Tag: thesis defense

Thesis Defense: Dr. Robert Brown

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Robert Brown successfully defended his thesis, “Methods and Models for the Analysis of Human Genetic Data,” on Wednesday, May 24, 2017 in Boelter 4760. His talk, which is posted on our YouTube channel ZarlabUCLA, discusses methods to better assess how human history affects genetics and how genetics affect human phenotypes such as height, eye color, and disease risk. Dr. Brown’s thesis presents five novel methods that build upon each other to analyze today’s large-scale human genetic data.

Dr. Robert Brown with his thesis committee. (L-R) Kirk Lohmueller, Janet Sinsheimer, Eleazar Eskin, Robert Brown, Bogdan Pasaniuc (committee chair), and Rita Cantor.

More details about Rob’s research are available in the following papers:

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YouTube: Robert Brown Thesis Defense

Thesis Defense: Dr. Farhad Hormozdiari

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Farhad Hormozdiari successfully defended his thesis,”Statistical Methods to Understand the Genetic Architecture of Complex Traits,” on Tuesday, May 17, 2016 in Boelter 4760. His talk, which is posted on our YouTube channel ZarlabUCLA, discusses methods for applying CAVIAR to understand the underlying mechanism of GWAS risk loci, introduces eCAVIAR, a statistical method capable of computing the probability that the same variant is responsible for both the GWAS and eQTL signal, while accounting for complex LD structure, and proposes an approach called phenotype imputation that allows GWAS computation on a phenotype that is difficult to collect.

 

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More details about Farhad’s research are available in the following papers:

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Thesis Defense: Dr. Jong Wha (Joanne) Joo

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Jong Wha (Joanne) Joo successfully defended her thesis,”Design of efficient and accurate statistical approaches to correct for confounding effects in genetic association studies,” on Friday, December 4, 2015 in Boelter 4760.  Her talk, which is posted on our YouTube channel ZarlabUCLA, discusses using a mixed model analysis (GAMMA) to efficiently analyzes large numbers of phenotypes while simultaneously considering population structure, an expression quantitative trait loci (eQTL) mapping tool to eliminate spurious hotspots while retaining genuine regulatory hotspots, and a multiple testing correction method (slideLMM) for linear mixed models.
More details about her research are available in the three papers she discusses:

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