This module will examine a representative selection of German literature from the Enlightenment to the late nineteenth century, focusing on the question of how...

Debating Enlightenment: Literature and Culture 1740-1870 (GERM0014)

This module provides a background to cardiovascular disease (CVD) and other related complex diseases and outlines how genetics contributes to the development...

Genetics of Cardiovascular and Related Complex Diseases (GENE0002)

This module provides a background to cardiovascular disease (CVD) and other related complex diseases and outlines how genetics contributes to the development of these common disorders. The module covers both polygenic and monogenic forms of CVD and details how genetics may assist in CVD risk prediction in the future and personalised drug treatment.



In addition to lectures, the module includes a number of exercises (Journal Club presentations, abstract review, grant writing) designed to help students develop key academic skills and acquire invaluable experience for their future career.

After taking this module you should be able to:

Describe the principles of Cardiovascular Genetics and Epidemiology and the role in health and disease.
 Understand current research and problems/ insights related to CVD.
 Demonstrate critical thinking skills in terms of solving problems, evaluating methodologies and interpreting results.
Indicative lecture topics (based on 2019/20 syllabus)

Epidemiology of Cardiovascular Disease
 Genome-wide association studies and CHD
 Genetics of Hypertension and Stroke
 Genetic architecture of LDL-C: The major CHD risk factor
 Genetics of sudden death: inherited cardiomyopathies
 Monogenic Forms of CHD
 Mendelian Randomisation – using genetics to determine causality
 Genetic testing for CVD
 Genetics of mitochondrial disease
 Next generation molecular treatments for cardiovascular disease
 Genetics of iron metabolism and cardiovascular disease risk
 100,000 genomes project
 Genetics of obesity
 Gene therapy
 Genetics of sudden death: inherited arrhythmias
 Statistical analysis of complex disease phenomenon
 Genetics of Type 2 Diabetes
 Future of genetics in medicine