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Fine mapping of genes associated with Parkinson's Disease using a variety of methods

License: GNU General Public License v3.0

HTML 91.45% Shell 0.14% Python 0.02% R 0.69% CSS 0.02% Rich Text Format 0.01% Makefile 0.18% C++ 4.80% CMake 0.16% C 0.04% Fortran 1.21% JavaScript 0.68% Roff 0.01% M4 0.01% Mathematica 0.56% TeX 0.02% HyPhy 0.01% SCSS 0.02%

fine_mapping's Introduction

Fine_Mapping

echolocatoR is an open-source R library that wraps, integrates and extends several commonly used genetic and functional fine mapping tools, as well as annotation and enrichment tools.

Here, we fine-map loci from recent GWAS to identify causal genetic variants that have been previously associated with Parkinson's Disease (PD) or Alzheimer's Disease (PD).

All data and results can viewed and downloaded via the following interactive Rmarkdown output files below.



Download

Clone github repo

git clone https://github.com/RajLabMSSM/Fine_Mapping.git

Clone submodule repos

git submodule init 
git submodule update

Current Results

Parkinson's Disease

  • Most recent version of fine-mapping, on all 78 loci. Note that currently the plots are shifted over a tab or two from their respective loci (working on fixing this).
  • Functional fine-mapping of the LRRK2 locus using PAINTOR.
  • eQTL boxplots of selected LRRK2 SNPs using the Fairfax et al. (2014) eQTL summary statistics from monocytes.
  • Annotation of all 78 loci usig Biomart and HaploReg.
  • Enrichment tests on all 78 loci using fGWAS.
  • Enrichment tests on LRRK2 locus using GoShifter.

Workflow

echoFlow


Fine-mapping Tools

Currently implemented:

Planning to implement:


Annotation & Enrichment Tools


Datasets

Parkinson's Disease GWAS

  • Both Nalls et al. (2019) summary stats and 1000 Genomes Project LD calculations used human genome annotation GRCh37.

Alzheimer's Disease GWAS

LD Reference Panels

QTL

  • AFA, CAU & HIS subpopulations.
  • Monocytes and macrophages.
  • expression QTL (eQTL), chromatin QTL (cQTL) and isoform QTL (isoQTL) from Control, Schizophrenia, Bipolar Disorder, and Autism Spectrum Disorder populations.


Author

Brian M. Schilder, Bioinformatician II
Raj Lab
Department of Neuroscience, Icahn School of Medicine at Mount Sinai
Sinai

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