Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.769709
Title: Global analysis of human genetic variations in protein-coding regions
Author: Alhuzimi, Eman
ISNI:       0000 0004 7659 049X
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2019
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Abstract:
Do genes enriched in genetic variations that have been linked to human disease have different biological properties than genes enriched in variants that have never been related to disease? What are the characteristics of genes enriched in rare variants, and can they represent the missing link in disease aetiology? The answers to these questions could shed light on the architecture of pathogenesis process and may improve the future studies of genetic disorders. To that end, we analysed 481,277 rare variants (minor allele frequency < 0.01), 81,822 common variants (minor allele frequency ≥0.01), and 26,884 disease-causing variants occurring in the coding region of 17,975 human protein-coding genes. Three novel sets of genes were identified: genes enriched in rare variants (32 genes), genes enriched in common variants (282 genes), and genes enriched in disease-causing variants (800 genes). Our analysis presented consistent results obtained from several well-established tools which showed that genes enriched in rare variants have far greater similarities in the biological and network properties to genes enriched in disease-causing variants, than to genes enriched in common variants. Thus, genetic variants in these genes are strong candidates for disease, and their identification should prompt further in vitro analyses as they may represent the missing link in disease heritability. All the data used in the analysis in addition to other biological data will be publicly available through the development of a dedicated database and website. We expect the website to become the foundation for understanding the molecular details of the different types of genetic variants, which in turn will be of a great benefit to the medical community.
Supervisor: Sternberg, Michael Sponsor: King Abdulaziz City for Science and Technology
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.769709  DOI:
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