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.
More details about Rob’s research are available in the following papers:
Enhanced methods to detect haplotypic effects on gene expression Journal Article
In: Bioinformatics, pp. btx142, 2017.
Leveraging ancestry to improve causal variant identification in exome sequencing for monogenic disorders Journal Article
In: European Journal of Human Genetics, 24 (1), pp. 113-119, 2016.
Leveraging ancestry to improve causal variant identification in exome sequencing for monogenic disorders. Journal Article
In: Eur J Hum Genet, 24 (1), pp. 113-9, 2015, ISSN: 1476-5438.
Enhanced methods for local ancestry assignment in sequenced admixed individuals Journal Article
In: PLoS Computational Biology, 10 (4), pp. e1003555, 2014.