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} </style> <div class="fluid-row" id="header"> <h1 class="title toc-ignore">Enrichment results of fasting glucose</h1> <h4 class="author"><em>Xiang Zhu</em></h4> <h4 class="date"><em>2017-04-12</em></h4> </div> <p><strong>Last updated:</strong> 2018-10-05</p> <strong>workflowr checks:</strong> <small>(Click a bullet for more information)</small> <ul> <li> <details> <p><summary> <strong style="color:blue;">✔</strong> <strong>R Markdown file:</strong> up-to-date </summary></p> <p>Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.</p> </details> </li> <li> <details> <p><summary> <strong style="color:blue;">✔</strong> <strong>Environment:</strong> empty </summary></p> <p>Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.</p> </details> </li> <li> <details> <p><summary> <strong style="color:blue;">✔</strong> <strong>Seed:</strong> <code>set.seed(20180626)</code> </summary></p> <p>The command <code>set.seed(20180626)</code> was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.</p> </details> </li> <li> <details> <p><summary> <strong style="color:blue;">✔</strong> <strong>Session information:</strong> recorded </summary></p> <p>Great job! Recording the operating system, R version, and package versions is critical for reproducibility.</p> </details> </li> <li> <details> <p><summary> <strong style="color:blue;">✔</strong> <strong>Repository version:</strong> <a href="https://github.com/xiangzhu/rss-gsea/tree/733308254bb7c84e59accb5a9243bddac34c6e2e" target="_blank">7333082</a> </summary></p> Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated. <br><br> Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use <code>wflow_publish</code> or <code>wflow_git_commit</code>). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated: <pre><code> Ignored files: Ignored: .Rhistory Ignored: .Rproj.user/ </code></pre> Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes. </details> </li> </ul> <details> <summary> <small><strong>Expand here to see past versions:</strong></small> </summary> <ul> <table style="border-collapse:separate; border-spacing:5px;"> <thead> <tr> <th style="text-align:left;"> File </th> <th style="text-align:left;"> Version </th> <th style="text-align:left;"> Author </th> <th style="text-align:left;"> Date </th> <th style="text-align:left;"> Message </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> html </td> <td style="text-align:left;"> <a href="https://cdn.rawgit.com/xiangzhu/rss-gsea/db400a9bd1e4f58d666863d8f6560eaa6c586819/docs/fg_2012.html" target="_blank">db400a9</a> </td> <td style="text-align:left;"> Xiang Zhu </td> <td style="text-align:left;"> 2018-07-02 </td> <td style="text-align:left;"> Build site. </td> </tr> <tr> <td style="text-align:left;"> Rmd </td> <td style="text-align:left;"> <a href="https://github.com/xiangzhu/rss-gsea/blob/34f014ee2526758bd596af0d6d818f642d70d688/analysis/fg_2012.Rmd" target="_blank">34f014e</a> </td> <td style="text-align:left;"> Xiang Zhu </td> <td style="text-align:left;"> 2018-07-02 </td> <td style="text-align:left;"> wflow_publish(“fg_2012.Rmd”) </td> </tr> </tbody> </table> </ul> </details> <hr /> <div id="input-data" class="section level2"> <h2>Input data</h2> <p>Results below were generated from the GWAS summary statistics published in the paper <a href="https://www.ncbi.nlm.nih.gov/pubmed/22581228">“A Genome-Wide Approach Accounting for Body Mass Index Identifies Genetic Variants Influencing Fasting Glycemic Traits and Insulin Resistance” (<em>Nature Genetics</em>, 2012)</a>. The summary data file is available at <a href="http://www.magicinvestigators.org/downloads" class="uri">http://www.magicinvestigators.org/downloads</a>.</p> </div> <div id="analysis-results" class="section level2"> <h2>Analysis results</h2> <p>Enrichment analyses are summarized by the following three quantities.</p> <ul> <li><strong>BF:</strong> Bayes factor comparing the enrichment model against the baseline model;</li> <li><strong>Outside <span class="math inline">\(\pi\)</span>:</strong> proportion of trait-associated SNPs that are “outside” the gene set;</li> <li><strong>Inside <span class="math inline">\(\pi\)</span>:</strong> proportion of trait-associated SNPs that are “inside” the gene set.</li> </ul> <p>The first quantity reflects the significance of enrichment, whereas the last two capture the magnitude of enrichment. For each gene set, we report these three quantities in the last three columns of tables below, on log 10 scale.</p> <div id="biological-pathways" class="section level3"> <h3>Biological pathways</h3> <div id="htmlwidget-983860bb2d7d6ad3a872" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-983860bb2d7d6ad3a872">{"x":{"filter":"none","data":[["Hexose transport<br/>(reactome, BioSystems)","Glucose transport<br/>(reactome, PC)","Carbohydrate digestion and absorption<br/>(kegg, BioSystems)","gluconeogenesis<br/>(biocyc, BioSystems)","SLC-mediated transmembrane transport<br/>(reactome, BioSystems)","M Phase<br/>(reactome, BioSystems)","Galactose metabolism<br/>(kegg, BioSystems)","eNOS activation and regulation<br/>(reactome, BioSystems)","Resolution of Sister Chromatid Cohesion<br/>(reactome, PC)","Drug Induction of Bile Acid Pathway<br/>(wiki, BioSystems)","Mitotic Anaphase<br/>(reactome, PC)","Hexose uptake<br/>(reactome, PC)","NOSTRIN mediated eNOS trafficking<br/>(reactome, PC)","Recycling of bile acids and salts<br/>(reactome, PC)","Mitotic Prometaphase<br/>(reactome, BioSystems)","ABC transporters<br/>(kegg, BioSystems)","Glycolysis /...<br/>(kegg, PC)","glycogenolysis<br/>(humancyc, PC)","Mitotic Metaphase and Anaphase<br/>(reactome, PC)","Bile acid and bile salt metabolism<br/>(reactome, BioSystems)","Metabolism of nitric oxide<br/>(reactome, PC)","Recycling of bile acids and salts<br/>(reactome, BioSystems)","Multi-Drug Resistance Factors<br/>(biocarta, BioCarta)","Separation of Sister Chromatids<br/>(reactome, PC)","Separation of Sister Chromatids<br/>(reactome, BioSystems)","Galactose metabolism<br/>(kegg, PC)","Mitotic Prometaphase<br/>(reactome, PC)","Starch and sucrose metabolism<br/>(kegg, BioSystems)","Synthesis of bile acids and bile salts via 7alpha-hydroxycholesterol<br/>(reactome, PC)","Bile acid and bile salt metabolism<br/>(reactome, PC)","Glucose transport<br/>(reactome, BioSystems)","Resolution of Sister Chromatid Cohesion<br/>(reactome, BioSystems)","RHO GTPases Activate Formins<br/>(reactome, BioSystems)","Mitotic Anaphase<br/>(reactome, BioSystems)","SLC-mediated transmembrane transport<br/>(reactome, PC)","M Phase<br/>(reactome, PC)","Signaling by Rho GTPases<br/>(reactome, BioSystems)","Synthesis of bile acids and bile salts<br/>(reactome, PC)","Nuclear Receptors in Lipid Metabolism and Toxicity<br/>(biocarta, BioCarta)","Bile secretion<br/>(kegg, BioSystems)","Nuclear receptors in lipid metabolism and toxicity<br/>(wiki, BioSystems)","Carbohydrate metabolism<br/>(reactome, PC)","Metabolism of carbohydrates<br/>(reactome, BioSystems)","Starch and sucrose...<br/>(kegg, PC)","Insulin signaling pathway<br/>(kegg, BioSystems)","gluconeogenesis<br/>(humancyc, PC)","Glycolysis / Gluconeogenesis<br/>(kegg, BioSystems)","Adipocytokine signaling pathway<br/>(kegg, BioSystems)","Cell Cycle, Mitotic<br/>(reactome, BioSystems)","FoxO signaling pathway<br/>(kegg, BioSystems)","PI3K-Akt signaling pathway<br/>(kegg, BioSystems)","AMPK signaling pathway<br/>(kegg, BioSystems)","Insulin secretion<br/>(kegg, BioSystems)","Regulation of beta-cell development<br/>(reactome, PC)","Maturity onset diabetes of the young<br/>(kegg, BioSystems)","Regulation of gene expression in beta cells<br/>(reactome, PC)","Central carbon metabolism in cancer<br/>(kegg, BioSystems)","Activation of cAMP-dependent protein kinase, PKA<br/>(biocarta, BioCarta)","Mitotic Metaphase and Anaphase<br/>(reactome, BioSystems)","Lactose synthesis<br/>(reactome, BioSystems)","Regulation of gene expression in endocrine-committed (NEUROG3+) progenitor cells<br/>(reactome, PC)","Regulation of Glucokinase by Glucokinase Regulatory Protein<br/>(reactome, BioSystems)","RHO GTPase Effectors<br/>(reactome, BioSystems)","Facilitative Na+-independent glucose transporters<br/>(reactome, BioSystems)","Mitotic M-M/G1 phases<br/>(reactome, PC)","Glucagon signaling pathway<br/>(kegg, BioSystems)","Cell Cycle, Mitotic<br/>(reactome, PC)","Validated targets of C-MYC transcriptional activation<br/>(pid, PC)","Validated targets of C-MYC transcriptional activation<br/>(pid, BioSystems)","Transport of glucose and other sugars, bile salts and organic acids, metal ions and amine compounds<br/>(reactome, BioSystems)","Glycolysis and Gluconeogenesis<br/>(wiki, BioSystems)","Regulation of Glucokinase by Glucokinase Regulatory Protein<br/>(reactome, PC)","HIF-1 signaling pathway<br/>(kegg, BioSystems)","Regulation of insulin secretion<br/>(reactome, BioSystems)","Integration of energy metabolism<br/>(reactome, BioSystems)","Integration of energy metabolism<br/>(reactome, PC)","Regulation of insulin secretion<br/>(reactome, PC)","HIF-1-alpha transcription factor network<br/>(pid, PC)","IL-3 Signaling Pathway<br/>(wiki, BioSystems)","HIF-1-alpha transcription factor network<br/>(pid, BioSystems)","cAMP signaling<br/>(kegg, BioSystems)","Transcriptional 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BioCarta)","Serotonin Receptor 4/6/7 and NR3C Signaling<br/>(wiki, BioSystems)","Attenuation of GPCR Signaling<br/>(biocarta, BioCarta)","Thyroid hormone signaling pathway<br/>(kegg, 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-3.2139]","-4.1665<br/>[-4.2481, -4.1146]","-4.3387<br/>[-5.3379, -4.0089]","-4.3387<br/>[-5.3379, -4.0089]","-6.0838<br/>[-6.9892, -5.6092]","-6.6139<br/>[-7.1959, -6.2525]","-6.4969<br/>[-7.3751, -6.0298]","-6.1462<br/>[-7.3086, -5.5980]","-6.6045<br/>[-7.3810, -6.1649]","-5.0352<br/>[-6.8414, -4.3676]","-6.4217<br/>[-7.4458, -5.8987]","-5.5511<br/>[-7.2702, -4.8750]","-5.6813<br/>[-7.3328, -5.0228]","-4.9778<br/>[-6.5213, -4.3722]","-5.4943<br/>[-7.2872, -4.7929]","-5.5833<br/>[-7.4361, -4.8845]","-4.7971<br/>[-6.4837, -4.1561]","-5.4540<br/>[-7.4335, -4.7472]","-5.2613<br/>[-7.3774, -4.5783]","-5.6958<br/>[-7.0284, -5.0694]"]],"container":"<table class=\"white-space: nowrap\">\n <thead>\n <tr>\n <th>Pathway name<br/>(database, repository)<\/th>\n <th># of genes<\/th>\n <th># of SNPs<\/th>\n <th>Log10 BF<\/th>\n <th>Log10 outside π<br/>(mean, 95% CI)<\/th>\n <th>Log10 inside π<br/>(mean, 95% CI)<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"className":"dt-right","targets":[1,2,3]}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data) {\nDTWidget.formatRound(this, row, data, 3, 3, 3, ',', '.');\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script> </div> <div id="tissue-highly-expressed-genes" class="section level3"> <h3>Tissue highly expressed genes</h3> <div id="htmlwidget-0aaad034f4771159c3b9" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-0aaad034f4771159c3b9">{"x":{"filter":"none","data":[["Artery - Tibial","Artery - Coronary","Artery - Aorta","Spleen","Small Intestine - Terminal Ileum","Lung","Cells - EBV-transformed lymphocytes","Colon - Transverse","Pancreas","Breast - Mammary Tissue","Nerve - Tibial","Brain - Cerebellum","Prostate","Adipose - Subcutaneous","Adrenal Gland","Esophagus - Mucosa","Brain - Cerebellar Hemisphere","Uterus","Vagina","Adipose - Visceral (Omentum)","Brain - Hippocampus","Brain - Cortex","Skin - Sun Exposed (Lower leg)","Esophagus - Gastroesophageal Junction","Ovary","Skin - Not Sun Exposed (Suprapubic)","Pituitary","Muscle - Skeletal","Brain - Hypothalamus","Brain - Anterior cingulate cortex (BA24)","Colon - Sigmoid","Esophagus - Muscularis","Cells - Transformed fibroblasts","Brain - Nucleus accumbens (basal ganglia)","Brain - Frontal Cortex (BA9)","Thyroid","Brain - Caudate (basal ganglia)","Brain - Putamen (basal ganglia)","Stomach","Liver","Testis","Heart - Left Ventricle","Heart - Atrial Appendage","Whole Blood"],[6427,6564,6723,4312,5041,5349,5286,5591,5483,5971,6081,6060,5971,5999,6011,5984,6015,6057,6192,6250,6104,6226,6119,6159,6270,6192,6260,6038,6230,6304,6266,6358,6488,6488,6583,6553,6892,6969,5622,6705,6261,5958,6207,6265],[692.028257548677,691.977941221849,691.884814712882,690.576724327129,690.234080886651,690.096557006595,690.045743593701,689.9640573283,689.963218346045,689.797147729906,689.785908165876,689.767045010941,689.767029415765,689.765605770467,689.754135669849,689.742504772684,689.742386486844,689.737570621506,689.710825275857,689.697691479682,689.687310236015,689.681702817829,689.675200983401,689.662470891742,689.658737970102,689.653989335984,689.650373024546,689.642594192359,689.637020290694,689.615015324361,689.598703367909,689.582519311132,689.537536051396,689.50983704749,689.500082509252,689.487784254997,689.371970698877,689.298905213313,677.257272461302,534.240131009162,292.014004521002,7.01530114805197,6.94340457703642,1.376045364021],["-4.4381<br/>[-4.4381, -4.4381]","-4.4381<br/>[-4.4381, -4.4381]","-4.4380<br/>[-4.4380, -4.4380]","-4.4180<br/>[-4.4180, -4.4180]","-4.4177<br/>[-4.4177, -4.4177]","-4.4176<br/>[-4.4176, -4.4176]","-4.4176<br/>[-4.4176, -4.4176]","-4.4175<br/>[-4.4175, -4.4175]","-4.4175<br/>[-4.4175, -4.4175]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4172<br/>[-4.4172, -4.4172]","-4.4173<br/>[-4.4173, -4.4173]","-4.4172<br/>[-4.4172, -4.4172]","-4.4173<br/>[-4.4173, -4.4173]","-4.4173<br/>[-4.4173, -4.4173]","-4.4172<br/>[-4.4172, -4.4172]","-4.4173<br/>[-4.4173, -4.4173]","-4.4172<br/>[-4.4172, -4.4172]","-4.4173<br/>[-4.4173, -4.4173]","-4.4172<br/>[-4.4172, -4.4172]","-4.4172<br/>[-4.4172, -4.4172]","-4.4172<br/>[-4.4172, 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-3.0796]","-3.0830<br/>[-3.0831, -3.0828]","-3.0925<br/>[-3.0926, -3.0923]","-3.0966<br/>[-3.0967, -3.0964]","-3.0863<br/>[-3.0864, -3.0861]","-3.0947<br/>[-3.0949, -3.0944]","-3.0874<br/>[-3.0875, -3.0871]","-3.0902<br/>[-3.0903, -3.0900]","-3.0979<br/>[-3.0980, -3.0977]","-3.0925<br/>[-3.0926, -3.0923]","-3.0972<br/>[-3.0973, -3.0970]","-3.0815<br/>[-3.0816, -3.0812]","-3.0951<br/>[-3.0952, -3.0949]","-3.1002<br/>[-3.1003, -3.0999]","-3.0977<br/>[-3.0978, -3.0975]","-3.1040<br/>[-3.1041, -3.1038]","-3.1128<br/>[-3.1129, -3.1126]","-3.1128<br/>[-3.1129, -3.1126]","-3.1189<br/>[-3.1191, -3.1186]","-3.1172<br/>[-3.1173, -3.1170]","-3.1390<br/>[-3.1391, -3.1388]","-3.1438<br/>[-3.1440, -3.1436]","-3.0478<br/>[-3.0478, -3.0476]","-3.5248<br/>[-3.5253, -3.5240]","-2.9272<br/>[-2.9272, -2.9264]","-3.1953<br/>[-3.2806, -3.0958]","-3.2183<br/>[-3.2994, -3.1244]","-3.6396<br/>[-3.8331, -3.4640]"]],"container":"<table class=\"white-space: nowrap\">\n <thead>\n <tr>\n <th>Tissue name<\/th>\n <th># of SNPs<\/th>\n <th>Log10 BF<\/th>\n <th>Log10 outside π<br/>(mean, 95% CI)<\/th>\n <th>Log10 inside π<br/>(mean, 95% CI)<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"className":"dt-right","targets":[1,2]}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data) {\nDTWidget.formatRound(this, row, data, 2, 3, 3, ',', '.');\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script> </div> <div id="tissue-selectively-expressed-genes" class="section level3"> <h3>Tissue selectively expressed genes</h3> <div id="htmlwidget-9dd0ac780160f191cf9f" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-9dd0ac780160f191cf9f">{"x":{"filter":"none","data":[["Pancreas","Nerve_Tibial","Adipose_Subcutaneous","Colon_Transverse","Small_Intestine_Terminal_Ileum","Testis","Esophagus_Gastroesophageal_Junction","Esophagus_Muscularis","Brain_Caudate_(basal_ganglia)","Liver","Brain_Putamen_(basal_ganglia)","Pituitary","Artery_Coronary","Cells_Transformed_fibroblasts","Adrenal_Gland","Brain_Cerebellum","Whole_Blood","Spleen","Brain_Cerebellar_Hemisphere","Lung","Heart_Left_Ventricle","Heart_Atrial_Appendage","Stomach","Artery_Aorta","Brain_Spinal_cord_(cervical_c-1)","Muscle_Skeletal","Ovary","Uterus","Skin_Sun_Exposed_(Lower_leg)","Skin_Not_Sun_Exposed_(Suprapubic)","Vagina","Esophagus_Mucosa","Cells_EBV-transformed_lymphocytes","Minor_Salivary_Gland","Prostate","Kidney_Cortex","Adipose_Visceral_(Omentum)","Breast_Mammary_Tissue","Thyroid","Colon_Sigmoid","Brain_Hippocampus","Brain_Amygdala","Brain_Nucleus_accumbens_(basal_ganglia)","Brain_Cortex","Brain_Hypothalamus","Artery_Tibial","Brain_Substantia_nigra","Brain_Anterior_cingulate_cortex_(BA24)","Brain_Frontal_Cortex_(BA9)"],[8049,12991,10590,7975,9206,8188,14644,14813,12286,8581,12328,10043,12911,11213,12843,11394,7582,7631,14051,8812,11566,11642,9782,14917,13265,9069,12158,13051,7183,7260,7194,7271,8216,8945,9562,9460,10331,10321,12524,11407,11526,11765,11897,12558,12724,13070,13248,13644,14308],[2396.80780825469,1746.3923570272,1192.43326050561,807.701032803462,807.477376798116,758.853537704687,632.979637667092,632.532327759626,631.699463310025,534.039847618159,505.60844999472,324.710560288479,280.538375845117,185.135390173817,147.305520042619,124.955211277665,107.873713726961,99.7169582604406,97.6660778955263,30.8618779189198,10.3191585595917,5.98271848548219,4.5363606142724,3.15042963454891,-0.125596780285934,-0.137515764093574,-0.213892127310824,-0.231430921118576,-0.412600886735522,-0.413848714228055,-0.414208634918258,-0.41530839846704,-0.427442925629199,-0.429620050138592,-0.437263461683205,-0.439969014225794,-0.4480446016382,-0.4496194659372,-0.455075673018383,-0.45782566731469,-0.461009837774964,-0.462784727223381,-0.463920290853059,-0.469313875213965,-0.470933477304266,-0.473854012507256,-0.47556853542568,-0.478547124001553,-0.483851145125581],["-4.7154<br/>[-4.7154, -4.7154]","-4.4146<br/>[-4.4146, -4.4146]","-4.6557<br/>[-4.6557, -4.6557]","-4.4174<br/>[-4.4174, -4.4174]","-4.4170<br/>[-4.4170, -4.4170]","-4.4483<br/>[-4.4483, -4.4483]","-4.4353<br/>[-4.4353, -4.4353]","-4.4348<br/>[-4.4348, -4.4348]","-4.4358<br/>[-4.4358, -4.4358]","-4.4163<br/>[-4.4163, -4.4163]","-4.4357<br/>[-4.4357, -4.4357]","-4.4475<br/>[-4.4475, -4.4475]","-4.4576<br/>[-4.4576, -4.4576]","-4.4153<br/>[-4.4153, -4.4153]","-4.4356<br/>[-4.4356, -4.4356]","-4.4152<br/>[-4.4152, -4.4152]","-4.4254<br/>[-4.4254, -4.4254]","-4.4167<br/>[-4.4167, -4.4167]","-4.4142<br/>[-4.4142, -4.4142]","-4.4162<br/>[-4.4162, -4.4162]","-4.4453<br/>[-4.4453, -4.4453]","-4.4452<br/>[-4.4452, -4.4452]","-4.4212<br/>[-4.4212, -4.4212]","-4.4348<br/>[-4.4348, -4.4348]","-4.4145<br/>[-4.4145, -4.4145]","-4.4161<br/>[-4.4161, -4.4161]","-4.4149<br/>[-4.4149, -4.4149]","-4.4146<br/>[-4.4146, -4.4146]","-4.4169<br/>[-4.4169, -4.4169]","-4.4168<br/>[-4.4168, -4.4168]","-4.4169<br/>[-4.4169, -4.4169]","-4.4168<br/>[-4.4168, -4.4168]","-4.4165<br/>[-4.4165, -4.4165]","-4.4162<br/>[-4.4162, -4.4162]","-4.4159<br/>[-4.4159, -4.4159]","-4.4160<br/>[-4.4160, -4.4160]","-4.4156<br/>[-4.4156, -4.4156]","-4.4156<br/>[-4.4156, -4.4156]","-4.4148<br/>[-4.4148, -4.4148]","-4.4152<br/>[-4.4152, -4.4152]","-4.4152<br/>[-4.4152, -4.4152]","-4.4151<br/>[-4.4151, -4.4151]","-4.4150<br/>[-4.4150, -4.4150]","-4.4148<br/>[-4.4148, -4.4148]","-4.4147<br/>[-4.4147, -4.4147]","-4.4146<br/>[-4.4146, -4.4146]","-4.4145<br/>[-4.4145, -4.4145]","-4.4143<br/>[-4.4143, -4.4143]","-4.4141<br/>[-4.4141, -4.4141]"],["-2.3615<br/>[-2.3615, -2.3615]","-2.9111<br/>[-2.9111, -2.9111]","-2.5929<br/>[-2.5930, -2.5929]","-3.2994<br/>[-3.2996, -3.2991]","-3.3617<br/>[-3.3619, -3.3614]","-3.2130<br/>[-3.2139, -3.2120]","-3.0615<br/>[-3.0682, -3.0569]","-3.0905<br/>[-3.0910, -3.0900]","-3.0091<br/>[-3.0101, -3.0085]","-3.6320<br/>[-3.6324, -3.6314]","-3.0106<br/>[-3.0111, -3.0097]","-3.1555<br/>[-3.1558, -3.1554]","-3.4117<br/>[-3.4119, -3.4115]","-3.3300<br/>[-3.3300, -3.3295]","-3.5063<br/>[-3.5065, -3.5060]","-2.0328<br/>[-2.0328, -2.0328]","-1.9803<br/>[-1.9803, -1.9803]","-1.9891<br/>[-1.9891, -1.9891]","-2.0259<br/>[-2.0259, -2.0259]","-1.9162<br/>[-1.9162, -1.9162]","-3.3997<br/>[-3.4515, -3.3407]","-3.5358<br/>[-3.5821, -3.4748]","-3.6459<br/>[-3.6858, -3.5872]","-3.8218<br/>[-3.8705, -3.7562]","-4.3337<br/>[-5.4018, -4.0747]","-4.2191<br/>[-5.5144, -3.9133]","-4.3901<br/>[-5.5314, -4.0458]","-4.4291<br/>[-5.5610, -4.0692]","-5.8014<br/>[-7.4454, -5.1338]","-5.8288<br/>[-7.4676, -5.1856]","-5.9641<br/>[-7.6058, -5.3197]","-5.9809<br/>[-7.6180, -5.3310]","-6.0858<br/>[-7.6808, -5.4419]","-5.6535<br/>[-7.1080, -5.0154]","-5.7153<br/>[-7.2034, -5.0635]","-5.9713<br/>[-7.5085, -5.3325]","-5.9249<br/>[-7.4438, -5.2836]","-6.1018<br/>[-7.6155, -5.4524]","-5.4485<br/>[-6.9131, -4.7840]","-5.9339<br/>[-7.4144, -5.2812]","-6.1452<br/>[-7.6284, -5.5104]","-6.1078<br/>[-7.5861, -5.4660]","-6.1083<br/>[-7.5825, -5.4618]","-6.0958<br/>[-7.5538, -5.4583]","-6.1258<br/>[-7.5783, -5.4815]","-6.1438<br/>[-7.5891, -5.5181]","-6.1806<br/>[-7.6179, -5.5480]","-6.1695<br/>[-7.5983, -5.5252]","-6.2067<br/>[-7.6198, -5.5720]"]],"container":"<table class=\"white-space: nowrap\">\n <thead>\n <tr>\n <th>Tissue name<\/th>\n <th># of SNPs<\/th>\n <th>Log10 BF<\/th>\n <th>Log10 outside π<br/>(mean, 95% CI)<\/th>\n <th>Log10 inside π<br/>(mean, 95% CI)<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"className":"dt-right","targets":[1,2]}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data) {\nDTWidget.formatRound(this, row, data, 2, 3, 3, ',', '.');\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script> </div> <div id="cluster-distinctively-expressed-genes" class="section level3"> <h3>Cluster distinctively expressed genes</h3> <div id="htmlwidget-798b325e8770e69abc2e" style="width:100%;height:auto;" class="datatables html-widget"></div> <script type="application/json" data-for="htmlwidget-798b325e8770e69abc2e">{"x":{"filter":"none","data":[["11","20","8","13","10","7","2","1","14","5","17","9","4","19","12","18","15","6","3","16"],[10805,8521,10547,7915,8809,8610,9326,7787,9748,11872,8920,9916,12796,6176,7539,7654,8110,9259,10492,10617],[1658.63652000691,534.055370218329,170.366833898067,158.978971625693,148.671960535662,130.619592572912,99.0398025943116,26.9384555637681,6.29421228266856,3.38625805976331,2.53417894181975,2.34265810831986,0.0261470471532334,-0.395558563048842,-0.408402890159809,-0.41538732283637,-0.421437149910261,-0.432677725736911,-0.44678752478931,-0.447280945128102],["-4.4258<br/>[-4.4258, -4.4258]","-4.4163<br/>[-4.4163, -4.4163]","-4.4156<br/>[-4.4156, -4.4156]","-4.4376<br/>[-4.4376, -4.4376]","-4.4458<br/>[-4.4458, -4.4458]","-4.4163<br/>[-4.4163, -4.4163]","-4.4370<br/>[-4.4370, -4.4370]","-4.4166<br/>[-4.4166, -4.4166]","-4.4460<br/>[-4.4460, -4.4460]","-4.4360<br/>[-4.4360, -4.4360]","-4.4255<br/>[-4.4255, -4.4255]","-4.4240<br/>[-4.4240, -4.4240]","-4.4151<br/>[-4.4151, -4.4151]","-4.4173<br/>[-4.4173, -4.4173]","-4.4167<br/>[-4.4167, -4.4167]","-4.4167<br/>[-4.4167, -4.4167]","-4.4165<br/>[-4.4165, -4.4165]","-4.4161<br/>[-4.4161, -4.4161]","-4.4156<br/>[-4.4156, -4.4156]","-4.4155<br/>[-4.4155, -4.4155]"],["-2.8053<br/>[-2.8053, -2.8053]","-3.6291<br/>[-3.6294, -3.6287]","-3.2359<br/>[-3.2359, -3.2351]","-1.8463<br/>[-1.8487, -1.8463]","-3.2490<br/>[-3.2520, -3.2472]","-3.1716<br/>[-3.1725, -3.1628]","-1.8502<br/>[-1.8502, -1.8502]","-3.5523<br/>[-3.5867, -3.5009]","-3.4334<br/>[-3.4966, -3.3376]","-3.7094<br/>[-3.7669, -3.6312]","-3.5386<br/>[-3.6737, -3.4259]","-3.6741<br/>[-3.7488, -3.6145]","-4.0930<br/>[-5.3683, -3.7800]","-5.8411<br/>[-7.5360, -5.1630]","-5.5738<br/>[-7.0291, -4.9242]","-5.9043<br/>[-7.5232, -5.2535]","-5.9853<br/>[-7.5835, -5.3071]","-5.8722<br/>[-7.4104, -5.2040]","-6.0764<br/>[-7.5813, -5.4069]","-6.0021<br/>[-7.5043, -5.3316]"]],"container":"<table class=\"white-space: nowrap\">\n <thead>\n <tr>\n <th>Cluster ID<\/th>\n <th># of SNPs<\/th>\n <th>Log10 BF<\/th>\n <th>Log10 outside π<br/>(mean, 95% CI)<\/th>\n <th>Log10 inside π<br/>(mean, 95% CI)<\/th>\n <\/tr>\n <\/thead>\n<\/table>","options":{"columnDefs":[{"className":"dt-right","targets":[1,2]}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data) {\nDTWidget.formatRound(this, row, data, 2, 3, 3, ',', '.');\n}"}},"evals":["options.rowCallback"],"jsHooks":[]}</script> <p>The relationship between tissues and clusters is shown in Figure 1 of <a href="http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1006599">Dey et al. (2017)</a>; see below.</p> <p><img src="http://journals.plos.org/plosgenetics/article/figure/image?size=large&id=10.1371/journal.pgen.1006599.g001" /></p> </div> </div> <div id="session-information" class="section level2"> <h2>Session information</h2> <div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">devtools<span class="op">::</span><span class="kw">session_info</span>()</a></code></pre></div> <pre><code>Session info -------------------------------------------------------------</code></pre> <pre><code> setting value version R version 3.5.1 (2018-07-02) system x86_64, darwin15.6.0 ui X11 language (EN) collate en_US.UTF-8 tz America/Los_Angeles date 2018-10-05 </code></pre> <pre><code>Packages -----------------------------------------------------------------</code></pre> <pre><code> package * version date source assertthat 0.2.0 2017-04-11 CRAN (R 3.5.0) backports 1.1.2 2017-12-13 CRAN (R 3.5.0) base * 3.5.1 2018-07-05 local bindr 0.1.1 2018-03-13 CRAN (R 3.5.0) bindrcpp 0.2.2 2018-03-29 CRAN (R 3.5.0) compiler 3.5.1 2018-07-05 local crayon 1.3.4 2017-09-16 CRAN (R 3.5.0) crosstalk 1.0.0 2016-12-21 CRAN (R 3.5.0) datasets * 3.5.1 2018-07-05 local devtools 1.13.6 2018-06-27 CRAN (R 3.5.0) digest 0.6.17 2018-09-12 CRAN (R 3.5.0) dplyr * 0.7.6 2018-06-29 CRAN (R 3.5.1) DT * 0.4 2018-01-30 CRAN (R 3.5.0) evaluate 0.11 2018-07-17 CRAN (R 3.5.0) git2r 0.23.0 2018-07-17 CRAN (R 3.5.0) glue 1.3.0 2018-07-17 CRAN (R 3.5.0) graphics * 3.5.1 2018-07-05 local grDevices * 3.5.1 2018-07-05 local htmltools 0.3.6 2017-04-28 CRAN (R 3.5.0) htmlwidgets 1.3 2018-09-30 CRAN (R 3.5.0) httpuv 1.4.5 2018-07-19 CRAN (R 3.5.0) jsonlite 1.5 2017-06-01 CRAN (R 3.5.0) knitr 1.20 2018-02-20 CRAN (R 3.5.0) later 0.7.5 2018-09-18 CRAN (R 3.5.0) magrittr 1.5 2014-11-22 CRAN (R 3.5.0) memoise 1.1.0 2017-04-21 CRAN (R 3.5.0) methods * 3.5.1 2018-07-05 local mime 0.5 2016-07-07 CRAN (R 3.5.0) pillar 1.3.0 2018-07-14 CRAN (R 3.5.0) pkgconfig 2.0.2 2018-08-16 CRAN (R 3.5.0) plyr * 1.8.4 2016-06-08 CRAN (R 3.5.0) promises 1.0.1 2018-04-13 CRAN (R 3.5.0) purrr 0.2.5 2018-05-29 CRAN (R 3.5.0) R.matlab * 3.6.2 2018-09-27 CRAN (R 3.5.0) R.methodsS3 1.7.1 2016-02-16 CRAN (R 3.5.0) R.oo 1.22.0 2018-04-22 CRAN (R 3.5.0) R.utils 2.7.0 2018-08-27 CRAN (R 3.5.0) R6 2.3.0 2018-10-04 CRAN (R 3.5.0) Rcpp 0.12.19 2018-10-01 CRAN (R 3.5.0) rlang 0.2.2 2018-08-16 CRAN (R 3.5.0) rmarkdown 1.10 2018-06-11 CRAN (R 3.5.0) rprojroot 1.3-2 2018-01-03 CRAN (R 3.5.0) shiny 1.1.0 2018-05-17 CRAN (R 3.5.0) stats * 3.5.1 2018-07-05 local stringi 1.2.4 2018-07-20 CRAN (R 3.5.0) stringr 1.3.1 2018-05-10 CRAN (R 3.5.0) tibble 1.4.2 2018-01-22 CRAN (R 3.5.0) tidyselect 0.2.4 2018-02-26 CRAN (R 3.5.0) tools 3.5.1 2018-07-05 local utils * 3.5.1 2018-07-05 local whisker 0.3-2 2013-04-28 CRAN (R 3.5.0) withr 2.1.2 2018-03-15 CRAN (R 3.5.0) workflowr 1.1.1 2018-07-06 CRAN (R 3.5.0) xtable 1.8-3 2018-08-29 CRAN (R 3.5.0) yaml 2.2.0 2018-07-25 CRAN (R 3.5.0)</code></pre> </div> <!-- Adjust MathJax settings so that all math formulae are shown using TeX fonts only; see http://docs.mathjax.org/en/latest/configuration.html. 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