Comparing and developing statistical methods for fine-mapping genes in complex diseases

Spencer, Amy Victoria (2014) Comparing and developing statistical methods for fine-mapping genes in complex diseases. PhD thesis, University of Sheffield.


Supervisors: Walters, Kevin and Cox, Angela
Publicly visible additional information: Papers based on work in thesis: Spencer, A. V., Cox, A. and Walters, K.: Comparing the Efficacy of SNP Filtering Methods for Identifying a Single Causal SNP in a Known Association Region; Annals of Human Genetics 78(1) (2014) Spencer, A. V., Cox, A., Lin, W.-Y., Easton, D., Michailidou, K. and Walters, K.: Novel Bayes Factors That Capture Expert Uncertainty in Prior Density Specification in Genetic Association Studies; revised version under review at Genetic Epidemiology at time of submission
Keywords: statistics; genetics; data analysis; fine-mapping; likelihood; single nucleotide polymorphism; complex disease; causal variants; LD; p-value; expert knowledge; elicitation; association studies; Bayes factors
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Identification Number/EthosID:
Depositing User: Mrs Amy Victoria Spencer
Date Deposited: 05 Sep 2014 10:00
Last Modified: 25 Sep 2019 20:01


Thesis of Amy Victoria Spencer

Filename: EditedThesisFinal.pdf

Description: Thesis of Amy Victoria Spencer

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