10038-007-0190-x
67 schema:sdDatePublished 2019-04-10T20:34
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher N08d030038c99476ab7868625fc977dab
70 schema:url https://www.nature.com/articles/jhg2007108
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N08d030038c99476ab7868625fc977dab schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 N12d0de35f09b42579f84effd268b8a05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Japan
78 rdf:type schema:DefinedTerm
79 N12ed01b901ae4d969622c88d5015acc6 rdf:first sg:person.01000571335.19
80 rdf:rest Nf3730669f9884d77b082b0f8639ee494
81 N1a52337984cf4f70952d83f9088af6b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name ATP-Binding Cassette Transporters
83 rdf:type schema:DefinedTerm
84 N1ef39497883b4cd486680cf61185cd5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Blood Pressure
86 rdf:type schema:DefinedTerm
87 N298426dc17744e3189fd4c8adf8629ee rdf:first sg:person.013753314051.14
88 rdf:rest Nb8aef62274b24d1ebcfa6fb207b32c95
89 N2eaab885bb4d46139cef3ba1f123b1cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Asian Continental Ancestry Group
91 rdf:type schema:DefinedTerm
92 N304e685f5c87485898dd59ec25def651 rdf:first sg:person.01103014626.02
93 rdf:rest N479eade085664f23bbc40307b1740326
94 N327e9ed1c69f4f10890f84a37e88e5a3 rdf:first sg:person.01116153403.95
95 rdf:rest Na5febb084245437093e39551f18f54dd
96 N479eade085664f23bbc40307b1740326 rdf:first sg:person.0677442163.58
97 rdf:rest Na7cdac6d0672439aa59d4207bccb569e
98 N5a710e519e534da39b8d0bfe7b371f21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Middle Aged
100 rdf:type schema:DefinedTerm
101 N640b05e52def43ba857c68683614907e schema:name readcube_id
102 schema:value 5dfef9f86a4433e3d6a6871b7447d5da8d46a4ae3d47eab091a749caf6aebf0a
103 rdf:type schema:PropertyValue
104 N640df3aff7c94544960a1e4d5c7d1fb5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Receptors, Drug
106 rdf:type schema:DefinedTerm
107 N6f46454c361f46f4ad035e9d42abe76a schema:name nlm_unique_id
108 schema:value 9808008
109 rdf:type schema:PropertyValue
110 N72ba8756f11a4021ad0a3a4ffd7e45f2 schema:name doi
111 schema:value 10.1007/s10038-007-0190-x
112 rdf:type schema:PropertyValue
113 N77531466108a44929b104bd432b498f4 rdf:first sg:person.01166316645.73
114 rdf:rest Ne6a0bf73f9224c29a8532d60d138725c
115 N7d809faa4b4c4ee8b5ef3f22670aa8d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Male
117 rdf:type schema:DefinedTerm
118 N898b7311aed34575b38475c9736fc30b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Humans
120 rdf:type schema:DefinedTerm
121 N9be67b4783b741f49a7ca3786d9ca211 schema:name dimensions_id
122 schema:value pub.1019727857
123 rdf:type schema:PropertyValue
124 N9f533fb777944e6c9b7a609c786e4bb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Sulfonylurea Receptors
126 rdf:type schema:DefinedTerm
127 Na5febb084245437093e39551f18f54dd rdf:first sg:person.01126013224.75
128 rdf:rest N77531466108a44929b104bd432b498f4
129 Na7cdac6d0672439aa59d4207bccb569e rdf:first sg:person.0752132326.49
130 rdf:rest Nbd22b982ed134705b193d63aacfc2669
131 Nad3ce00928bd46a296fa94b2fde6656c schema:issueNumber 10
132 rdf:type schema:PublicationIssue
133 Nb8aef62274b24d1ebcfa6fb207b32c95 rdf:first sg:person.01157250072.49
134 rdf:rest N12ed01b901ae4d969622c88d5015acc6
135 Nb8dc95ca83734b2db3f2c6052fc31b77 schema:name pubmed_id
136 schema:value 17823772
137 rdf:type schema:PropertyValue
138 Nb8ea995d041c42ebb69c74bb66efdc5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Diabetes Mellitus, Type 2
140 rdf:type schema:DefinedTerm
141 Nbd22b982ed134705b193d63aacfc2669 rdf:first sg:person.01256041743.21
142 rdf:rest N327e9ed1c69f4f10890f84a37e88e5a3
143 Nc4f917452bdc4aa485b2d039d2ed7aea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Potassium Channels, Inwardly Rectifying
145 rdf:type schema:DefinedTerm
146 Nc95ab83fce474527b5dcafacb40e6555 schema:volumeNumber 52
147 rdf:type schema:PublicationVolume
148 Ncc91afb90bb343419f6df226033cbc79 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Polymorphism, Single Nucleotide
150 rdf:type schema:DefinedTerm
151 Nce8b1cdf1a5348f5b0fb0d8e5574f55d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Female
153 rdf:type schema:DefinedTerm
154 Ncef8fd56906f4217aba0a0fa1f86e6a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Potassium Channels
156 rdf:type schema:DefinedTerm
157 Nd1c4fb3917484805853409dfc7084650 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Aged
159 rdf:type schema:DefinedTerm
160 Nd651036a2b814698b62bc70fac6cdc20 rdf:first sg:person.0757722527.61
161 rdf:rest N298426dc17744e3189fd4c8adf8629ee
162 Ne6a0bf73f9224c29a8532d60d138725c rdf:first sg:person.0601054303.46
163 rdf:rest rdf:nil
164 Nf3730669f9884d77b082b0f8639ee494 rdf:first sg:person.01234432045.32
165 rdf:rest N304e685f5c87485898dd59ec25def651
166 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
167 schema:name Biological Sciences
168 rdf:type schema:DefinedTerm
169 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
170 schema:name Genetics
171 rdf:type schema:DefinedTerm
172 sg:journal.1294984 schema:issn 1434-5161
173 1435-232X
174 schema:name Journal of Human Genetics
175 rdf:type schema:Periodical
176 sg:person.01000571335.19 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
177 schema:familyName Kunika
178 schema:givenName Kiyoshi
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000571335.19
180 rdf:type schema:Person
181 sg:person.01103014626.02 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
182 schema:familyName Itakura
183 schema:givenName Mitsuo
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103014626.02
185 rdf:type schema:Person
186 sg:person.01116153403.95 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
187 schema:familyName Tanahashi
188 schema:givenName Toshihito
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116153403.95
190 rdf:type schema:Person
191 sg:person.01126013224.75 schema:affiliation https://www.grid.ac/institutes/grid.272458.e
192 schema:familyName Yoshikawa
193 schema:givenName Toshikazu
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126013224.75
195 rdf:type schema:Person
196 sg:person.01157250072.49 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
197 schema:familyName Miyawaki
198 schema:givenName Katsuyuki
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157250072.49
200 rdf:type schema:Person
201 sg:person.01166316645.73 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
202 schema:familyName Yamaguchi
203 schema:givenName Yuka
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166316645.73
205 rdf:type schema:Person
206 sg:person.01234432045.32 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
207 schema:familyName Moritani
208 schema:givenName Maki
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234432045.32
210 rdf:type schema:Person
211 sg:person.01256041743.21 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
212 schema:familyName Keshavarz
213 schema:givenName Parvaneh
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256041743.21
215 rdf:type schema:Person
216 sg:person.013753314051.14 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
217 schema:familyName Shiota
218 schema:givenName Hiroshi
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013753314051.14
220 rdf:type schema:Person
221 sg:person.0601054303.46 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
222 schema:familyName Sakamoto
223 schema:givenName Yukiko
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0601054303.46
225 rdf:type schema:Person
226 sg:person.0677442163.58 schema:affiliation https://www.grid.ac/institutes/grid.272458.e
227 schema:familyName Nakamura
228 schema:givenName Naoto
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677442163.58
230 rdf:type schema:Person
231 sg:person.0752132326.49 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
232 schema:familyName Yasui
233 schema:givenName Natsuo
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752132326.49
235 rdf:type schema:Person
236 sg:person.0757722527.61 schema:affiliation https://www.grid.ac/institutes/grid.267335.6
237 schema:familyName Inoue
238 schema:givenName Hiroshi
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757722527.61
240 rdf:type schema:Person
241 sg:pub.10.1007/s00125-003-1143-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041716256
242 https://doi.org/10.1007/s00125-003-1143-3
243 rdf:type schema:CreativeWork
244 sg:pub.10.1007/s001250051098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037186086
245 https://doi.org/10.1007/s001250051098
246 rdf:type schema:CreativeWork
247 sg:pub.10.1007/s00439-004-1216-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025575730
248 https://doi.org/10.1007/s00439-004-1216-5
249 rdf:type schema:CreativeWork
250 sg:pub.10.1007/s00439-006-0231-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015358596
251 https://doi.org/10.1007/s00439-006-0231-0
252 rdf:type schema:CreativeWork
253 sg:pub.10.1007/s10038-006-0399-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006507024
254 https://doi.org/10.1007/s10038-006-0399-0
255 rdf:type schema:CreativeWork
256 sg:pub.10.1038/87455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024968985
257 https://doi.org/10.1038/87455
258 rdf:type schema:CreativeWork
259 sg:pub.10.1291/hypres.29.611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052048806
260 https://doi.org/10.1291/hypres.29.611
261 rdf:type schema:CreativeWork
262 https://app.dimensions.ai/details/publication/pub.1077247029 schema:CreativeWork
263 https://doi.org/10.1002/dmrr.193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029805005
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1002/humu.20292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023125898
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1016/j.yjmcc.2005.02.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039846501
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1016/s0079-6107(02)00053-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043432013
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1046/j.1440-1681.2002.03650.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006296911
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1073/pnas.1530509100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044620917
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1073/pnas.212315199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041716028
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1111/j.1464-5491.2006.02050.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049204662
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1126/science.1069424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010139737
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1152/physrev.1998.78.1.227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083208641
282 rdf:type schema:CreativeWork
283 https://doi.org/10.2337/db05-1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038971114
284 rdf:type schema:CreativeWork
285 https://doi.org/10.2337/db06-0966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036880266
286 rdf:type schema:CreativeWork
287 https://doi.org/10.2337/diabetes.51.2007.s358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013347202
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2337/diabetes.51.2007.s363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039371996
290 rdf:type schema:CreativeWork
291 https://doi.org/10.2337/diabetes.51.3.875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021188492
292 rdf:type schema:CreativeWork
293 https://doi.org/10.2337/diabetes.51.9.2757 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051160130
294 rdf:type schema:CreativeWork
295 https://doi.org/10.2337/diabetes.52.10.2630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005791316
296 rdf:type schema:CreativeWork
297 https://doi.org/10.2337/diabetes.52.2.568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047498733
298 rdf:type schema:CreativeWork
299 https://doi.org/10.2337/diabetes.52.2.573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032441094
300 rdf:type schema:CreativeWork
301 https://doi.org/10.2337/diabetes.53.5.1360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018330328
302 rdf:type schema:CreativeWork
303 https://doi.org/10.2337/diabetes.54.11.3065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003857156
304 rdf:type schema:CreativeWork
305 https://doi.org/10.2337/diabetes.54.9.2503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002586259
306 rdf:type schema:CreativeWork
307 https://www.grid.ac/institutes/grid.267335.6 schema:alternateName University of Tokushima
308 schema:name Department of Ophthalmology and Visual Neuroscience, Institute for Health Biosciences, The University of Tokushima, Tokushima, Japan
309 Department of Orthopedics, Institute of Health Biosciences, The University of Tokushima, Tokushima, Japan
310 Division of Genetic Information, Institute for Genome Research, The University of Tokushima, #3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan
311 rdf:type schema:Organization
312 https://www.grid.ac/institutes/grid.272458.e schema:alternateName Kyoto Prefectural University of Medicine
313 schema:name Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
314 rdf:type schema:Organization
 




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


...