8 research outputs found
Additional file 1: of TMEM106B haplotypes have distinct gene expression patterns in aged brain
Table S1. Tissue samples available and selected for inclusion in this study. Table S2. DEGS in TCX. Positive fold change represents higher gene expression in SS than TT. Negative fold change represents lower gene expression in SS than TT. Table S3. DEGS in CER. Positive fold change represents higher gene expression in SS than TT. Negative fold change represents lower gene expression in SS than TT. Table S4. Overlapping genes between TCX and CER based on top 500 genes with |FC| ≥ 1.2 ranked by unadjusted p value. Table S5. Enrichment of modules for their respective DEG signatures. Table S6. Significant modules identified in the TCX and CER matched cases. Table S7. Significant modules identified in separate disease groups in TCX and CER. Table S8. Significant modules identified in the TCX and CER controls. (DOCX 54 kb
Additional file 2: of Identification of missing variants by combining multiple analytic pipelines
Table S2. The composition of Tier 1, 2 and 3 variants in BWA-unique, Novo-unique and shared variants. (DOCX 13 kb
Additional file 3: of Identification of missing variants by combining multiple analytic pipelines
Table S3. The percentage of known and novel variants in BWA-unique, Novo-unique and shared variants. (DOCX 13 kb
Additional file 4: of Identification of missing variants by combining multiple analytic pipelines
Table S4. The genomic location and GC content of multi-unique, single-unique and shared variants. (DOCX 14 kb
Additional file 7: of Identification of missing variants by combining multiple analytic pipelines
Table S7. The full list of variants identified in APP, PSEN1 and PSEN2 by each workflow. (XLSX 14 kb
Additional file 1: of Identification of missing variants by combining multiple analytic pipelines
Table S1. The genomic location and GC content of BWA-unique, Novo-unique and shared variants. (DOCX 14 kb
Additional file 5: of Identification of missing variants by combining multiple analytic pipelines
Table S5. The composition of Tier 1, 2 and 3 variants in multi-unique, single-unique and shared variants. (DOCX 14 kb
Additional file 6: of Identification of missing variants by combining multiple analytic pipelines
Table S6. The percentage of known and novel variants in multi-unique, single-unique and shared variants. (DOCX 13 kb