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.

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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
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article

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

Figshare
Sepsis Diagnosis and Treatment
article

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

article en

Abstract

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.

Figshare
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)
Good health and well-being
Openalex Percentile: Top 41%
Sepsis Diagnosis and Treatment
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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 · Figshare (2025) | TGRS Research Map | TGRS