ArticleThe pharmacogenomics journal2013
Beyond single-marker analyses: mining whole genome scans for insights into treatment responses in severe sepsis.
Article in The pharmacogenomics journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.Science (New York, N.Y.) · 2013Pooled it
- Pharmacometabolomics of l-carnitine treatment response phenotypes in patients with septic shock.Annals of the American Thoracic Society · 2015Trial
- A functional synonymous coding variant in the IL1RN gene is associated with survival in septic shock.American journal of respiratory and critical care medicine · 2014Trial
- Genetic correlation analysis between sepsis and hematological traits: Identifying shared genomic regions.PloS one · 2025Article
- Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy.International journal of molecular sciences · 2023Article
- Genetic variants associated with sepsis.PloS one · 2022Article
- Pharmacometabolomics identifies candidate predictor metabolites of an L-carnitine treatment mortality benefit in septic shock.Clinical and translational science · 2021Article
- Genetic Predisposition to the Mortality in Septic Shock Patients: From GWAS to the Identification of a Regulatory Variant Modulating the Activity of aInternational journal of molecular sciences · 2021Article
- Immune System Disequilibrium-Neutrophils, Their Extracellular Traps, and COVID-19-Induced Sepsis.Frontiers in medicine · 2021Review
- Biomarkers in critical care nutrition.Critical care (London, England) · 2020Review
- CTLA-4 Genetic Variants Predict Survival in Patients with Sepsis.Journal of clinical medicine · 2019Article
- Nutritional metabolomics in critical illness.Current opinion in clinical nutrition and metabolic care · 2018Review
- Pharmacogenomic biomarkers do not predict response to drotrecogin alfa in patients with severe sepsis.Annals of intensive care · 2018Article
- The coming era of precision medicine for intensive care.Critical care (London, England) · 2017Review
- Genome-wide association study of sepsis in extremely premature infants.Archives of disease in childhood. Fetal and neonatal edition · 2017Article
- A path to precision in the ICU.Critical care (London, England) · 2017Review
- A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Genomic Insights Into Sepsis Course Using Whole Exome Sequencing.EBioMedicine · 2016Article
- Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive.EBioMedicine · 2016Article
- Genetic Factors of the Disease Course after Sepsis: A Genome-Wide Study for 28Day Mortality.EBioMedicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Management of severe sepsis, an acute illness with high morbidity and mortality, suffers from the lack of effective biomarkers and largely empirical predictions of disease progression and therapeutic responses. We conducted a genome-wide association study using a large randomized clinical trial cohort to discover genetic biomarkers of response to therapy and prognosis utilizing novel approaches, including combination markers, to overcome limitations of single-marker analyses. Sepsis prognostic models were dominated by clinical variables with genetic markers less informative. In contrast, evidence for gene-gene interactions were identified for sepsis treatment responses with genetic biomarkers dominating models for predicting therapeutic responses, yielding candidates for replication in other cohorts.
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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.