发布时间 :2015-11-26  阅读次数 :2684

报告题目:Integrative analysis of metabolomics and epigenetics using the ELEMENT cohort

报 告  人:   Prof. Peter Song

Dept. of Biostatistics, University of Michigan

报告时间:  12月4日12:00

报告地点:  生命科学技术学院树华多功能厅

联 系  人:俞章盛 This e-mail address is being protected from spambots. You need JavaScript enabled to view it.



Biological pathway plays the central role in translational medicine.  Association analysis of epigenome and metabolome involves high-throughput, high-dimensional data, which presents a great analytic challenge for biostatisticians to overcome in order to minimize false discovery rate. In this talk, I will present an association analysis of blood leukocyte DNA methylation with plasma metabolite levels in peripubertal children based on a cross-sectional dataset from the Early Life Exposures in Mexico to Environmental Toxicants (ELEMENT) cohort. Methodological illustration will be given throughout the talk.



Dr. Song received his PhD in Statistics from the University of British Columbia, Vancouver, Canada in 1996. Dr. Song‘s research interests include bioinformatics, longitudinal data analysis, and statistical genetics. Dr. Song was awarded to prestigious John von Neumann’s Professorship at Technical University of Munich, Germany in 2013. He was an Elected Member of International Statistical Institute. Dr. Song now serves as an Associate Editor of Canadian Journal of Statistics, Statistica Sinica, and Sankhya.