ArticleEBioMedicine2016
Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive.
Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Whole-Exome Sequencing for the Identification of Genetic Factors Implicated in Severe Bacterial Infections: A Systematic Review.The Journal of infectious diseases · 2026Pooled it
- Genomic and integrative based progression biomarker discovery in adult sepsis: toward clinical stratification and precision medicine.Annals of intensive care · 2026Review
- XhetRel: a pipeline for X heterozygosity and relatedness analysis of sequencing data.Bioinformatics advances · 2026Article
- Advances of immunosensors based on noble metal composite materials for detecting procalcitonin.Mikrochimica acta · 2025Review
- Genetic Determinants of the Acute Respiratory Distress Syndrome.Journal of clinical medicine · 2023Review
- Efficient cross-validation traversals in feature subset selection.Scientific reports · 2022Article
- Admixture Mapping of Sepsis in European Individuals With African Ancestries.Frontiers in medicine · 2022Article
- Analysis, identification and visualization of subgroups in genomics.Briefings in bioinformatics · 2021Review
- A Bayesian linear mixed model for prediction of complex traits.Bioinformatics (Oxford, England) · 2021Article
- Immune Intervention in Sepsis.Frontiers in pharmacology · 2021Review
- Challenges in understanding host genetics and severity of community-acquired pneumonia.ERJ open research · 2021Article
- Constraining classifiers in molecular analysis: invariance and robustness.Journal of the Royal Society, Interface · 2020Article
- Polygenic Risk Score for Early Prediction of Sepsis Risk in the Polytrauma Screening Cohort.Frontiers in genetics · 2020Article
- A Novel and Mosaic WDR45 Nonsense Variant Causes Beta-Propeller Protein-Associated Neurodegeneration Identified Through Whole Exome Sequencing and X chromosome Heterozygosity Analysis.Neuromolecular medicine · 2019Article
- Semantic Multi-Classifier Systems Identify Predictive Processes in Heart Failure Models across Species.Biomolecules · 2018Article
- Factors Underlying Racial Disparities in Sepsis Management.Healthcare (Basel, Switzerland) · 2018Review
- Mining Human Prostate Cancer Datasets: The "camcAPP" Shiny App.EBioMedicine · 2017Article
- Genomic Insights Into Sepsis Course Using Whole Exome Sequencing.EBioMedicine · 2016Article
- Genetic Association Studies Identify Unanticipated Gene Pathways Influencing Sepsis Outcome.EBioMedicine · 2016Article
- Genetic Factors of the Disease Course after Sepsis: A Genome-Wide Study for 28Day Mortality.EBioMedicine · 2016Article
Corrections and comments
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Authors and funding
22 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. For its clinical course, host genetic factors are important and rare genomic variants are suspected to contribute. We sequenced the exomes of 59 Greek and 15 German patients with bacterial sepsis divided into two groups with extremely different disease courses. Variant analysis was focusing on rare deleterious single nucleotide variants (SNVs). We identified significant differences in the number of rare deleterious SNVs per patient between the ethnic groups. Classification experiments based on the data of the Greek patients allowed discrimination between the disease courses with estimated sensitivity and specificity>75%. By application of the trained model to the German patients we observed comparable discriminatory properties despite lower population-specific rare SNV load. Furthermore, rare SNVs in genes of cell signaling and innate immunity related pathways were identified as classifiers discriminating between the sepsis courses. Sepsis patients with favorable disease course after sepsis, even in the case of unfavorable preconditions, seem to be affected more often by rare deleterious SNVs in cell signaling and innate immunity related pathways, suggesting a protective role of impairments in these processes against a poor disease course.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.