- Contains all the R scripts created to perform the meta-analyses
- Main script to call is Run_meta_analysis_script.R. It will call the other scripts in order.
- Contains input data obtained from:
-
Ding, Y., Chang, L. C., Wang, X., Guilloux, J. P., Parrish, J., Oh, H., French, B. J., Lewis, D. A., Tseng, G. C., & Sibille, E. (2015). Molecular and Genetic Characterization of Depression: Overlap with other Psychiatric Disorders and Aging. Molecular neuropsychiatry, 1(1), 1–12. https://doi.org/10.1159/000369974
-
Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature. 2012;489(7416):391-399. doi:10.1038/nature11405
-
Howard, D.M., Adams, M.J., Clarke, T. et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci 22, 343–352 (2019). https://doi.org/10.1038/s41593-018-0326-7
-
Labonté, B., Engmann, O., Purushothaman, I. et al. Sex-specific transcriptional signatures in human depression. Nat Med 23, 1102–1111 (2017). https://doi.org/10.1038/nm.4386
-
Ramaker, R.C., Bowling, K.M., Lasseigne, B.N. et al. Post-mortem molecular profiling of three psychiatric disorders. Genome Med 9, 72 (2017). https://doi.org/10.1186/s13073-017-0458-5
-
Seney ML, Huo Z, Cahill K, et al. Opposite Molecular Signatures of Depression in Men and Women. Biol Psychiatry. 2018;84(1):18-27. doi:10.1016/j.biopsych.2018.01.017
-
Zeisel A, Hochgerner H, Lönnerberg P, et al. Molecular Architecture of the Mouse Nervous System. Cell. 2018;174(4):999-1014.e22. doi:10.1016/j.cell.2018.06.021
- Contains the intermediate analyses results that are used for the final meta-analysis results
- Contains all the results from the final meta-analysis including heatmap plots