Additional file 2: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

Seeds and Parkinsonian syndromes. (JPG 266 kb

Additional file 13: of Stratification of candidate genes for Parkinson’s 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 5: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

g:Pprofiler enrichment for the entire network. (XLSX 172 kb

Additional file 18: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

GO Annotation Frequency. Proteins whose ORF is in the LD blocks around the prioritized SNPs in the PD-GWAS have been evaluate in terms of numbers of GO annotations present in GO for that specific ORF. In red are reported the proteins that correspond to genes that we prioritized with our analysis. In grey, all the other genes are reported. For some of the loci (A) the genes we prioritized was the gene with the maximum number of GO annotations for that locus; in some other cases (B) the genes we prioritized was NOT the gene with the maximum number of GO annotations for that locus. Finally, there are also mixed cases (C). (TIFF 315 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 Parkinson’s disease using weighted protein-protein interaction network analysis

Supplementary Methods. (DOCX 64 kb

Additional file 11: of Stratification of candidate genes for Parkinson’s 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 Parkinson’s disease using weighted protein-protein interaction network analysis

g:Pprofiler enrichment for the PS IIHs. (XLSX 29 kb

Additional file 3: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

Second layer network topological properties. (JPG 94 kb

Additional file 8: of Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

g:Pprofiler enrichment for the PD IIHs. (XLSX 25 kb