Thesis supervisor: Szilvia Fiatal
Location of studies (in Hungarian): Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary Abbreviation of location of studies: UDFPH
Description of the research topic:
There is now compelling evidence that a complex interplay between genetic determinants and environmental factors is behind the cardiovascular disease susceptibility. This research seeks to describe genetic background of selected cardiovascular risk factors by estimating the frequency and distribution pattern of single nucleotide polymorphisms (SNPs) in genes coding proteins involved in the regulation of blood pressure, metabolic pathways related to lipid and glucose metabolisms and also in that of affecting health behavior resulting in unhealthy lifestyle (smoking, alcohol-dependence, low physical activity, nutritional problems) in the Hungarian general and Roma populations. The further aim is to develop predictive models (microarray platforms) feasible for individual- and population-level risk assessment by using SNPs that significantly increase cardiovascular susceptibility and having high predictive value. The developed models can be used in identification of individuals and groups at high risk of being susceptible to cardiovascular diseases.
Required language skills: English Further requirements: Social skills and competences:organizational skills, Computer skills and competences :experience in statistical analyses: excellent command of Microsoft Office TM, excellent command of data management and analysis applications