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Analysis of AMP-AD gene expression data to detect submodules and heterogeneity relevant for LOAD, published in Milind et al. 2020

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AMP-AD Submodules

Project Description

This repository holds the scripts, RMarkdown files, and their html rendering from Nikhil Milind's summer project 2018-2019 in the Carter lab. The full project folder is in '/sdata/carter-lab/carter/AMPAD/AMPAD_Submodules/` on tier1. Results from this project are available on Synapse.

Co-expression modules were generated by Logsdon et al. (2019) for transcriptomic data from the AMP-AD cohorts (10.7303/syn11932957.1). In this project, we generate submodules by pruning genes and dividing the broad modules into pathway-specific gene sets. We also generated quantitative traits for single-variant association mapping.

More information about where to find specific analyses or results can be found in Summer2019Report.html and Summer2018Report.html.

This project is now published in:
Milind N, Preuss C, Haber A, Ananda G, Mukherjee S, John C, et al. (2020) Transcriptomic stratification of late-onset Alzheimer's cases reveals novel genetic modifiers of disease pathology. PLoS Genet 16(6): e1008775. https://doi.org/10.1371/journal.pgen.1008775

Environment

Scripts are written in either R(3.5.3) or Python(3.7.3). Other important softwares used include:

  1. Inkscape (0.92.2)
  2. Cytoscape (3.7.1)
  3. RStudio (1.2.1335)
  4. PLINK (1.07)
  5. EMMAX (2012-02-05 from http://csg.sph.umich.edu//kang/emmax/download/index.html)

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Analysis of AMP-AD gene expression data to detect submodules and heterogeneity relevant for LOAD, published in Milind et al. 2020

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