A Meta-analysis of Gene Expression Signatures of Blood Pressure and Hypertension
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"scopus_author_id"=>"57191328195"}, {"first_name"=>"Eric", "last_name"=>"Boerwinkle", "scopus_author_id"=>"57197790649"}, {"first_name"=>"Ramachandran S.", "last_name"=>"Vasan", "scopus_author_id"=>"57191421684"}, {"first_name"=>"Michael", "last_name"=>"Boehnke", "scopus_author_id"=>"7203022563"}, {"first_name"=>"Martin G.", "last_name"=>"Larson", "scopus_author_id"=>"57201006886"}, {"first_name"=>"Marjo Riitta", "last_name"=>"Järvelin", "scopus_author_id"=>"57195461245"}, {"first_name"=>"Bruce M.", "last_name"=>"Psaty", "scopus_author_id"=>"57024554000"}, {"first_name"=>"Gonçalo R.", "last_name"=>"Abecasis", "scopus_author_id"=>"57200610761"}, {"first_name"=>"Aravinda", "last_name"=>"Chakravarti", "scopus_author_id"=>"35355137200"}, {"first_name"=>"Paul", "last_name"=>"Elliott", "scopus_author_id"=>"57195913345"}, {"first_name"=>"Cornelia M.", "last_name"=>"van Duijn", "scopus_author_id"=>"57192111611"}, {"first_name"=>"Christopher", "last_name"=>"Newton-Cheh", "scopus_author_id"=>"56962776100"}, {"first_name"=>"Daniel", "last_name"=>"Levy", "scopus_author_id"=>"56882145300"}, {"first_name"=>"Mark J.", "last_name"=>"Caulfield", "scopus_author_id"=>"56978172000"}, {"first_name"=>"Toby", "last_name"=>"Johnson", "scopus_author_id"=>"7404019093"}], "year"=>2015, "source"=>"PLoS Genetics", "identifiers"=>{"scopus"=>"2-s2.0-84989801107", "sgr"=>"84989801107", "issn"=>"15537404", "doi"=>"10.1371/journal.pgen.1005035", "pmid"=>"25785607", "pui"=>"603513986"}, "id"=>"d09b38a8-17c0-3b2f-9f8d-1a1c3516f022", "abstract"=>"Genome-wide association studies (GWAS) have uncovered numerous genetic variants (SNPs) that are associated with blood pressure (BP). Genetic variants may lead to BP changes by acting on intermediate molecular phenotypes such as coded protein sequence or gene expression, which in turn affect BP variability. Therefore, characterizing genes whose expression is associated with BP may reveal cellular processes involved in BP regulation and uncover how transcripts mediate genetic and environmental effects on BP variability. A meta-analysis of results from six studies of global gene expression profiles of BP and hypertension in whole blood was performed in 7017 individuals who were not receiving antihypertensive drug treatment. We identified 34 genes that were differentially expressed in relation to BP (Bonferroni-corrected p<0.05). Among these genes, FOS and PTGS2 have been previously reported to be involved in BP-related processes; the others are novel. The top BP signature genes in aggregate explain 5%-9% of inter-individual variance in BP. Of note, rs3184504 in SH2B3, which was also reported in GWAS to be associated with BP, was found to be a trans regulator of the expression of 6 of the transcripts we found to be associated with BP (FOS, MYADM, PP1R15A, TAGAP, S100A10, and FGBP2). Gene set enrichment analysis suggested that the BP-related global gene expression changes include genes involved in inflammatory response and apoptosis pathways. Our study provides new insights into molecular mechanisms underlying BP regulation, and suggests novel transcriptomic markers for the treatment and prevention of hypertension.", "link"=>"http://www.mendeley.com/research/metaanalysis-gene-expression-signatures-blood-pressure-hypertension-6", "reader_count"=>72, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Researcher"=>19, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>2, "Other"=>3, "Student > Master"=>9, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>8}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Researcher"=>19, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>2, "Other"=>3, "Student > Master"=>9, "Student > Bachelor"=>9, "Lecturer"=>1, "Professor"=>8}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>15, "Medicine and Dentistry"=>25, "Agricultural and Biological Sciences"=>24, "Neuroscience"=>1, "Physics and Astronomy"=>1, "Chemistry"=>1, "Social Sciences"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>25}, "Neuroscience"=>{"Neuroscience"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>24}, "Computer Science"=>{"Computer Science"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>15}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"Uruguay"=>1, "United Kingdom"=>1, "France"=>1}, "group_count"=>3}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1958912", "https://ndownloader.figshare.com/files/1958913", "https://ndownloader.figshare.com/files/1958914", "https://ndownloader.figshare.com/files/1958915", "https://ndownloader.figshare.com/files/1958916", "https://ndownloader.figshare.com/files/1958917", "https://ndownloader.figshare.com/files/1958918", "https://ndownloader.figshare.com/files/1958919", "https://ndownloader.figshare.com/files/1958920", "https://ndownloader.figshare.com/files/1958921", "https://ndownloader.figshare.com/files/1958922"], "description"=>"<div><p>Genome-wide association studies (GWAS) have uncovered numerous genetic variants (SNPs) that are associated with blood pressure (BP). Genetic variants may lead to BP changes by acting on intermediate molecular phenotypes such as coded protein sequence or gene expression, which in turn affect BP variability. Therefore, characterizing genes whose expression is associated with BP may reveal cellular processes involved in BP regulation and uncover how transcripts mediate genetic and environmental effects on BP variability. A meta-analysis of results from six studies of global gene expression profiles of BP and hypertension in whole blood was performed in 7017 individuals who were not receiving antihypertensive drug treatment. We identified 34 genes that were differentially expressed in relation to BP (Bonferroni-corrected <i>p</i><0.05). Among these genes, <i>FOS</i> and <i>PTGS2</i> have been previously reported to be involved in BP-related processes; the others are novel. The top BP signature genes in aggregate explain 5%–9% of inter-individual variance in BP. Of note, rs3184504 in <i>SH2B3</i>, which was also reported in GWAS to be associated with BP, was found to be a trans regulator of the expression of 6 of the transcripts we found to be associated with BP (<i>FOS</i>, <i>MYADM</i>, <i>PP1R15A</i>, <i>TAGAP</i>, <i>S100A10</i>, and <i>FGBP2</i>). Gene set enrichment analysis suggested that the BP-related global gene expression changes include genes involved in inflammatory response and apoptosis pathways. Our study provides new insights into molecular mechanisms underlying BP regulation, and suggests novel transcriptomic markers for the treatment and prevention of hypertension.</p></div>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341548, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pgen.1005035.s001", "https://dx.doi.org/10.1371/journal.pgen.1005035.s002", "https://dx.doi.org/10.1371/journal.pgen.1005035.s003", "https://dx.doi.org/10.1371/journal.pgen.1005035.s004", "https://dx.doi.org/10.1371/journal.pgen.1005035.s005", "https://dx.doi.org/10.1371/journal.pgen.1005035.s006", "https://dx.doi.org/10.1371/journal.pgen.1005035.s007", "https://dx.doi.org/10.1371/journal.pgen.1005035.s008", "https://dx.doi.org/10.1371/journal.pgen.1005035.s009", "https://dx.doi.org/10.1371/journal.pgen.1005035.s010", "https://dx.doi.org/10.1371/journal.pgen.1005035.s011"], "stats"=>{"downloads"=>4, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_Meta_analysis_of_Gene_Expression_Signatures_of_Blood_Pressure_and_Hypertension_/1341548", "title"=>"A Meta-analysis of Gene Expression Signatures of Blood Pressure and Hypertension", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958906"], "description"=>"<p>*<b>NES</b>: normalized enrichment score;</p><p><b>GO-BP</b>: Gene ontology- biological process;</p><p><b>KEGG</b>: Kyoto encyclopedia of genes and genomes.</p><p>Gene set enrichment analysis for BP associated gene expression changes.</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341545, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.t003", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Gene_set_enrichment_analysis_for_BP_associated_gene_expression_changes_/1341545", "title"=>"Gene set enrichment analysis for BP associated gene expression changes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958904"], "description"=>"<p>Clinical characteristics of the study cohorts.</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341543, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.t001", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinical_characteristics_of_the_study_cohorts_/1341543", "title"=>"Clinical characteristics of the study cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958905"], "description"=>"<p>*<b>Meta</b>: meta-analysis of all six cohorts.</p><p>Differentially expressed genes associated with BP and hypertension at Bonferroni correction <i>p</i><0.05 in meta-analysis of the six cohorts.</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341544, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.t002", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differentially_expressed_genes_associated_with_BP_and_hypertension_at_Bonferroni_correction_p_/1341544", "title"=>"Differentially expressed genes associated with BP and hypertension at Bonferroni correction <i>p</i><0.05 in meta-analysis of the six cohorts.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958903"], "description"=>"<p>A) 2-Dimensional plot of in whole blood eQTLs vs. transcript position genome wide. eQTL-transcript pairs at FDR<0.1 are shown in black dots; those that fall along the diagonal are cis eQTLs and all others are trans eQTLS. eQTL-transcript pair SNPs that are associated with BP in GWAS [<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref003\" target=\"_blank\">3</a>] are highlighted with blue triangles. eQTL-transcript pair genes that are BP signature genes from analysis of differential gene expression in relation to BP are depicted by red circles. B) Regional association plots for rs3184504 proxy QTLs that showing association with BP in ICBP GWAS [<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref003\" target=\"_blank\">3</a>]. −log10(p) indicated the −log10 transformed DBP association <i>p</i> values in ICBP GWAS [<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref003\" target=\"_blank\">3</a>]. Color coding indicates the strength (measured by r<sup>2</sup>) of LD of each SNP with the top SNP (rs3184504). Five master <i>trans-</i>eQTLs (also BP GWAS SNPs) for BP signature genes are labeled in the figure. This figure was drawn by LocusZoom [<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref032\" target=\"_blank\">32</a>].</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341542, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.g002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Global_view_of_BP_eQTLs_effects_on_differentially_expressed_BP_signature_genes_/1341542", "title"=>"Global view of BP eQTLs effects on differentially expressed BP signature genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958907"], "description"=>"<p>* rs653178, intronic to <i>ATXN2</i> and in tight linkage disequilibrium with rs3184504 (r<sup>2</sup> = 1), was also associated with BP in ICBP GWAS and all the 6 genes;</p><p><sup>+</sup> A proxy SNP rs4698412 at LD r<sup>2</sup> = 1 associated with the same trait;</p><p>$ A proxy SNP rs4389526 at LD r<sup>2</sup> = 1 associated with the same trait;</p><p><sup>§</sup> indicated eQTL were identified from[<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref012\" target=\"_blank\">12</a>].</p><p><sup>&</sup> highlighted p values indicated passing transcriptome-wide significance at Bonferroni corrected <i>p</i><0</p><p>GWAS eQTLs for the top differentially expressed BP signature genes.</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341546, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.t004", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GWAS_eQTLs_for_the_top_differentially_expressed_BP_signature_genes_/1341546", "title"=>"GWAS eQTLs for the top differentially expressed BP signature genes.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-03-18 04:59:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/1958902"], "description"=>"<p>A) SBP; B) DBP; C) HTN. The x-axis is the effect size of the differentially expressed genes in the FHS cohort and the y-axis is the effect size in the Illumina cohorts. The BP signature genes identified both in the FHS and the Illumina cohorts at <i>p</i><0.05 (Bonferroni corrected) are highlighted. <i>pi1</i> values indicate the proportion of significant signals among the tested associations [<a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#pgen.1005035.ref011\" target=\"_blank\">11</a>] (See details in the <a href=\"http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005035#sec009\" target=\"_blank\">Methods</a> section).</p>", "links"=>[], "tags"=>["BP signature genes", "2b", "snp", "GWAS", "BP variability", "100A", "ptgs", "MYADM", "gene expression changes", "gene expression profiles", "fos", "novel transcriptomic markers", "antihypertensive drug treatment", "sh", "BP regulation", "PP 1R TAGAP", "gene expression signatures", "FGBP"], "article_id"=>1341541, "categories"=>["Biological Sciences"], "users"=>["Tianxiao Huan", "Tõnu Esko", "Marjolein J. Peters", "Luke C. Pilling", "Katharina Schramm", "Claudia Schurmann", "Brian H. Chen", "Chunyu Liu", "Roby Joehanes", "Andrew D. Johnson", "Chen Yao", "Sai-xia Ying", "Paul Courchesne", "Lili Milani", "Nalini Raghavachari", "Richard Wang", "Poching Liu", "Eva Reinmaa", "Abbas Dehghan", "Albert Hofman", "Andre G. Uitterlinden", "Dena G. Hernandez", "Stefania Bandinelli", "Andrew Singleton", "David Melzer", "Andres Metspalu", "Maren Carstensen", "Harald Grallert", "Christian Herder", "Thomas Meitinger", "Annette Peters", "Michael Roden", "Melanie Waldenberger", "Marcus Dörr", "Stephan B. Felix", "Tanja Zeller", "Ramachandran Vasan", "Christopher J. O'Donnell", "Peter J. Munson", "Xia Yang", "Holger Prokisch", "Uwe Völker", "Joyce B. J. van Meurs", "Luigi Ferrucci", "Daniel Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.1005035.g001", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_size_of_differentially_expressed_BP_genes_in_the_Framingham_Heart_Study_and_the_Illumina_cohorts_/1341541", "title"=>"Effect size of differentially expressed BP genes in the Framingham Heart Study and the Illumina cohorts.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-03-18 04:59:52"}

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  • {"unique-ip"=>"32", "full-text"=>"43", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"31", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"24", "full-text"=>"49", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"26", "full-text"=>"40", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"24", "full-text"=>"32", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"24", "full-text"=>"31", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"11", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"33", "full-text"=>"40", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"26", "full-text"=>"29", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"22", "full-text"=>"37", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"19", "full-text"=>"25", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"20", "full-text"=>"28", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"27", "full-text"=>"28", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"20", "full-text"=>"20", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"16", "full-text"=>"21", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"34", "full-text"=>"37", "pdf"=>"10", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"15", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"25", "full-text"=>"38", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"26", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"34", "full-text"=>"47", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"13", "full-text"=>"15", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"16", "full-text"=>"22", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"22", "full-text"=>"24", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"11", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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