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Thesis

Methods to jointly analyze multiple phenotypes

Abstract:

Linear mixed models (LMMs) have re-emerged as a central tool in statistical genetics. Fixed effects capture genetic variants tested for association. Random effects leverage aggregate relatedness while remaining agnostic to specific genetic mechanisms, naturally modeling heritability and controlling for polygenic background and confounding from population or family structure in genome-wide association studies (GWAS). Multiple random effects can partition heritability amongst many bio...

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Role:
Contributor, Author

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Supervisor
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Grant:
099680/Z/12/Z
Funding agency for:
Andrew Dahl
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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