Two common mutations within CYP2C19 affected platelet aggregation in Chinese patients undergoing PCI: a one-year follow-up study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Zhifu Wang, Zhaohui Liu, Wenyao Wang, Yuanyuan Fu, Wen Chen, Wenke Li, Xue Zhang, Yida Tang, Zhou Zhou

ABSTRACT

The effect of dual antiplatelet therapy, clopidogrel combined with aspirin, was influenced by CYP2C19 gene mutation and heterogeneity of population. Related studies remained controversial and limited, especially in Chinese. Total 3295 unrelated ACS Chinese patients undergoing percutaneous coronary intervention (PCI) were recruited and followed up to 1 year. Meanwhile, baseline and clinical data were retrieved. CYP2C19*2 and *3 were genotyped by sequencing. Associations of variants and metabolic types with platelet reactivity (PR) were analyzed by a logistic regression model. And, a Cox proportional hazards model was utilized to analyze survival data. Confounders included gender, age, smoking status, dosage of aspirin and clopidogrel, and BMI. It was found that patients with allele A in CYP2C19*2 and *3 were susceptibility to high PR (OR, 95%CI and P values were 1.34, 1.20-1.50, <0.0001 and 1.42, 1.13-1.79, 0.0029, respectively) after taking clopidogrel. The PR increased along with the number of loss of function (LOF) allele increased and did in order of haplotype*1, *2, and *3. This research suggested that LOF alleles and risk haplotypes in CYP2C19 could significantly attenuate the response to clopidogrel, which resulted in platelet aggregation. More... »

PAGES

157-163

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41397-018-0036-2

DOI

http://dx.doi.org/10.1038/s41397-018-0036-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105886880

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30061570


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Zhifu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Zhaohui", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Wenyao", 
        "id": "sg:person.012407477645.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012407477645.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fu", 
        "givenName": "Yuanyuan", 
        "id": "sg:person.01067270552.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067270552.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Wen", 
        "id": "sg:person.016141405321.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016141405321.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Wenke", 
        "id": "sg:person.011452605725.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011452605725.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Xue", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tang", 
        "givenName": "Yida", 
        "id": "sg:person.07706440577.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07706440577.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Peking Union Medical College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413106.1", 
          "name": [
            "State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Zhou", 
        "id": "sg:person.01312265044.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312265044.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/clpt.2011.127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003167365", 
          "https://doi.org/10.1038/clpt.2011.127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2016.8662", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005030771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(02)02374-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006794097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(02)02374-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006794097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hpc.0b013e3182846e16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007000617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hpc.0b013e3182846e16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007000617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hpc.0b013e3182846e16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007000617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.d4588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007943098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00207454.2012.744308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017034290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2006.10.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019843872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2012.11.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019916030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2013.07.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020743254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1008410", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021336871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.114.000669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023066790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.114.000669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023066790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cns.12426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024839902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2010.05.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029783601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0809171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039584602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijcard.2016.04.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041130281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2007.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043780805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199408253310802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048330344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0808227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048878357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2015.01.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050187376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1409312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051736615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.thromres.2013.06.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053037407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmc1013331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078341530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082587362", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082696445", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijcard.2017.03.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084079634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11096-017-0451-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085937637", 
          "https://doi.org/10.1007/s11096-017-0451-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11096-017-0451-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085937637", 
          "https://doi.org/10.1007/s11096-017-0451-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "The effect of dual antiplatelet therapy, clopidogrel combined with aspirin, was influenced by CYP2C19 gene mutation and heterogeneity of population. Related studies remained controversial and limited, especially in Chinese. Total 3295 unrelated ACS Chinese patients undergoing percutaneous coronary intervention (PCI) were recruited and followed up to 1 year. Meanwhile, baseline and clinical data were retrieved. CYP2C19*2 and *3 were genotyped by sequencing. Associations of variants and metabolic types with platelet reactivity (PR) were analyzed by a logistic regression model. And, a Cox proportional hazards model was utilized to analyze survival data. Confounders included gender, age, smoking status, dosage of aspirin and clopidogrel, and BMI. It was found that patients with allele A in CYP2C19*2 and *3 were susceptibility to high PR (OR, 95%CI and P values were 1.34, 1.20-1.50, <0.0001 and 1.42, 1.13-1.79, 0.0029, respectively) after taking clopidogrel. The PR increased along with the number of loss of function (LOF) allele increased and did in order of haplotype*1, *2, and *3. This research suggested that LOF alleles and risk haplotypes in CYP2C19 could significantly attenuate the response to clopidogrel, which resulted in platelet aggregation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41397-018-0036-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1027238", 
        "issn": [
          "1470-269X", 
          "1473-1150"
        ], 
        "name": "The Pharmacogenomics Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Two common mutations within CYP2C19 affected platelet aggregation in Chinese patients undergoing PCI: a one-year follow-up study", 
    "pagination": "157-163", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9a30f9b59b5c469a53ce7a4dc961e0cb2ad4c6962d4bf22515960e7e246eb086"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30061570"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101083949"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41397-018-0036-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105886880"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41397-018-0036-2", 
      "https://app.dimensions.ai/details/publication/pub.1105886880"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:28", 
    "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/v90/0000000373_0000000373/records_13078_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41397-018-0036-2"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41397-018-0036-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41397-018-0036-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41397-018-0036-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41397-018-0036-2'


 

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

202 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41397-018-0036-2 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Ne24a3d3b650642869c59e7df48fac664
4 schema:citation sg:pub.10.1007/s11096-017-0451-5
5 sg:pub.10.1038/clpt.2011.127
6 https://app.dimensions.ai/details/publication/pub.1082587362
7 https://app.dimensions.ai/details/publication/pub.1082696445
8 https://doi.org/10.1001/jama.2016.8662
9 https://doi.org/10.1016/j.ahj.2007.04.014
10 https://doi.org/10.1016/j.ahj.2010.05.034
11 https://doi.org/10.1016/j.ijcard.2016.04.044
12 https://doi.org/10.1016/j.ijcard.2017.03.015
13 https://doi.org/10.1016/j.jacc.2006.10.050
14 https://doi.org/10.1016/j.jacc.2012.11.040
15 https://doi.org/10.1016/j.jacc.2013.07.101
16 https://doi.org/10.1016/j.jacc.2015.01.039
17 https://doi.org/10.1016/j.thromres.2013.06.015
18 https://doi.org/10.1016/s0735-1097(02)02374-4
19 https://doi.org/10.1056/nejm199408253310802
20 https://doi.org/10.1056/nejmc1013331
21 https://doi.org/10.1056/nejmoa0808227
22 https://doi.org/10.1056/nejmoa0809171
23 https://doi.org/10.1056/nejmoa1008410
24 https://doi.org/10.1056/nejmoa1409312
25 https://doi.org/10.1097/hpc.0b013e3182846e16
26 https://doi.org/10.1111/cns.12426
27 https://doi.org/10.1136/bmj.d4588
28 https://doi.org/10.1161/circgenetics.114.000669
29 https://doi.org/10.3109/00207454.2012.744308
30 schema:datePublished 2019-04
31 schema:datePublishedReg 2019-04-01
32 schema:description The effect of dual antiplatelet therapy, clopidogrel combined with aspirin, was influenced by CYP2C19 gene mutation and heterogeneity of population. Related studies remained controversial and limited, especially in Chinese. Total 3295 unrelated ACS Chinese patients undergoing percutaneous coronary intervention (PCI) were recruited and followed up to 1 year. Meanwhile, baseline and clinical data were retrieved. CYP2C19*2 and *3 were genotyped by sequencing. Associations of variants and metabolic types with platelet reactivity (PR) were analyzed by a logistic regression model. And, a Cox proportional hazards model was utilized to analyze survival data. Confounders included gender, age, smoking status, dosage of aspirin and clopidogrel, and BMI. It was found that patients with allele A in CYP2C19*2 and *3 were susceptibility to high PR (OR, 95%CI and P values were 1.34, 1.20-1.50, <0.0001 and 1.42, 1.13-1.79, 0.0029, respectively) after taking clopidogrel. The PR increased along with the number of loss of function (LOF) allele increased and did in order of haplotype*1, *2, and *3. This research suggested that LOF alleles and risk haplotypes in CYP2C19 could significantly attenuate the response to clopidogrel, which resulted in platelet aggregation.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N2e007eb305e0432aae013af1d8363ee8
37 N872dd610cf1848b982175e4ec8f09d6d
38 sg:journal.1027238
39 schema:name Two common mutations within CYP2C19 affected platelet aggregation in Chinese patients undergoing PCI: a one-year follow-up study
40 schema:pagination 157-163
41 schema:productId N2b190b2bb8ed407d976c3e407e65d56b
42 N771054efde85405c9b0ef1005af56a43
43 Nbcc36571a81044e5bd17366f4c39c9eb
44 Nd7a5e2c85ad7481c96c426a79e71eab8
45 Neb41af4679b14f7d8299c74652d779c4
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105886880
47 https://doi.org/10.1038/s41397-018-0036-2
48 schema:sdDatePublished 2019-04-11T14:28
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N792f191adeaa42158163d453666b69f9
51 schema:url https://www.nature.com/articles/s41397-018-0036-2
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N0f3f57e3fe1f45e499358f388d1516ba schema:affiliation https://www.grid.ac/institutes/grid.413106.1
56 schema:familyName Zhang
57 schema:givenName Xue
58 rdf:type schema:Person
59 N2b190b2bb8ed407d976c3e407e65d56b schema:name dimensions_id
60 schema:value pub.1105886880
61 rdf:type schema:PropertyValue
62 N2cecb0a49a9a4ad082bfc45e3d7b85f2 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
63 schema:familyName Wang
64 schema:givenName Zhifu
65 rdf:type schema:Person
66 N2e007eb305e0432aae013af1d8363ee8 schema:issueNumber 2
67 rdf:type schema:PublicationIssue
68 N3e7314fec7f0419fb2ba361a59c0b0ad rdf:first sg:person.011452605725.14
69 rdf:rest Ne8b48b4e331e44b9ad5597abef2f2b85
70 N458831bc91dc4bd1b6c69b36cae3d8ee rdf:first sg:person.016141405321.02
71 rdf:rest N3e7314fec7f0419fb2ba361a59c0b0ad
72 N544ef23d2a874b85aeb8a7169554fa1c rdf:first sg:person.07706440577.49
73 rdf:rest N809aa405a2304a56bbcdbb2dcc89d814
74 N771054efde85405c9b0ef1005af56a43 schema:name pubmed_id
75 schema:value 30061570
76 rdf:type schema:PropertyValue
77 N77761e5b5e3d4eaca929c4dca5ebf8f7 rdf:first sg:person.012407477645.55
78 rdf:rest Ned4509f5d14c4772b2dec6972ee61ea2
79 N792f191adeaa42158163d453666b69f9 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 N801c6cdb6c9d4054a9afbab920edb7f8 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
82 schema:familyName Liu
83 schema:givenName Zhaohui
84 rdf:type schema:Person
85 N809aa405a2304a56bbcdbb2dcc89d814 rdf:first sg:person.01312265044.75
86 rdf:rest rdf:nil
87 N872dd610cf1848b982175e4ec8f09d6d schema:volumeNumber 19
88 rdf:type schema:PublicationVolume
89 Na252e211615d42e6ab36682ea52750e9 rdf:first N801c6cdb6c9d4054a9afbab920edb7f8
90 rdf:rest N77761e5b5e3d4eaca929c4dca5ebf8f7
91 Nbcc36571a81044e5bd17366f4c39c9eb schema:name readcube_id
92 schema:value 9a30f9b59b5c469a53ce7a4dc961e0cb2ad4c6962d4bf22515960e7e246eb086
93 rdf:type schema:PropertyValue
94 Nd7a5e2c85ad7481c96c426a79e71eab8 schema:name nlm_unique_id
95 schema:value 101083949
96 rdf:type schema:PropertyValue
97 Ne24a3d3b650642869c59e7df48fac664 rdf:first N2cecb0a49a9a4ad082bfc45e3d7b85f2
98 rdf:rest Na252e211615d42e6ab36682ea52750e9
99 Ne8b48b4e331e44b9ad5597abef2f2b85 rdf:first N0f3f57e3fe1f45e499358f388d1516ba
100 rdf:rest N544ef23d2a874b85aeb8a7169554fa1c
101 Neb41af4679b14f7d8299c74652d779c4 schema:name doi
102 schema:value 10.1038/s41397-018-0036-2
103 rdf:type schema:PropertyValue
104 Ned4509f5d14c4772b2dec6972ee61ea2 rdf:first sg:person.01067270552.66
105 rdf:rest N458831bc91dc4bd1b6c69b36cae3d8ee
106 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
107 schema:name Medical and Health Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
110 schema:name Clinical Sciences
111 rdf:type schema:DefinedTerm
112 sg:journal.1027238 schema:issn 1470-269X
113 1473-1150
114 schema:name The Pharmacogenomics Journal
115 rdf:type schema:Periodical
116 sg:person.01067270552.66 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
117 schema:familyName Fu
118 schema:givenName Yuanyuan
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067270552.66
120 rdf:type schema:Person
121 sg:person.011452605725.14 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
122 schema:familyName Li
123 schema:givenName Wenke
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011452605725.14
125 rdf:type schema:Person
126 sg:person.012407477645.55 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
127 schema:familyName Wang
128 schema:givenName Wenyao
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012407477645.55
130 rdf:type schema:Person
131 sg:person.01312265044.75 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
132 schema:familyName Zhou
133 schema:givenName Zhou
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312265044.75
135 rdf:type schema:Person
136 sg:person.016141405321.02 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
137 schema:familyName Chen
138 schema:givenName Wen
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016141405321.02
140 rdf:type schema:Person
141 sg:person.07706440577.49 schema:affiliation https://www.grid.ac/institutes/grid.413106.1
142 schema:familyName Tang
143 schema:givenName Yida
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07706440577.49
145 rdf:type schema:Person
146 sg:pub.10.1007/s11096-017-0451-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085937637
147 https://doi.org/10.1007/s11096-017-0451-5
148 rdf:type schema:CreativeWork
149 sg:pub.10.1038/clpt.2011.127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003167365
150 https://doi.org/10.1038/clpt.2011.127
151 rdf:type schema:CreativeWork
152 https://app.dimensions.ai/details/publication/pub.1082587362 schema:CreativeWork
153 https://app.dimensions.ai/details/publication/pub.1082696445 schema:CreativeWork
154 https://doi.org/10.1001/jama.2016.8662 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005030771
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.ahj.2007.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043780805
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.ahj.2010.05.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029783601
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.ijcard.2016.04.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041130281
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.ijcard.2017.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084079634
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jacc.2006.10.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019843872
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.jacc.2012.11.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019916030
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.jacc.2013.07.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020743254
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.jacc.2015.01.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050187376
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.thromres.2013.06.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053037407
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/s0735-1097(02)02374-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006794097
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1056/nejm199408253310802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048330344
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1056/nejmc1013331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078341530
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1056/nejmoa0808227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048878357
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1056/nejmoa0809171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039584602
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1056/nejmoa1008410 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021336871
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1056/nejmoa1409312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051736615
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1097/hpc.0b013e3182846e16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007000617
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1111/cns.12426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024839902
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1136/bmj.d4588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007943098
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1161/circgenetics.114.000669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023066790
195 rdf:type schema:CreativeWork
196 https://doi.org/10.3109/00207454.2012.744308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017034290
197 rdf:type schema:CreativeWork
198 https://www.grid.ac/institutes/grid.413106.1 schema:alternateName Peking Union Medical College Hospital
199 schema:name Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People’s Republic of China
200 Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People’s Republic of China
201 State Key Laboratory of Cardiovascular Disease, Beijing Key Laboratory for Molecular Diagnostics of Cardiovascular Diseases, Diagnostic Laboratory Service, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, People’s Republic of China
202 rdf:type schema:Organization
 




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


...