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Novel therapeutics for complex diseases from genome-wide association data

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thesis
posted on 2016-10-01, 00:00 authored by M Grover
The development of novel therapies is essential to lower the burden of complex diseases. The purpose of this study is to identify novel therapeutics for complex diseases using bioinformatic methods. Bioinformatic tools such as candidate gene prediction tools allow identification of disease genes by identifying the potential candidate genes linked to genetic markers of the disease. Candidate gene prediction tools can only identify candidates for further research, and do not identify disease genes directly. Integration of drug-target datasets with candidate gene data-sets can identify novel potential therapeutics suitable for repositioning in clinical trials. Drug repositioning can save valuable time and money spent in therapeutic development of complex diseases.

History

Pagination

xi, 133 pages : figures, tables, some coloured, appendices

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

PhD.

Copyright notice

The Author. All Rights Reserved

Editor/Contributor(s)

M Wouters, C Sherman, T Crowley Tamsyn

Faculty

Faculty of Health

School

School of Medicine