Additional file 1 of Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data

Additional file 1: This file contains the following supplementary tables. Supplemental Table S1a. Gene findings from the UKB analysis, where TBV is the trait of interest. Shown in the table are the p-values. Supplemental Table S1b. Gene findings from the ENIGMA2 analysis, where ICV is the trait of interest. Of note, this is a targeted analysis which only examines the gene findings from the previous UKB analysis. In other words, we were looking for which TBV-associated genes were also significantly associated with ICV. Shown in the table are the p-values. Supplemental Table S2. Among 10 genes discovered in our study, 9 of them (except FAM215B) are significantly associated with TBV in the gene-based association analysis of the original UKB GWAS (Zhao et al.). Supplemental Table S3. Results of enrichment analysis of 10 discovered genes on Gene Ontology Biological Processes. Supplemental Table S4. Results of enrichment analysis of 10 discovered genes on Gene Ontology Molecular Functions

Additional file 2 of Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

Additional file 2: Table S1.Results for genetic association analysis in Fig. 9 sorted by chromosome number.Thresholding at p= 0.05 with FDR correction, only SNPs that are significant in at least one case control associationtest are included and only p-values for significant results are recorded. Mapped gene(s) for each SNP are shown asthey are recorded in GWAS Catalog - SNPs in multiple genes are separated by comma, interactions are separated by”x”, and upstream anddownstream genes are separated by a hyphen for intergenic SNPs

Additional file 1 of Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

Additional file 1: Fig. S1.Progression Curves. For the 11 cognitive and biomarker measurements, while we only usedthe baseline measure in our cluster and survival analysis, we also plotted their progression curve using the longitudinal measures for the subtypes and the original MCI groups. The line plots are generated by aggregatingparticipants in the same subtype, where the line is the mean at a given time point and the shading is the 95%confidence interval