American Statistical Association
The current paradigm of genetic association studies, where large cohorts are analyzed genome-wide using single marker tests, has reached its limitation. New study designs and analysis tools are needed for a better understanding of disease risk. We present here statistical models and methods for addressing some of the challenges that arise with the new data types, including those from next generation sequencing. Functional set analysis for genetic association will be introduced, and we will demonstrate how it can lead to a better understanding of phenotype genetic architecture. We will also present a new framework for the analysis of sequence data where we harness population genetics theory to provide prior information on effect sizes that allows a general and powerful test for association.
Dan Nicolae obtained his PhD in statistics from The University of Chicago and has been a faculty member at the same institution since 1999, with appointments in Statistics (since 1999) and Medicine (since 2006). His research focus is on developing statistical and computational methods for understanding the human genetic variation and its influence on the risk for complex traits, with an emphasis on inflammatory bowel disease and asthma related phenotypes. The current focus in his statistical genetics research is centered on data integration. Topics of interest include association methods for next-generation sequencing, networks and disease architecture, and Bayesian and frequentist measures of relative information.
|Date:||Thursday, February 17, 2011|
|Time:||4:00 - 5:00 P.M.|
Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
Biostatistics Computer Lab
6th Floor - Room 656
New York, New York