Quantile Regression in Genetic studies

Thursday, November 8, 2018 - 11:10am - 11:40am
Lind 305
Ying Wei (Columbia University)
Over the past decade, there has been a remarkable improvement in our understanding of the role of genetic variation in complex human diseases. Discovery the genetic variants that have significant associations with various diseases, phenotypes and treatment responses is the key step towards the development of precision therapeutic interventions. While most genetics studies focus on identifying mean effects on gene expression using linear regression, several recent studies suggest that genetic variation can impact the entire distribution of biomarkers and the expression levels. Hence, quantile regression, which models the quantiles of a response variable conditional on explanatory covariates, has great potential for new discoveries in genetics. In this talk, we will present and discuss several case studies on recent applications of quantile regression in genetic studies, with a focus on eQTL discoveries.