Associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors in Korean obese women View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-11

AUTHORS

K. D. Ko, K. K. Kim, H. S. Suh, I. C. Hwang

ABSTRACT

PURPOSE: It is important to identify a 'metabolically unhealthy obese' subset with higher cardiovascular risk among obese individuals. We investigated the associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors among Korean obese women. METHODS: This study was a sub-investigation of a double-blind randomized controlled trial that examined the additive effect of or list at on weight loss with sibutramine. A sample of 111 obese women were divided into T-carriers (CT/TT) or a homozygous CC group, according to the presence of the 825T allele at GNB3. These groups were compared to determine their associations with obesity-related metabolic risk factors, i.e., fasting plasma glucose, serum lipids, serum insulin/insulin resistance, and abdominal fat amounts. RESULTS: The allele frequencies of the GNB3 polymorphism were C allele = 59.5% and T allele = 40.5%. The T allele was found to be significantly associated with greater visceral fat and higher serum lipids, and these significances remained robust after adjusting for potential covariates. CONCLUSIONS: The GNB3 825T polymorphism is significantly associated with greater visceral fat and higher serum lipids in Korean obese women and it suggests that the GNB3 C825T is a determinant of obesity-related metabolic traits in this population. More... »

PAGES

1117-1120

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40618-014-0182-6

DOI

http://dx.doi.org/10.1007/s40618-014-0182-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013971106

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25280441


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "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": "Double-Blind Method", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Association Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heterotrimeric GTP-Binding Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Insulin Resistance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Republic of Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Family Medicine, Gachon University Gil Medical Center, 1198 Guwol-dong, Namdong-gu, 405-760, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ko", 
        "givenName": "K. D.", 
        "id": "sg:person.01006206464.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006206464.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Family Medicine, Gachon University Gil Medical Center, 1198 Guwol-dong, Namdong-gu, 405-760, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "K. K.", 
        "id": "sg:person.0671760064.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671760064.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Family Medicine, Gachon University Gil Medical Center, 1198 Guwol-dong, Namdong-gu, 405-760, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "H. S.", 
        "id": "sg:person.0740073264.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740073264.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Family Medicine, Gachon University Gil Medical Center, 1198 Guwol-dong, Namdong-gu, 405-760, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hwang", 
        "givenName": "I. C.", 
        "id": "sg:person.01165746746.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165746746.79"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0167-4889(97)90003-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001114679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-4889(97)90003-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001114679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.08.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002139734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000058159.63950.ea", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006178602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000058159.63950.ea", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006178602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2840-2-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008991237", 
          "https://doi.org/10.1186/1475-2840-2-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0803499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009155859", 
          "https://doi.org/10.1038/sj.ijo.0803499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0803499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009155859", 
          "https://doi.org/10.1038/sj.ijo.0803499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/meta.2001.27213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018949427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehs174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019056858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cca.2013.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021371958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/oby.2004.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022647706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-7061(99)00118-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025488773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00280883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027902786", 
          "https://doi.org/10.1007/bf00280883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12263-012-0304-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035226760", 
          "https://doi.org/10.1007/s12263-012-0304-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12263-012-0304-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035226760", 
          "https://doi.org/10.1007/s12263-012-0304-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11892-008-0025-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035807947", 
          "https://doi.org/10.1007/s11892-008-0025-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.110387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037123961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.110387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037123961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0800789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050669030", 
          "https://doi.org/10.1038/sj.ijo.0800789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.ijo.0800789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050669030", 
          "https://doi.org/10.1038/sj.ijo.0800789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.5.1601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051821819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0049-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053258218", 
          "https://doi.org/10.1007/s00125-005-0049-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0049-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053258218", 
          "https://doi.org/10.1007/s00125-005-0049-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-005-0049-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053258218", 
          "https://doi.org/10.1007/s00125-005-0049-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0029-1233465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057203174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076604439", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-11", 
    "datePublishedReg": "2014-11-01", 
    "description": "PURPOSE: It is important to identify a 'metabolically unhealthy obese' subset with higher cardiovascular risk among obese individuals. We investigated the associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors among Korean obese women.\nMETHODS: This study was a sub-investigation of a double-blind randomized controlled trial that examined the additive effect of or list at on weight loss with sibutramine. A sample of 111 obese women were divided into T-carriers (CT/TT) or a homozygous CC group, according to the presence of the 825T allele at GNB3. These groups were compared to determine their associations with obesity-related metabolic risk factors, i.e., fasting plasma glucose, serum lipids, serum insulin/insulin resistance, and abdominal fat amounts.\nRESULTS: The allele frequencies of the GNB3 polymorphism were C allele = 59.5% and T allele = 40.5%. The T allele was found to be significantly associated with greater visceral fat and higher serum lipids, and these significances remained robust after adjusting for potential covariates.\nCONCLUSIONS: The GNB3 825T polymorphism is significantly associated with greater visceral fat and higher serum lipids in Korean obese women and it suggests that the GNB3 C825T is a determinant of obesity-related metabolic traits in this population.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s40618-014-0182-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1088396", 
        "issn": [
          "0391-4097", 
          "1720-8386"
        ], 
        "name": "Journal of Endocrinological Investigation", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "37"
      }
    ], 
    "name": "Associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors in Korean obese women", 
    "pagination": "1117-1120", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "428deac9bfb2a7241c4122d5f82123f94011893d7a562a1e0866b8a2e556ff81"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25280441"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7806594"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40618-014-0182-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013971106"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40618-014-0182-6", 
      "https://app.dimensions.ai/details/publication/pub.1013971106"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000521.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs40618-014-0182-6"
  }
]
 

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/s40618-014-0182-6'

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/s40618-014-0182-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40618-014-0182-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40618-014-0182-6'


 

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

217 TRIPLES      21 PREDICATES      64 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40618-014-0182-6 schema:about N0ab4b9759e5448449d0b7f2b962290a8
2 N0d8d1830b0414eeaaec38cbe46a93b9c
3 N1894eecc736c4cfc9689b5e77a2c932e
4 N29acdd0bd55c4d64acb4d99ff2568666
5 N2f276da49409426589e112dd984b03cc
6 N4e4d97ed0c744a77bfb375b278d964b2
7 N568e7b2a22754694a4eda68d9aa552fb
8 N8b9d96cd84f84bdfb90adc824db1a73e
9 N8de7cb34a4284338b6f3a22adda02c6f
10 Nbaee053f51934639a57e8abd43462876
11 Nbfa892ea1a574f4ab7f0c11dea8fdbaa
12 Nc049eeaee6094c10af5fe27e3fa70b27
13 Nd1debb1d02304e2082a6aeef9c839d66
14 Nd216449287454edf9d1bb64f889c4c48
15 Nd301a091f2d4461880d3e8479429a447
16 Nd678774820f04292916affe9595046a4
17 anzsrc-for:11
18 anzsrc-for:1103
19 schema:author Nc1e1ea7ced9540d38406a4a2467434d3
20 schema:citation sg:pub.10.1007/bf00280883
21 sg:pub.10.1007/s00125-005-0049-7
22 sg:pub.10.1007/s11892-008-0025-y
23 sg:pub.10.1007/s12263-012-0304-8
24 sg:pub.10.1038/sj.ijo.0800789
25 sg:pub.10.1038/sj.ijo.0803499
26 sg:pub.10.1186/1475-2840-2-7
27 https://app.dimensions.ai/details/publication/pub.1076604439
28 https://doi.org/10.1016/j.cca.2013.11.007
29 https://doi.org/10.1016/j.cell.2008.08.040
30 https://doi.org/10.1016/s0167-4889(97)90003-3
31 https://doi.org/10.1016/s0895-7061(99)00118-1
32 https://doi.org/10.1038/oby.2004.78
33 https://doi.org/10.1053/meta.2001.27213
34 https://doi.org/10.1055/s-0029-1233465
35 https://doi.org/10.1093/eurheartj/ehs174
36 https://doi.org/10.1161/01.str.0000058159.63950.ea
37 https://doi.org/10.1503/cmaj.110387
38 https://doi.org/10.2337/diabetes.51.5.1601
39 schema:datePublished 2014-11
40 schema:datePublishedReg 2014-11-01
41 schema:description PURPOSE: It is important to identify a 'metabolically unhealthy obese' subset with higher cardiovascular risk among obese individuals. We investigated the associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors among Korean obese women. METHODS: This study was a sub-investigation of a double-blind randomized controlled trial that examined the additive effect of or list at on weight loss with sibutramine. A sample of 111 obese women were divided into T-carriers (CT/TT) or a homozygous CC group, according to the presence of the 825T allele at GNB3. These groups were compared to determine their associations with obesity-related metabolic risk factors, i.e., fasting plasma glucose, serum lipids, serum insulin/insulin resistance, and abdominal fat amounts. RESULTS: The allele frequencies of the GNB3 polymorphism were C allele = 59.5% and T allele = 40.5%. The T allele was found to be significantly associated with greater visceral fat and higher serum lipids, and these significances remained robust after adjusting for potential covariates. CONCLUSIONS: The GNB3 825T polymorphism is significantly associated with greater visceral fat and higher serum lipids in Korean obese women and it suggests that the GNB3 C825T is a determinant of obesity-related metabolic traits in this population.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N4190c8b5ac3d452281faa6b796328ce5
46 Ned99c18c6fde40caaaa63134dd25f45b
47 sg:journal.1088396
48 schema:name Associations between the GNB3 C825T polymorphism and obesity-related metabolic risk factors in Korean obese women
49 schema:pagination 1117-1120
50 schema:productId N1b13cbb532594f668e60effb8f2bba33
51 N656bb51ef6094452976ad13b93dd9b88
52 Nd6b2689d77f743f19931410a7eefe7aa
53 Nd92f572451f24ec1a4ce43e76e8f06e6
54 Nfa54648c791b4a83bdd513bd2550709e
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013971106
56 https://doi.org/10.1007/s40618-014-0182-6
57 schema:sdDatePublished 2019-04-10T23:26
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N37e5bf899db3483fb8cebb84875fa0ab
60 schema:url http://link.springer.com/10.1007%2Fs40618-014-0182-6
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N0ab4b9759e5448449d0b7f2b962290a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Gene Frequency
66 rdf:type schema:DefinedTerm
67 N0d8d1830b0414eeaaec38cbe46a93b9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Republic of Korea
69 rdf:type schema:DefinedTerm
70 N1894eecc736c4cfc9689b5e77a2c932e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Obesity
72 rdf:type schema:DefinedTerm
73 N1b13cbb532594f668e60effb8f2bba33 schema:name nlm_unique_id
74 schema:value 7806594
75 rdf:type schema:PropertyValue
76 N29acdd0bd55c4d64acb4d99ff2568666 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Humans
78 rdf:type schema:DefinedTerm
79 N2f276da49409426589e112dd984b03cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Heterotrimeric GTP-Binding Proteins
81 rdf:type schema:DefinedTerm
82 N37e5bf899db3483fb8cebb84875fa0ab schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N3d516927ec184a27a7078265c7a7aa24 rdf:first sg:person.0671760064.48
85 rdf:rest N77bdd900abfa46ebb9982edf96bf2a85
86 N4190c8b5ac3d452281faa6b796328ce5 schema:volumeNumber 37
87 rdf:type schema:PublicationVolume
88 N4e4d97ed0c744a77bfb375b278d964b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Insulin Resistance
90 rdf:type schema:DefinedTerm
91 N568e7b2a22754694a4eda68d9aa552fb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Asian Continental Ancestry Group
93 rdf:type schema:DefinedTerm
94 N5fcb8b6142ee4c9da0316e9ecd3eb075 rdf:first sg:person.01165746746.79
95 rdf:rest rdf:nil
96 N656bb51ef6094452976ad13b93dd9b88 schema:name pubmed_id
97 schema:value 25280441
98 rdf:type schema:PropertyValue
99 N77bdd900abfa46ebb9982edf96bf2a85 rdf:first sg:person.0740073264.17
100 rdf:rest N5fcb8b6142ee4c9da0316e9ecd3eb075
101 N8b9d96cd84f84bdfb90adc824db1a73e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Adult
103 rdf:type schema:DefinedTerm
104 N8de7cb34a4284338b6f3a22adda02c6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Female
106 rdf:type schema:DefinedTerm
107 Nbaee053f51934639a57e8abd43462876 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Genetic Association Studies
109 rdf:type schema:DefinedTerm
110 Nbfa892ea1a574f4ab7f0c11dea8fdbaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Blood Pressure
112 rdf:type schema:DefinedTerm
113 Nc049eeaee6094c10af5fe27e3fa70b27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Middle Aged
115 rdf:type schema:DefinedTerm
116 Nc1e1ea7ced9540d38406a4a2467434d3 rdf:first sg:person.01006206464.95
117 rdf:rest N3d516927ec184a27a7078265c7a7aa24
118 Nd1debb1d02304e2082a6aeef9c839d66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Young Adult
120 rdf:type schema:DefinedTerm
121 Nd216449287454edf9d1bb64f889c4c48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Polymorphism, Genetic
123 rdf:type schema:DefinedTerm
124 Nd301a091f2d4461880d3e8479429a447 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Risk Factors
126 rdf:type schema:DefinedTerm
127 Nd678774820f04292916affe9595046a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Double-Blind Method
129 rdf:type schema:DefinedTerm
130 Nd6b2689d77f743f19931410a7eefe7aa schema:name dimensions_id
131 schema:value pub.1013971106
132 rdf:type schema:PropertyValue
133 Nd92f572451f24ec1a4ce43e76e8f06e6 schema:name readcube_id
134 schema:value 428deac9bfb2a7241c4122d5f82123f94011893d7a562a1e0866b8a2e556ff81
135 rdf:type schema:PropertyValue
136 Ned99c18c6fde40caaaa63134dd25f45b schema:issueNumber 11
137 rdf:type schema:PublicationIssue
138 Nfa54648c791b4a83bdd513bd2550709e schema:name doi
139 schema:value 10.1007/s40618-014-0182-6
140 rdf:type schema:PropertyValue
141 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
142 schema:name Medical and Health Sciences
143 rdf:type schema:DefinedTerm
144 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
145 schema:name Clinical Sciences
146 rdf:type schema:DefinedTerm
147 sg:journal.1088396 schema:issn 0391-4097
148 1720-8386
149 schema:name Journal of Endocrinological Investigation
150 rdf:type schema:Periodical
151 sg:person.01006206464.95 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
152 schema:familyName Ko
153 schema:givenName K. D.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006206464.95
155 rdf:type schema:Person
156 sg:person.01165746746.79 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
157 schema:familyName Hwang
158 schema:givenName I. C.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165746746.79
160 rdf:type schema:Person
161 sg:person.0671760064.48 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
162 schema:familyName Kim
163 schema:givenName K. K.
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671760064.48
165 rdf:type schema:Person
166 sg:person.0740073264.17 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
167 schema:familyName Suh
168 schema:givenName H. S.
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740073264.17
170 rdf:type schema:Person
171 sg:pub.10.1007/bf00280883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027902786
172 https://doi.org/10.1007/bf00280883
173 rdf:type schema:CreativeWork
174 sg:pub.10.1007/s00125-005-0049-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053258218
175 https://doi.org/10.1007/s00125-005-0049-7
176 rdf:type schema:CreativeWork
177 sg:pub.10.1007/s11892-008-0025-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1035807947
178 https://doi.org/10.1007/s11892-008-0025-y
179 rdf:type schema:CreativeWork
180 sg:pub.10.1007/s12263-012-0304-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035226760
181 https://doi.org/10.1007/s12263-012-0304-8
182 rdf:type schema:CreativeWork
183 sg:pub.10.1038/sj.ijo.0800789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050669030
184 https://doi.org/10.1038/sj.ijo.0800789
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/sj.ijo.0803499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009155859
187 https://doi.org/10.1038/sj.ijo.0803499
188 rdf:type schema:CreativeWork
189 sg:pub.10.1186/1475-2840-2-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008991237
190 https://doi.org/10.1186/1475-2840-2-7
191 rdf:type schema:CreativeWork
192 https://app.dimensions.ai/details/publication/pub.1076604439 schema:CreativeWork
193 https://doi.org/10.1016/j.cca.2013.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021371958
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.cell.2008.08.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002139734
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/s0167-4889(97)90003-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001114679
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/s0895-7061(99)00118-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025488773
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1038/oby.2004.78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022647706
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1053/meta.2001.27213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018949427
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1055/s-0029-1233465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057203174
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1093/eurheartj/ehs174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019056858
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1161/01.str.0000058159.63950.ea schema:sameAs https://app.dimensions.ai/details/publication/pub.1006178602
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1503/cmaj.110387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037123961
212 rdf:type schema:CreativeWork
213 https://doi.org/10.2337/diabetes.51.5.1601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051821819
214 rdf:type schema:CreativeWork
215 https://www.grid.ac/institutes/grid.411653.4 schema:alternateName Gachon University Gil Medical Center
216 schema:name Department of Family Medicine, Gachon University Gil Medical Center, 1198 Guwol-dong, Namdong-gu, 405-760, Incheon, Republic of Korea
217 rdf:type schema:Organization
 




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


...