Browsing publications of the research group infection genetics (INFG) by Subject (MeSH)

Now showing items 1-2 of 2

    • Data-driven assessment of eQTL mapping methods.
      Michaelson, Jacob J; Alberts, Rudi; Schughart, Klaus; Beyer, Andreas; Cellular Networks and Systems Biology, Biotechnology Center - TU Dresden, Dresden, Germany. (2010)
      The analysis of expression quantitative trait loci (eQTL) is a potentially powerful way to detect transcriptional regulatory relationships at the genomic scale. However, eQTL data sets often go underexploited because legacy QTL methods are used to map the relationship between the expression trait and genotype. Often these methods are inappropriate for complex traits such as gene expression, particularly in the case of epistasis.

    • Genome-wide analysis of the mouse lung transcriptome reveals novel molecular gene interaction networks and cell-specific expression signatures.
      Alberts, Rudi; Lu, Lu; Williams, Robert W; Schughart, Klaus; Department of Infection Genetics, University of Veterinary Medicine Hannover, Inhoffenstr, Braunschweig, Germany. (2011)
      The lung is critical in surveillance and initial defense against pathogens. In humans, as in mice, individual genetic differences strongly modulate pulmonary responses to infectious agents, severity of lung disease, and potential allergic reactions. In a first step towards understanding genetic predisposition and pulmonary molecular networks that underlie individual differences in disease vulnerability, we performed a global analysis of normative lung gene expression levels in inbred mouse strains and a large family of BXD strains that are widely used for systems genetics. Our goal is to provide a key community resource on the genetics of the normative lung transcriptome that can serve as a foundation for experimental analysis and allow predicting genetic predisposition and response to pathogens, allergens, and xenobiotics.