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Thesis

Dissecting heterogeneity in GWAS meta-analysis

Abstract:

Statistical heterogeneity refers to differences among results of studies combined in a meta-analysis beyond that expected by chance. On the one hand, excessive heterogeneity can diminish power to discover genetic signals; on the other, moderate heterogeneity can reveal important biological differences among studies. Given its double-edged nature, this thesis dissects heterogeneity in genetic association meta-analyses from three vantage points. First, a novel multi-variant statistic, M is p...

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Department:
Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford
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Author, Copyright Holder

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Department:
Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford
Role:
Supervisor
Department:
Nuffield Department of Population Health, University of Oxford
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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