Neurogenomics at scale: Expanding the computational toolbox to uncover novel genetic and epigenetic determinants of neurodegenerative disease

Publication date

2025-03-13

Authors

Hop, Paul J.

Editors

Advisors

Supervisors

Veldink, JanORCID 0000-0001-5572-9657ISNI 0000000392612911
Kenna, Kevin P.

Document Type

Dissertation

Collections

Open Access logo

License

Abstract

The work described in this thesis sought to uncover genetic and epigenetic factors contributing to neurodegenerative disease, identify genes involved in epigenetic regulation, and develop methodology and tools to facilitate this research. This work culminated in the discovery of DNA methylation signatures associated with ALS, novel rare variants contributing to ALS and Parkinson’s disease, and genes involved in DNA methylation regulation. Additionally, it describes the development of methodology and R packages to enhance the quality control and analysis of large-scale DNA methylation and sequencing datasets.

Keywords

genetics, epigenetics, genomics, epigenomics, amyotrophic lateral sclerosis, ALS, Parkinson's disease, PD, bioinformatics, neurodegenerative disease

Citation

Hop, P 2025, 'Neurogenomics at scale : Expanding the computational toolbox to uncover novel genetic and epigenetic determinants of neurodegenerative disease', UMC Utrecht, Utrecht. https://doi.org/10.33540/2787