Additional file 2 of Population-specific genetic-risk scores enable improved prediction of mortality within 28 days of sepsis onset: a retrospective Taiwanese cohort study
Supplementary material 2: Figure S1. Exclusion criteria and study samples included in the study. Figure S2. Heatmap showing tissue based differential expression analysis using FUMA for genes mapped from genome-wide significant SNPs. Figure S3. General tissue specific up-regulated and down-regulated genes mapped from genome-wide significant SNPs via FUMA. Figure S4. Detailed tissue specific up-regulated and down-regulated genes mapped from genome-wide significant SNPs via FUMA. Table S1. SNPs found previously to be associated with sepsis susceptibility in genome-wide association studies. Table S2. List of suggestively significant SNPs (p<1 x10-5). Table S3. The performance of the polygenic risk score in the Cox prediction model using clumping and thresholding method (C+T) parameters. Table S4. Characteristics associated with 28-day mortality in the training dataset. Table S5. Characteristics associated with 28-day mortality in the testing dataset.
Institutions
- Fu Jen Catholic University (TW)
- National Yang Ming Chiao Tung University (TW)
- National Chung Hsing University (TW)
- National Taiwan University (TW)
- National Tsing Hua University (TW)
- Taipei Veterans General Hospital (TW)
- Taichung Veterans General Hospital (TW)
- Chung Shan Medical University (TW)
- National Taipei University (TW)
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.28502754.v1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00