
January 2019
Biostatistics Seminar: Using genetic data to identify potential causal disease genes
Robert Gentleman, PhD, V.P. of Computational Biology, Leading Computational Biology and Informatics, at 23andMe. “I will discuss some of the problems that arise when using genome wide association data to identify potentially causal genes. I will focus on the statistical issues that arise when identifying variants that associate with changes in gene expression (so-called eQTLs). Especially aspects of identifying unknown batch effects and identifying multiple signals per gene.” Dr. Gentleman’s career has spanned more than 30 years. During his tenure…
Find out more »