Related Experiment Videos
Environmental factor dependent maximum likelihood method for association study targeted to personalized medicine
T Tsunoda1, R Yamada, T Tanaka
1SNP Research Center, Institute of Chemical and Physical Research (RIKEN), Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato, Tokyo 108-8639, Japan. tatsu@ims.u-tokyo.ac.jp
Genome Informatics. Workshop on Genome Informatics
|November 9, 2001
Abstract:
The most challenging strategy for analyzing genome-wide polymorphisms and/or expression profiles is to solve multi-factor causal-relationship simultaneously. As the first step, we propose a framework of association study using maximum likelihood method that simultaneously handles genetic polymorphisms and epi-genetic information, e.g. environmental factors. We evaluate the theory by applying it to genotyped data of myocardial infarction (MI) patients.