Additional file 1 of Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Additional_file_1_of_Polygenic_transcriptome_risk_scores_enhance_predictive_accuracy_in_atopic_dermatitis/29143071
下载链接
链接失效反馈官方服务:
资源简介:
Supplementary materials 1: Table S1. S-PrediXcan results in EBV-transformed lymphocytes. Table S2. S-PrediXcan results in Lung. Table S3. S-PrediXcan results in Not Sun Exposed Skin. Table S4. S-PrediXcan results in Sun Exposed Skin. Table S5. S-PrediXcan results in Small Intestine. Table S6. S-PrediXcan results in Spleen. Table S7. S-PrediXcan results in Whole Blood. Table S8. Phenotypic variance explained for all P-value thresholds in the training dataset. Table S9. C-statistics (95% CI) and number of genes for each PTRS in the training dataset. Each analysis was adjusted for age, sex and first 10 genetic principal components. Table S10. Biological processes involved in genes mapped across tissue-specific, best performing PTRS models. Table S11. C-statistic (95% CI) for each risk score in the test dataset. Each analysis was adjusted for age, sex and first 10 genetic principal components. Table S12. Interactions between standardized PRS and PTRS values in the training dataset. Each analysis was adjusted for age, sex and first 10 genetic principal components. Table S13. Interaction analysis for PRS and PTRS in eosinophils. Each analysis was adjusted for age, sex and first 10 genetic principal components. Table S14. Interaction analysis for PRS and PTRS in lymphocytes. Each analysis was adjusted for age, sex and first 10 genetic principal components. Table S15. Interaction analysis for PTRS and lymphocytes in disease risk. Each analysis was adjusted for age, sex and first 10 genetic principal components.
创建时间:
2025-05-23



