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Internship2

Scripts used for internship II

Scripts used on server NESDA

Script dependencies NESDA server.R

Script GE Analysis.R

Script data cleaning.R

Scripts used on own computer

Script dependencies.R

Script Clump Plink.R

Script FUMA Results.R

Script SuppData Descriptives.R

plink_clump.sh

plink_clump_newdata.sh

plink_clump_all.sh

plink_clump_all_newdata.sh

plink_ld_calc.sh

plink_ld_calc_newdata.sh

plink_ld_calc_all.sh

plink_ld_calc_all_newdata.sh

Scripts used for mock Grant Proposal

fig_hist_circ.R

gantt_chart.R

venn_diagram.R

Overview Software used

R and Rstudios were used for main analyses regarding the regression models. FUMA-software was used for single level gene analyses, providing overrepresentation in sets of differentially expressed genes, and hypergeometric tests. Plink 2 and Unix shell scripts were used for eQTL analyses. For a full overview of the Unix shell- and R-scripts used, see github.

For our analyses in R, we used R (Version 4.0.4, R Core Team, 2021) and the R-packages anytime (Version 0.3.9, Eddelbuettel, 2020), cowplot (Version 1.1.1, Wilke, 2020), data.table (Version 1.14.0, Dowle & Srinivasan, 2021), dplyr (Version 1.0.6, Wickham, François, Henry, & Müller, 2021), forcats (Version 0.5.1, Wickham, 2021a), gee (Version 4.13.20, R by Thomas Lumley & Ripley., 2019), ggplot2 (Version 3.3.4, Wickham, 2016), haven (Version 2.4.1, Wickham & Miller, 2021), kableExtra (Version 1.3.4, Zhu, 2021), lubridate (Version 1.7.10, Grolemund & Wickham, 2011), metap (Version 1.4, Dewey, 2020), openxlsx (Version 4.2.4, Schauberger & Walker, 2021), papaja (Version 0.1.0.9997, Aust & Barth, 2020), psych (Version 2.1.6, Revelle, 2021), purrr (Version 0.3.4, Henry & Wickham, 2020), readr (Version 1.4.0, Wickham & Hester, 2020), readxl (Version 1.3.1, Wickham & Bryan, 2019), reshape2 (Version 1.4.4, Wickham, 2007), scales (Version 1.1.1, Wickham & Seidel, 2020), stringr (Version 1.4.0, Wickham, 2019), tibble (Version 3.1.2, Müller & Wickham, 2021), tidyr (Version 1.1.3, Wickham, 2021b), and tidyverse (Version 1.3.1, Wickham et al., 2019).

References Software used for Thesis

FUMA

Watanabe, K., Taskesen, E., Bochoven, A. van, & Posthuma, D. (2017). Functional mapping and annotation of genetic associations with FUMA. Nature Communications, 8 (1), 1826. https://doi.org/10.1038/s41467-017-01261-5

Plink

Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D.,... Sham, P. C. (2007). PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. The American Journal of Human Genetics, 81 (3), 559–575. https://doi.org/10.1086/519795

R packages

Aust, F., & Barth, M. (2020). papaja: Create APA manuscripts with R Markdown. Retrieved from https://github.com/crsh/papaja

Dewey, M. (2020). metap: Meta-analysis of significance values.

Dowle, M., & Srinivasan, A. (2021). Data.table: Extension of ‘data.frame‘. Retrieved from https://CRAN.R-project.org/package=data.table

Eddelbuettel, D. (2020). Anytime: Anything to ’POSIXct’ or ’date’ converter. Retrieved from https://CRAN.R-project.org/package=anytime

Grolemund, G., & Wickham, H. (2011). Dates and times made easy with lubridate. Journal of Statistical Software, 40 (3), 1–25. Retrieved from https://www.jstatsoft.org/v40/i03/

Henry, L., & Wickham, H. (2020). Purrr: Functional programming tools. Retrieved from https://CRAN.R-project.org/package=purrr

Müller, K., & Wickham, H. (2021). Tibble: Simple data frames. Retrieved from https://CRAN.R-project.org/package=tibble

R by Thomas Lumley, V. J. Carey. P. to, & Ripley., B. (2019). Gee: Generalized estimation equation solver. Retrieved from https://CRAN.R-project.org/package=gee

R Core Team. (2021). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/

Revelle, W. (2021). Psych: Procedures for psychological, psychometric, and personality research. Evanston, Illinois: Northwestern University. Retrieved from https://CRAN.R-project.org/package=psych

Schauberger, P., & Walker, A. (2021). Openxlsx: Read, write and edit xlsx files. Retrieved from https://CRAN.R-project.org/package=openxlsx

Wickham, H. (2007). Reshaping data with the reshape package. Journal of Statistical Software, 21 (12), 1–20. Retrieved from http://www.jstatsoft.org/v21/i12/

Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York. Retrieved from https://ggplot2.tidyverse.org

Wickham, H. (2019). Stringr: Simple, consistent wrappers for common string operations. Retrieved from https://CRAN.R-project.org/package=stringr

Wickham, H. (2021a). Forcats: Tools for working with categorical variables (factors). Retrieved from https://CRAN.R-project.org/package=forcats

Wickham, H. (2021b). Tidyr: Tidy messy data. Retrieved from https://CRAN.R-project.org/package=tidyr

Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., . . . Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4 (43), 1686. https://doi.org/10.21105/joss.01686

Wickham, H., & Bryan, J. (2019). Readxl: Read excel files. Retrieved from https://CRAN.R-project.org/package=readxl

Wickham, H., François, R., Henry, L., & Müller, K. (2021). Dplyr: A grammar of data manipulation. Retrieved from https://CRAN.R-project.org/package=dplyr

Wickham, H., & Hester, J. (2020). Readr: Read rectangular text data. Retrieved from https://CRAN.R-project.org/package=readr

Wickham, H., & Miller, E. (2021). Haven: Import and export ’SPSS’, ’stata’ and ’SAS’ files. Retrieved from https://CRAN.R-project.org/package=haven

Wickham, H., & Seidel, D. (2020). Scales: Scale functions for visualization. Retrieved from https://CRAN.R-project.org/package=scales

Wilke, C. O. (2020). Cowplot: Streamlined plot theme and plot annotations for ’ggplot2’. Retrieved from https://CRAN.R-project.org/package=cowplot

Zhu, H. (2021). kableExtra: Construct complex table with ’kable’ and pipe syntax. Retrieved from https://CRAN.R-project.org/package=kableExtra

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