Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Critical Care
Published in: Critical Care 3/2009

01-06-2009 | Commentary

Understanding genetics of sepsis: will new technology help?

Authors: Sachin Yende, John A Kellum

Published in: Critical Care | Issue 3/2009

Login to get access

Abstract

High-throughput techniques, such as genome-wide scans, will allow genotyping of a large number of single-nucleotide polymorphisms throughout the human genome. There is intense interest to apply this technology to understand genetics of complex traits, including severe sepsis. To effectively utilize this technology, large cohorts of septic patients will have to be recruited. Careful attention should be paid to different aspects of study design and analyses as large, multicenter cohorts are assembled for genome-wide association studies.
Literature
1.
2.
Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, de Bakker PI, Abecasis GR, Almgren P, Andersen G, Ardlie K, Bostrom KB, Bergman RN, Bonnycastle LL, Borch-Johnsen K, Burtt NP, Chen H, Chines PS, Daly MJ, Deodhar P, Ding CJ, Doney ASF, Duren WL, Elliott KS, Erdos MR, Frayling TM, Freathy RM, Gianniny L, Grallert H, Grarup N, et al.: Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet 2008, 40: 638-645. 10.1038/ng.120PubMedCentralCrossRefPubMed
3.
The Wellcome Trust Case Control Consortium: Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007, 447: 661-678. 10.1038/nature05911PubMedCentralCrossRef
4.
Cardon LR, Palmer LJ: Population stratification and spurious allelic association. Lancet 2003, 361: 598-604. 10.1016/S0140-6736(03)12520-2CrossRefPubMed
Metadata
Title
Understanding genetics of sepsis: will new technology help?
Authors
Sachin Yende
John A Kellum
Publication date
01-06-2009
Publisher
BioMed Central
Published in
Critical Care / Issue 3/2009
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/cc7727

Other articles of this Issue 3/2009

Critical Care 3/2009 Go to the issue

Research

The effect of exogenous glucagon-like peptide-1 on the glycaemic response to small intestinal nutrient in the critically ill: a randomised double-blind placebo-controlled cross over study

Research

Model for predicting short-term mortality of severe sepsis

Commentary

Monocyte TREM-1 membrane expression in non-infectious inflammation

Research

Serum resistin levels in critically ill patients are associated with inflammation, organ dysfunction and metabolism and may predict survival of non-septic patients

Research

Occurrence and adverse effect on outcome of hyperlactatemia in the critically ill

Book report

Stewart's Textbook of Acid-Base, 2nd edition. Edited by Kellum JA, Elbers PWG. Lulu Enterprises, UK Ltd; 2009. 504 pages.