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Binder, A; Klobassa, DS; Trobisch, A; Zenz, W.
Genetic investigations in children with severe bacterial infectious diseases
MONATSSCHR KINDERH. 2015; 163(5): 448-454. Doi: 10.1007/s00112-014-3250-2
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Führende Autor*innen der Med Uni Graz
Binder Alexander
Zenz Werner
Co-Autor*innen der Med Uni Graz
Kohlfürst Daniela
Trobisch Andreas

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Modern molecular genetics now provide a realm of new methods for pinpointing genes or regions of interest causative for susceptibility and outcome of infectious diseases. Linkage analyses and twin studies have been applied for infectious diseases but so far only few traits have been successfully mapped to a gene locus. Genetic association studies may be an effective approach to the problem posed by complex traits. With the explosion of genotyping technologies, genome-wide association studies and full exome sequencing have become feasible. Gene expression analyses can detect the specific responses of the host and may lead to faster and more reliable diagnoses for fever without an obvious cause in children. A new European project funded by the 7th framework program, the European childhood life-threatening infectious diseases study (EUCLIDS) aims to use these methods to identify mechanisms underlying susceptibility, provide new targets for treatment and prevention and identify those at risk of disease or poor outcome. This is a unique European project, which has established an interdisciplinary team with expertise in infectious diseases, immunogenetics, bioinformatics, microbiology, public health and vaccinology. Within this project several sub-studies are planned, e.g. molecular genetic detection of pathogens that are not included in routine diagnostics, identification of human genes that are causally related to severity in meningococcal infections, identification of human susceptibility genes in other severe infections with Streptococcus pneumoniae, Staphylococcus and group A streptococci, gene expression profiling in extreme phenotypes and genetic investigations of vaccine responses.

Find related publications in this database (Keywords)
Linkage analysis
Genome-wide association study
Gene expression profiling
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