Additional file 2: of A simulation study investigating power estimates in phenome-wide association studies

Summary Results: The summary results used to generate the figures. (XLSX 56 kb

Additional file 1: of A simulation study investigating power estimates in phenome-wide association studies

Figure S1. Binary Trait Type I Errors. The plot shows the Type I errors for different parameter settings. Each panel represents the different case number on the top and case-control ratio on the right which was used for the simulation dataset. The Type I error on the y-axis is calculated based on the number of false positive association below significance level of α = 0.00025. The disease penetrance is represented on the x-axis and each colored point represent different MAF used in the simulations. (PNG 379 kb

Quisqualis indica L.

原著和名: インドシクンシ科名: シクンシ科 = Combretaceae採集地: 千葉県 千葉市 千葉大学 (下総 千葉市 千葉大学)採集日: 1974/7/6採集者: 萩庭丈壽整理番号: JH007681国立科学博物館整理番号: TNS-VS-95768

Additional file 3: Table S3. of eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants

Dataset 1 results at p-value significance of 0.01. (XLSX 67 kb

Additional file 4: Table S4. of eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants

Dataset 2 results at p-value significance of 0.01. (XLSX 58 kb

Additional file 1: Table S1. of Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)

Information for cohorts providing individual level data. Information regarding the geographic location, and numbers of individuals included from each cohort. (PDF 40 kb

Additional file 6:Â Additional Acknowledgements. of Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)

Acknowledgements and detailed descriptions of the five studies that provided the data for the analyses in this paper. (PDF 68 kb

Additional file 4: Table S3. of Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)

Details of LD expanded models. Number of LD-expanded (proxy) SNP-SNP models generated for each original discovered SNP-SNP model. (XLSX 34 kb

Additional file 1: Table S1. of Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals

Discovery results for all models that passed replication thresholds for MEF analysis. Column header definitions provided at the end. Table S2. Discovery results for all models that passed replication thresholds for Biofilter analysis. Column header definitions provided at the end. (PDF 1649 kb

Additional file 1: Table S1. of Concept and design of a genome-wide association genotyping array tailored for transplantation-specific studies

Tagging and coverage of MHC region markers. Table S2: Tagging and coverage of Tx-specific genes. Table S3: Untranslated regions (UTRs) considered in the TxArray design. Table S4: Loss-of-function variants included in the TxArray. Table S5: Copy number polymorphisms (CNPs) and variations (CNVs) included in the TxArray. (DOCX 54 kb