A genome wide association analysis in the GENDER study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-06

AUTHORS

M. L. Sampietro, D. Pons, P. de Knijff, P. E. Slagboom, A. H. Zwinderman, J. W. Jukema

ABSTRACT

Percutaneous coronary intervention (PCI) has become an effective therapy to treat coronary artery diseases. However, one of the major drawbacks of PCI is the occurrence of restenosis in 8 to 40% of all treated patients. The GENetic Determinants of Restenosis (GENDER) project was designed to study the association between genetic polymorphisims and clinical restenosis. The discovery of genetic variants associated to the occurrence of restenosis after PCI may provide a more tailored therapy and may serve as rationale for new antirestenotic therapies. So far, several candidate gene approaches had already been performed in the GENDER samples but a Genome Wide Association Scan (GWAS) was still lacking. Here, we present preliminary results from the GWAS we are currently carrying out in the GENDER population. (Neth Heart J 2009;17:262–4.) More... »

PAGES

262-264

Journal

TITLE

Netherlands Heart Journal

ISSUE

6

VOLUME

17

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf03086261

DOI

http://dx.doi.org/10.1007/bf03086261

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051631379

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19789690


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "familyName": "Sampietro", 
        "givenName": "M. L.", 
        "id": "sg:person.01165302105.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165302105.35"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Pons", 
        "givenName": "D.", 
        "id": "sg:person.01001072317.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001072317.35"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "de Knijff", 
        "givenName": "P.", 
        "id": "sg:person.01015001147.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015001147.82"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Slagboom", 
        "givenName": "P. E.", 
        "id": "sg:person.0607045233.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607045233.26"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Zwinderman", 
        "givenName": "A. H.", 
        "id": "sg:person.013124732535.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013124732535.02"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Jukema", 
        "givenName": "J. W.", 
        "id": "sg:person.016674701102.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016674701102.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature07229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038869319", 
          "https://doi.org/10.1038/nature07229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.gene.6364343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019970809", 
          "https://doi.org/10.1038/sj.gene.6364343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027003333", 
          "https://doi.org/10.1038/ng.313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00129784-200202030-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036535687", 
          "https://doi.org/10.2165/00129784-200202030-00004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng2093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049199007", 
          "https://doi.org/10.1038/ng2093"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-06", 
    "datePublishedReg": "2009-06-01", 
    "description": "Percutaneous coronary intervention (PCI) has become an effective therapy to treat coronary artery diseases. However, one of the major drawbacks of PCI is the occurrence of restenosis in 8 to 40% of all treated patients. The GENetic Determinants of Restenosis (GENDER) project was designed to study the association between genetic polymorphisims and clinical restenosis. The discovery of genetic variants associated to the occurrence of restenosis after PCI may provide a more tailored therapy and may serve as rationale for new antirestenotic therapies. So far, several candidate gene approaches had already been performed in the GENDER samples but a Genome Wide Association Scan (GWAS) was still lacking. Here, we present preliminary results from the GWAS we are currently carrying out in the GENDER population. (Neth Heart J 2009;17:262\u20134.)", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf03086261", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1029148", 
        "issn": [
          "1568-5888", 
          "1876-6250"
        ], 
        "name": "Netherlands Heart Journal", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "genome-wide association scans", 
      "genome-wide association analysis", 
      "wide association analysis", 
      "wide association scan", 
      "candidate gene approach", 
      "association scan", 
      "gene approach", 
      "association analysis", 
      "genetic determinants", 
      "genetic variants", 
      "percutaneous coronary intervention", 
      "occurrence of restenosis", 
      "Restenosis (GENDER) project", 
      "antirestenotic therapy", 
      "coronary artery disease", 
      "discovery", 
      "variants", 
      "coronary intervention", 
      "clinical restenosis", 
      "artery disease", 
      "effective therapy", 
      "tailored therapy", 
      "population", 
      "occurrence", 
      "restenosis", 
      "therapy", 
      "determinants", 
      "gender populations", 
      "gender sample", 
      "analysis", 
      "association", 
      "disease", 
      "patients", 
      "intervention", 
      "scans", 
      "study", 
      "results", 
      "preliminary results", 
      "rationale", 
      "samples", 
      "approach", 
      "major drawback", 
      "project", 
      "drawbacks", 
      "gender studies", 
      "genetic polymorphisims", 
      "polymorphisims", 
      "new antirestenotic therapies"
    ], 
    "name": "A genome wide association analysis in the GENDER study", 
    "pagination": "262-264", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051631379"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf03086261"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19789690"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf03086261", 
      "https://app.dimensions.ai/details/publication/pub.1051631379"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:13", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf03086261"
  }
]
 

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/bf03086261'

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/bf03086261'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf03086261'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf03086261'


 

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

156 TRIPLES      22 PREDICATES      80 URIs      67 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf03086261 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N3a1fc8c48c7e46dba82a92f0dac4533e
4 schema:citation sg:pub.10.1038/nature07229
5 sg:pub.10.1038/ng.313
6 sg:pub.10.1038/ng2093
7 sg:pub.10.1038/sj.gene.6364343
8 sg:pub.10.2165/00129784-200202030-00004
9 schema:datePublished 2009-06
10 schema:datePublishedReg 2009-06-01
11 schema:description Percutaneous coronary intervention (PCI) has become an effective therapy to treat coronary artery diseases. However, one of the major drawbacks of PCI is the occurrence of restenosis in 8 to 40% of all treated patients. The GENetic Determinants of Restenosis (GENDER) project was designed to study the association between genetic polymorphisims and clinical restenosis. The discovery of genetic variants associated to the occurrence of restenosis after PCI may provide a more tailored therapy and may serve as rationale for new antirestenotic therapies. So far, several candidate gene approaches had already been performed in the GENDER samples but a Genome Wide Association Scan (GWAS) was still lacking. Here, we present preliminary results from the GWAS we are currently carrying out in the GENDER population. (Neth Heart J 2009;17:262–4.)
12 schema:genre article
13 schema:inLanguage en
14 schema:isAccessibleForFree true
15 schema:isPartOf N06cb844ed2fc485bb53df51fb840e394
16 Ne6648e30be5d4147b951ffa06cd740a9
17 sg:journal.1029148
18 schema:keywords Restenosis (GENDER) project
19 analysis
20 antirestenotic therapy
21 approach
22 artery disease
23 association
24 association analysis
25 association scan
26 candidate gene approach
27 clinical restenosis
28 coronary artery disease
29 coronary intervention
30 determinants
31 discovery
32 disease
33 drawbacks
34 effective therapy
35 gender populations
36 gender sample
37 gender studies
38 gene approach
39 genetic determinants
40 genetic polymorphisims
41 genetic variants
42 genome-wide association analysis
43 genome-wide association scans
44 intervention
45 major drawback
46 new antirestenotic therapies
47 occurrence
48 occurrence of restenosis
49 patients
50 percutaneous coronary intervention
51 polymorphisims
52 population
53 preliminary results
54 project
55 rationale
56 restenosis
57 results
58 samples
59 scans
60 study
61 tailored therapy
62 therapy
63 variants
64 wide association analysis
65 wide association scan
66 schema:name A genome wide association analysis in the GENDER study
67 schema:pagination 262-264
68 schema:productId N1daf2771e8a94d7b96517dabe48f704d
69 N39a7c26f7379495b965879ce26af439b
70 N80c072debc3f43f7871dc23105e4ebe9
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051631379
72 https://doi.org/10.1007/bf03086261
73 schema:sdDatePublished 2021-11-01T18:13
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N0010546916374616a4cd6a834a70d63c
76 schema:url https://doi.org/10.1007/bf03086261
77 sgo:license sg:explorer/license/
78 sgo:sdDataset articles
79 rdf:type schema:ScholarlyArticle
80 N0010546916374616a4cd6a834a70d63c schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 N06cb844ed2fc485bb53df51fb840e394 schema:issueNumber 6
83 rdf:type schema:PublicationIssue
84 N1daf2771e8a94d7b96517dabe48f704d schema:name pubmed_id
85 schema:value 19789690
86 rdf:type schema:PropertyValue
87 N39a7c26f7379495b965879ce26af439b schema:name doi
88 schema:value 10.1007/bf03086261
89 rdf:type schema:PropertyValue
90 N3a1fc8c48c7e46dba82a92f0dac4533e rdf:first sg:person.01165302105.35
91 rdf:rest N77ac541d2dae45bbab104a4cbb993c31
92 N77ac541d2dae45bbab104a4cbb993c31 rdf:first sg:person.01001072317.35
93 rdf:rest Nb96cc79074df4652a471d8bf35fccd57
94 N80c072debc3f43f7871dc23105e4ebe9 schema:name dimensions_id
95 schema:value pub.1051631379
96 rdf:type schema:PropertyValue
97 N82cb687383ed495e8d7235aaee5acc75 rdf:first sg:person.0607045233.26
98 rdf:rest Nbbafaf11d8fc401292ce01674308cb75
99 N884040600dd746b98027fa206e475e3f rdf:first sg:person.016674701102.75
100 rdf:rest rdf:nil
101 Nb96cc79074df4652a471d8bf35fccd57 rdf:first sg:person.01015001147.82
102 rdf:rest N82cb687383ed495e8d7235aaee5acc75
103 Nbbafaf11d8fc401292ce01674308cb75 rdf:first sg:person.013124732535.02
104 rdf:rest N884040600dd746b98027fa206e475e3f
105 Ne6648e30be5d4147b951ffa06cd740a9 schema:volumeNumber 17
106 rdf:type schema:PublicationVolume
107 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
108 schema:name Biological Sciences
109 rdf:type schema:DefinedTerm
110 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
111 schema:name Genetics
112 rdf:type schema:DefinedTerm
113 sg:journal.1029148 schema:issn 1568-5888
114 1876-6250
115 schema:name Netherlands Heart Journal
116 schema:publisher Springer Nature
117 rdf:type schema:Periodical
118 sg:person.01001072317.35 schema:familyName Pons
119 schema:givenName D.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001072317.35
121 rdf:type schema:Person
122 sg:person.01015001147.82 schema:familyName de Knijff
123 schema:givenName P.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015001147.82
125 rdf:type schema:Person
126 sg:person.01165302105.35 schema:familyName Sampietro
127 schema:givenName M. L.
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165302105.35
129 rdf:type schema:Person
130 sg:person.013124732535.02 schema:familyName Zwinderman
131 schema:givenName A. H.
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013124732535.02
133 rdf:type schema:Person
134 sg:person.016674701102.75 schema:familyName Jukema
135 schema:givenName J. W.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016674701102.75
137 rdf:type schema:Person
138 sg:person.0607045233.26 schema:familyName Slagboom
139 schema:givenName P. E.
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607045233.26
141 rdf:type schema:Person
142 sg:pub.10.1038/nature07229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038869319
143 https://doi.org/10.1038/nature07229
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/ng.313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027003333
146 https://doi.org/10.1038/ng.313
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/ng2093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049199007
149 https://doi.org/10.1038/ng2093
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/sj.gene.6364343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019970809
152 https://doi.org/10.1038/sj.gene.6364343
153 rdf:type schema:CreativeWork
154 sg:pub.10.2165/00129784-200202030-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036535687
155 https://doi.org/10.2165/00129784-200202030-00004
156 rdf:type schema:CreativeWork
 




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


...