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Thesis

Using Mendelian randomization and genetic epidemiology strategies to elucidate novel causal biological mechanisms and pathways connecting risk factors with disease outcomes

Abstract:

Cardiometabolic diseases, including type 2 diabetes (T2D), non-alcoholic fatty liver disease (NAFLD), and coronary artery disease (CAD), impose a significant global health burden due to their shared risk factors and complex etiology. Despite advancements in treatment, therapeutic development has been hindered by an incomplete understanding of the shared mechanisms driving these diseases. This thesis leverages advanced genetic methodologies and multi-omics approaches to elucidate disease mecha...

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Institution:
University of Oxford
Division:
MSD
Oxford college:
Linacre College
Role:
Author

Contributors

Institution:
University of Bristol
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Oxford Centre for Diabetes, Endocrinology and Metabolism
Research group:
Ray Group
Oxford college:
Wolfson College
Role:
Supervisor
ORCID:
0000-0002-4739-6773
Institution:
National Institutes of Health
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Oxford Centre for Diabetes, Endocrinology and Metabolism
Oxford college:
Keble College
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Population Health
Role:
Examiner
ORCID:
0000-0003-3139-1836


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


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