서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니,　많은 참여 바랍니다.

일시: 2015. 9. 23.(수) 13:00

연사: Gregory W. Carter　(The Jackson Laboratory)

장소: 25동　411호

Title:　Modeling Complex Traits with Genetic Interactions and Pleiotropy

Abstact:

Two hallmarks of genetic complexity are epistasis, or gene-gene interaction, and pleiotropy, in which one gene affects multiple phenotypes. Understanding the genetic architecture of complex traits requires addressing these phenomena, but interpreting the biological significance of epistasis and pleiotropy is often difficult. Here we address interpretation ambiguities with a method called combined analysis of pleiotropy and epistasis (CAPE). This approach integrates information from multiple related phenotypes to constrain models of epistasis, thereby enhancing the detection of interactions that simultaneously describe all phenotypes. The networks inferred are readily interpretable in terms of directed influences that indicate suppressive and enhancing effects of individual genetic variants on other variants, which in turn account for the variance in quantitative traits. We apply this approach to mouse models and human breast cancer data to obtain specific hypotheses for cancer subtypes and reveal fundamental features of genetic architecture. CAPE is implemented in an R package that can be applied to data from both genetic screens and segregating populations.

Bio:

Dr. Greg Carter is an Assistant Professor at the Jackson Laboratory in Bar Harbor, Maine, USA. He received a B.S. in physics from Case Western Reserve University and a PhD in theoretical physics from the University of Minnesota, and has held research positions in physics at the Niels Bohr Institute, Stony Brook University, and the University of Washington. In 2003, he joined Dr. Tim Galitski’s lab at the Institute for Systems Biology, where he developed novel computational approaches to understanding genetic interaction networks that govern yeast cell differentiation. Dr. Carter arrived at the Jackson Laboratory in 2010, where his lab specializes in the development and application of new computational strategies to discover genetic networks in human diseases and model organisms.

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최