University of Exeter - Genomic Medicine: Transforming Patient Care in Diabetes

Offered byFutureLearn

Genomic Medicine: Transforming Patient Care in Diabetes
at
FutureLearn
Overview

Duration	4 weeks
Total fee	₹2,763
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Genomic Medicine: Transforming Patient Care in Diabetes
at
FutureLearn
Highlights

Duration 4 weeks
Weekly study 2 hours
100% online Learn at your own pace

Genomic Medicine: Transforming Patient Care in Diabetes
at
FutureLearn
Course details

Skills you will learn

Software Testing

More about this course

There have been huge advances in the field of genetics in the last 10 years since the sequencing of the first human genome in 2003. It is now possible to analyse all 20,000 human genes in a single experiment, rather than focussing on one gene at a time. We are in the genomics era.
This free online course will introduce the topic of genomics, using the University of Exeter's research expertise in diabetes, to illustrate the clinical application of current genomics knowledge.
We will use patient experiences to discuss the impact and value of a genetic diagnosis for diabetes for patients, their families and the clinicians responsible for their care. You will learn about the value of understanding the underlying pathological mechanism of a disease, to enable the progression from genomic testing to improvements in clinical care.
You will learn about: the different modes of inheritance for diabetes, including polygenic, monogenic, mitochondrial and epigenetic; the molecular basis of these inheritance patterns; and how this relates to risk for individuals, families and populations.
You will be taken through the process of discovering novel genetic mutations in the genome, including intergenic regions, previously thought to play a minor role in gene function. This will include thinking about the pattern of inheritance, to design a strategy for gene discovery, through to the latest laboratory techniques used for genomic sequencing.
There will also be an introduction to the bioinformatics resources and techniques used to interpret the wealth of genomic data generated by the techniques described.
We won't be able to join the discussions ourselves, so we hope that the course will be one that develops a strong learning community. We encourage you to participate fully in discussions, to support other learners and to share knowledge where possible, and hope that you will enjoy interacting with and learning from each other in this way.