26 research outputs found
Additional file 13: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
List of PD network proteins responsible for the enrichment of the terms in Supplementary File 6. (XLSX 62 kb
Additional file 15: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis
PD-GWAS gene prioritization. Significant SNPs from PD-GWAS and the number of ORFs in LD (from r2 > 0.5 to r2 > 0.8) are shown. Part A contains significant SNPs as per joint analysis, part B contains significant SNPs as per discovery phase. The candidate genes based on proximity are summarized as suggested in the original GWAS. Newly proposed candidate genes within each are identified on the basis of our analysis of the functionally relevant proteins in the PPI network. Genes previously selected by proximity and now also confirmed by functional analysis of the PD-network are in bold font. The top pie chart represents the distribution of proteins across the different relevant processes. In the final column the cell type with major expression (> 5% of average expression) is reported as calculated from the dataset generated by Zhang et al. [13] (A = mature astrocytes, N = neurons, M = microglia, O = oligodendrocytes and, E = endothelial cells). The bottom pie chart represents the distribution of proteins based on cell type expression in human temporal lobe cortex. (JPG 349 kb
Additional file 1: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
Supplementary Methods. (DOCX 64 kb
Additional file 11: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
Panther enrichment for the entire network. (XLSX 117 kb
Additional file 7: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
g:Pprofiler enrichment for the PS IIHs. (XLSX 29 kb
Additional file 5: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
g:Pprofiler enrichment for the entire network. (XLSX 172 kb
Additional file 17: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis
Random Distribution. Distribution of the number of matches obtained in 100,000 simulated experiments in which we matched the relevant PD, process-specific, network proteins to randomly generated gene-sets of the same length as the list of ORFs in LD blocks with the top SNPS in the PD-GWAS. The distribution in blue is generated for random gene-sets of the same length as the list of ORFs in LD r2 ≥ 0.5; the distribution in red is generated for random gene-sets of the same length as the list of ORFs in LD r2 ≥ 0.8. (PDF 36 kb
Additional file 6: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
g:Pprofiler enrichment for the FTD IIHs. (XLSX 23 kb
Additional file 2: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
Seeds and Parkinsonian syndromes. (JPG 266 kb
Additional file 3: of Stratification of candidate genes for Parkinsonâs disease using weighted protein-protein interaction network analysis
Second layer network topological properties. (JPG 94 kb