@misc{Adamski_Mateusz_G._Selected_2014,
 author={Adamski, Mateusz G.},
 address={Kraków},
 howpublished={online},
 year={2014},
 school={Wydział Lekarski},
 language={pol; eng},
 abstract={Stroke annually affects about 8 million people worldwideand is one of the leading causes of death and disability. In Poland stroke affects approximately 60,000 people per year. Among all strokes about 87% are ischemic strokes, 10% are intracerebral hemorrhages, and 3% are subarachnoid hemorrhages. Evidence for a genetic basis for stroke is derived from studies of twins and relatives of people who have had a stroke.The purpose of this thesis was to analyze the role of selected polymorphisms of three candidate genes as potential risk factors for stroke in the Polish population and to summarize the current knowledge on monogenic diseases that cause stroke. Polymorphisms of three selected genes were analyzed in this study. Three common polymorphisms in plasminogen activator inhibitor-1 (PAI-1) gene (-844 G/A, -675 4G/5G, and HindIIIG/C) were studied in patients with ischemic stroke due to large vessel disease, small vessel disease or cardioembolism. Glycoprotein IIIa (GpIIIa) gene A1/A2 polymorphism was studied in patients with hemorrhagi cstroke caused by rupture of an aneurysm. Angiotensin II type 1 receptor (AGTR1) gene A1166C polymorphism wasstudied in patients with hemorrhagic stroke, caused by the two most common types: intracerebral hemorrhage and subarachnoid hemorrhage. A-G-4G haplotype of PAI-1 gene was found to be associated with an increased risk of ischemic stroke in s},
 abstract={mall vessel disease in the Polish population. The GpIIIa A1/A2 polymorphism was not a risk factor of aneurysmal subarachnoid hemorrhage in the Polish population. AGTR1A1166C gene polymorphism was not a risk factor for hemorrhagic stroke, while the AA genotype proved to be associated with better outcome in aneurysmal subarachnoid hemorrhage in the Polish population.},
 title={Selected aspects of stroke genetics},
 type={Praca doktorska},
 keywords={stroke, SNP, risk factors},
}