Genome Wide Association Studies|High-throughput sequencing|Genetic Epidemiology|Genetic Discovery

In this course, with limited knowledge of statistical genetics you will learn how to curate and quality control genetic data from various platforms (such as...

Computational Genetics of Healthcare (CHME0034)

In this course, with limited knowledge of statistical genetics you will learn how to curate and quality control genetic data from various platforms (such as SNP-microarray and next generation sequencing), perform a range of applied analysis methods, critically interpret and evaluate results and relate findings to current knowledge from literature and public databases. The focus is on current applied methodologies within the field of human genetics (discovery and genetic epidemiology), with a strong emphasis on practical application of methods and genetics software, alongside lectures introducing the needed background knowledge. This is an intensive practical course for anyone wanting to have hands-on experience of application of the latest methodology within human genetics.

By the end of the module you should be able to:


	Understand the major sources of genetic variation in the genome
	
	
	Perform and understand importance of quality control of genetic genotyping output
	
	
	Infer the genetic architecture of a trait using results from association studies and whole genome approaches.
	
	
	Design and analyse a basic genome-wide association study using appropriate software.
	
	
	Consider population structure and its application to genetic association studies.
	
	
	Work with a range of genetic data types: e.g. genotyped, imputed, sequenced, polygenic risk scores.
	
	
	Utilise online bioinformatic resources to explore the functional properties of genetic variation.
	
	
	Apply results from genetic association studies to investigate genetic correlation and causality in epidemiological associations.
	
You will learn though a combination of lectures, invited speakers, computer-based practicals and group work.