Last updated: 2018-10-05
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Results below were generated from the GWAS summary statistics published in the paper “Biological, Clinical and Population Relevance of 95 Loci for Blood Lipids” (Nature, 2010). The summary data file is available at http://csg.sph.umich.edu/willer/public/lipids2010.
Enrichment analyses are summarized by the following three quantities.
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.
The relationship between tissues and clusters is shown in Figure 1 of Dey et al. (2017); see below.
Session info ------------------------------------------------------------- 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                  Packages ----------------------------------------------------------------- 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)This reproducible R Markdown analysis was created with workflowr 1.1.1