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Integrating Genome-Wide Association and Blood Genomic Profiling Data to Characterise Migraine Risk Loci
Author(s) -
Zachary Gerring
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.5204/thesis.eprints.112796
Subject(s) - migraine , dna methylation , genetic association , computational biology , gene , biology , bioinformatics , genetics , medicine , genotype , gene expression , single nucleotide polymorphism
This thesis involved a multi-staged integrated study of gene expression, DNA methylation, and DNA sequence variation data in a large sample of migraine cases and non-migraine controls. The analysis and integration of these data identified molecular perturbations associated with migraine, and prioritised migraine susceptibility genes for further functional characterisation. The use of multiple molecular data to study existing migraine loci has the potential to provide a substantial contribution to understanding the underlying genetic architecture and biological mechanisms of migraine, and may help in the development of diagnostic tests and new targets for drug therapy

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