The Association of Four Common Polymorphisms from Four Candidate Genes (COX-1, COX-2, ITGA2B, ITGA2) with Aspirin Insensitivity: A Meta-Analysis
Publication Date
November 14, 2013
Journal
PLOS ONE
Authors
Zhiyuan Weng, Xiaobo Li, Yuqiong Li, Jinxiu Lin, et al
Volume
8
Issue
11
Pages
e78093
DOI
https://dx.plos.org/10.1371/journal.pone.0078093
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0078093
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24244288
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828324
Europe PMC
http://europepmc.org/abstract/MED/24244288
Web of Science
000327143800005
Scopus
84893664451
Mendeley
http://www.mendeley.com/research/association-four-common-polymorphisms-four-candidate-genes-cox1-cox2-itga2b-itga2-aspirin-insensitiv
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Mendeley 1020 Apr 14:07 UTC

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{"title"=>"The association of four common polymorphisms from four candidate genes (COX-1, COX-2, ITGA2B, ITGA2) with aspirin insensitivity: A meta-analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Zhiyuan", "last_name"=>"Weng", "scopus_author_id"=>"55623530100"}, {"first_name"=>"Xiaobo", "last_name"=>"Li", "scopus_author_id"=>"55914369900"}, {"first_name"=>"Yuqiong", "last_name"=>"Li", "scopus_author_id"=>"55259022100"}, {"first_name"=>"Jinxiu", "last_name"=>"Lin", "scopus_author_id"=>"7501723127"}, {"first_name"=>"Feng", "last_name"=>"Peng", "scopus_author_id"=>"36114649700"}, {"first_name"=>"Wenquan", "last_name"=>"Niu", "scopus_author_id"=>"15045204900"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"24244288", "doi"=>"10.1371/journal.pone.0078093", "sgr"=>"84893664451", "scopus"=>"2-s2.0-84893664451", "issn"=>"19326203", "pui"=>"372334616"}, "id"=>"1c171a83-1442-3a29-8fb8-98b7f719c7e0", "abstract"=>"OBJECTIVE: Evidence is mounting suggesting that a strong genetic component underlies aspirin insensitivity. To generate more information, we aimed to evaluate the association of four common polymorphisms (rs3842787, rs20417, rs201184269, rs1126643) from four candidate genes (COX-1, COX-2, ITGA2B, ITGA2) with aspirin insensitivity via a meta-analysis.\\n\\nMETHODS AND RESULTS: In total, there were 4 (353/595), 6 (344/698), 10 (588/878) and 7 (209/676) articles (patients/controls) qualified for rs3842787, rs20417, rs20118426 and rs1126643, respectively. The data were extracted in duplicate and analyzed by STATA software (Version 11.2). The risk estimate was expressed as odds ratio (OR) and 95% confidence interval (95% CI). Analyses of the full data set indicated significant associations of rs20417 (OR; 95% CI; P: 1.86; 1.44-2.41; <0.0005) and rs1126643 (2.37; 1.44-3.89; 0.001) with aspirin insensitivity under allelic model. In subgroup analyses, the risk estimate for rs1126643 was greatly potentiated among patients with aspirin semi-resistance relative to those with aspirin resistance, especially under dominant model (aspirin semi-resistance: 5.44; 1.42-20.83; 0.013 versus aspirin resistance: 1.96; 1.07-3.6; 0.03). Further grouping articles by ethnicity observed a stronger prediction of all, but rs20417, examined polymorphisms for aspirin insensitivity in Chinese than in Caucasians. Finally, meta-regression analyses observed that the differences in percentage of coronary artery disease (P = 0.034) and averaged platelet numbers (P = 0.012) between two groups explained a large part of heterogeneity for rs20417 and rs1126643, respectively.\\n\\nCONCLUSION: Our findings provide strong evidence that COX-2 and ITGA2 genetic defects might increase the risk of having aspirin insensitivity, especially for aspirin semi-resistance and in Chinese populations.", "link"=>"http://www.mendeley.com/research/association-four-common-polymorphisms-four-candidate-genes-cox1-cox2-itga2b-itga2-aspirin-insensitiv", "reader_count"=>10, "reader_count_by_academic_status"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Other"=>1, "Student > Master"=>2, "Student > Bachelor"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>4, "Medicine and Dentistry"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "Poland"=>1}, "group_count"=>0}
Scopus 2313 Aug 12:15 UTC

Scopus | Further Information

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Figshare 4819 Apr 09:03 UTC

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1281415"], "description"=>"<div><p>Objective</p><p>Evidence is mounting suggesting that a strong genetic component underlies aspirin insensitivity. To generate more information, we aimed to evaluate the association of four common polymorphisms (rs3842787, rs20417, rs201184269, rs1126643) from four candidate genes (<i>COX-1</i>, <i>COX-2</i>, <i>ITGA2B</i>, <i>ITGA2</i>) with aspirin insensitivity via a meta-analysis.</p><p>Methods and Results</p><p>In total, there were 4 (353/595), 6 (344/698), 10 (588/878) and 7 (209/676) articles (patients/controls) qualified for rs3842787, rs20417, rs20118426 and rs1126643, respectively. The data were extracted in duplicate and analyzed by STATA software (Version 11.2). The risk estimate was expressed as odds ratio (OR) and 95% confidence interval (95% CI). Analyses of the full data set indicated significant associations of rs20417 (OR; 95% CI; P: 1.86; 1.44–2.41; <0.0005) and rs1126643 (2.37; 1.44–3.89; 0.001) with aspirin insensitivity under allelic model. In subgroup analyses, the risk estimate for rs1126643 was greatly potentiated among patients with aspirin semi-resistance relative to those with aspirin resistance, especially under dominant model (aspirin semi-resistance: 5.44; 1.42–20.83; 0.013 versus aspirin resistance: 1.96; 1.07–3.6; 0.03). Further grouping articles by ethnicity observed a stronger prediction of all, but rs20417, examined polymorphisms for aspirin insensitivity in Chinese than in Caucasians. Finally, meta-regression analyses observed that the differences in percentage of coronary artery disease (P = 0.034) and averaged platelet numbers (P = 0.012) between two groups explained a large part of heterogeneity for rs20417 and rs1126643, respectively.</p><p>Conclusion</p><p>Our findings provide strong evidence that <i>COX-2</i> and <i>ITGA2</i> genetic defects might increase the risk of having aspirin insensitivity, especially for aspirin semi-resistance and in Chinese populations.</p></div>", "links"=>[], "tags"=>["polymorphisms", "genes", "aspirin", "meta-analysis"], "article_id"=>851152, "categories"=>["Biological Sciences"], "users"=>["Zhiyuan Weng", "Xiaobo Li", "Yuqiong Li", "Jinxiu Lin", "Feng Peng", "Wenquan Niu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078093", "stats"=>{"downloads"=>8, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_Association_of_Four_Common_Polymorphisms_from_Four_Candidate_Genes_COX_1_COX_2_ITGA2B_ITGA2_with_Aspirin_Insensitivity_A_Meta_Analysis/851152", "title"=>"The Association of Four Common Polymorphisms from Four Candidate Genes (<i>COX-1</i>, <i>COX-2</i>, <i>ITGA2B</i>, <i>ITGA2</i>) with Aspirin Insensitivity: A Meta-Analysis", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-14 03:59:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1281412"], "description"=>"<p><i>Abbreviations:</i> OR, odds ratio; 95% CI, 95% confidence interval; AR, aspirin resistance; ASR, aspirin semi-resistance; HWE, Hardy-Weinberg equilibrium.</p>*<p>For rs20417, all qualified articles did not report comparisons with aspirin semi-resistance.</p>", "links"=>[], "tags"=>["subgroup", "examined", "polymorphism", "aspirin", "insensitivity", "allelic"], "article_id"=>851149, "categories"=>["Biological Sciences"], "users"=>["Zhiyuan Weng", "Xiaobo Li", "Yuqiong Li", "Jinxiu Lin", "Feng Peng", "Wenquan Niu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078093.t003", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overall_and_subgroup_analyses_of_four_examined_polymorphism_with_aspirin_insensitivity_under_both_allelic_and_dominant_models_/851149", "title"=>"Overall and subgroup analyses of four examined polymorphism with aspirin insensitivity under both allelic and dominant models.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-14 03:59:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1281413"], "description"=>"<p><i>Abbreviations:</i> Conts, controls; CAD, coronary artery disease; CVD, cerebrovascular disease; TC, total cholesterol; TG, triglyceride; LDLC, low-density lipoprotein cholesterol; HDLC, high-density lipoprotein cholesterol; NA, data not available.</p>", "links"=>[], "tags"=>["baseline"], "article_id"=>851150, "categories"=>["Biological Sciences"], "users"=>["Zhiyuan Weng", "Xiaobo Li", "Yuqiong Li", "Jinxiu Lin", "Feng Peng", "Wenquan Niu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078093.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_baseline_characteristics_of_the_study_populations_/851150", "title"=>"The baseline characteristics of the study populations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-14 03:59:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1281410"], "description"=>"<p>Flow diagram of search strategy and study selection.</p>", "links"=>[], "tags"=>["diagram"], "article_id"=>851147, "categories"=>["Biological Sciences"], "users"=>["Zhiyuan Weng", "Xiaobo Li", "Yuqiong Li", "Jinxiu Lin", "Feng Peng", "Wenquan Niu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078093.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Flow_diagram_of_search_strategy_and_study_selection_/851147", "title"=>"Flow diagram of search strategy and study selection.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-14 03:59:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1281411"], "description"=>"<p><i>Abbreviations:</i> Conts, controls; BMI, body mass index; NA, data not available.</p>", "links"=>[], "tags"=>["baseline", "qualified"], "article_id"=>851148, "categories"=>["Biological Sciences"], "users"=>["Zhiyuan Weng", "Xiaobo Li", "Yuqiong Li", "Jinxiu Lin", "Feng Peng", "Wenquan Niu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0078093.t001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_baseline_characteristics_of_all_qualified_articles_/851148", "title"=>"The baseline characteristics of all qualified articles.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-14 03:59:30"}
PMC Usage Stats 187617 Aug 16:44 UTC

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Relative Metric 10551510 May 17:03 UTC

Relative Metric

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