Methods for brain disease genetics using gene expression data of the healthy brain

Doctoral Thesis (2020)
Author(s)

SMH Huisman (TU Delft - Pattern Recognition and Bioinformatics)

Research Group
Pattern Recognition and Bioinformatics
Copyright
© 2020 S.M.H. Huisman
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Publication Year
2020
Language
English
Copyright
© 2020 S.M.H. Huisman
Research Group
Pattern Recognition and Bioinformatics
ISBN (print)
978-94-6380-844-6
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Abstract

Medical studies are rarely easy, and it is especially challenging to understand brain disease. Brains are highly complex organs, and it is, for instance, hard to see the relationships between behavioural change in a person and the changes in the connections among the billions of cells in the brain that cause this behavioural change. Many brain related disorders, such as autism, schizophrenia, and Alzheimer's disease, have some genetic basis. They are influenced by small differences in people's genetic code, which are called variants. Genetic variants can cause differences in the activity or effectiveness of genes. And if genes are involved, knowing which genes these are, and what effect they have can help to find treatments for these diseases.

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