Functional genomics of developmental disorders
type: CreativeWork
description: DNA methylation, or the epigenetic modification of primarily cytosine bases within DNA to 5-methylcytosine through the addition of a methyl group, is an epigenetic mark with a variety of biological and cellular roles. Genetic and environmental influences can perturb DNA methylation patterns in humans, and the set of differentially methylated CpG sites perturbed can be collectively called a DNA methylation signature. In this thesis, I characterise DNA methylation signatures as a diagnostic biomarker for children with rare developmental disorders in chromatin-modifying genes. I show that DNA methylation signatures are a general property of these genes, that they have substantial clinical and diagnostic utility, and that they can be used to resolve variants of uncertain significance. I also show that these signatures are robust across scientific centres and can be generated across multiple tissues. Lastly, I compare DNA methylation signatures generated from methylation microarrays to those generated from genome-wide long read sequencing data, and provide evidence that long read sequencing is a reliable and scalable method to profile 5-methylcytosine for DNA methylation signature-based classification. Overall, my work emphasises the need for scalable, cost-effective, and relatively high-throughput biomarkers in the characterisation and diagnosis of rare developmental disorder syndromes.
abstract: DNA methylation, or the epigenetic modification of primarily cytosine bases within DNA to 5-methylcytosine through the addition of a methyl group, is an epigenetic mark with a variety of biological and cellular roles. Genetic and environmental influences can perturb DNA methylation patterns in humans, and the set of differentially methylated CpG sites perturbed can be collectively called a DNA methylation signature. In this thesis, I characterise DNA methylation signatures as a diagnostic biomarker for children with rare developmental disorders in chromatin-modifying genes. I show that DNA methylation signatures are a general property of these genes, that they have substantial clinical and diagnostic utility, and that they can be used to resolve variants of uncertain significance. I also show that these signatures are robust across scientific centres and can be generated across multiple tissues. Lastly, I compare DNA methylation signatures generated from methylation microarrays to those generated from genome-wide long read sequencing data, and provide evidence that long read sequencing is a reliable and scalable method to profile 5-methylcytosine for DNA methylation signature-based classification. Overall, my work emphasises the need for scalable, cost-effective, and relatively high-throughput biomarkers in the characterisation and diagnosis of rare developmental disorder syndromes.
author: Hampstead, Juliet
language: eng
keywords: Developmental disorders, Genetics, Methylation, Methylation signatures
license: https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/4aa118a7-0a20-46e3-84e6-3ccf9519eb0d/download
license: https://www.rioxx.net/licenses/all-rights-reserved/
date published: 2023-10-01
date modified: 2026-07-22T22:24:16Z
provider: Cambridge University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Cambridge

PropertyValue
property ID: DOI
value: 10.17863/CAM.107502