Hui Shen is a geneticist with specific training and expertise in genomics and epigenomics of human complex disorders. His current research interests focus mainly on identifying and characterizing genetic and epigenetic variation that affects susceptibility to complex human disorders, such as osteoporosis and sarcopenia. He is now expanding his research area into the cutting-edge metagenomics of osteoporosis and sarcopenia. He teaches BINF 7500 Epigenetics and Epigenomics and BINF 7010 Population and Quantitative Genetics. Prior to joining the faculty at Tulane, he was an assistant professor at University of Missouri-Kansas City and a postdoctoral researcher at Yale University. He received his doctor of philosophy in human genetics from the Creighton University and his bachelor of science in molecular biology from University of Science and Technology of China.
Memberships
Level of Instruction:
graduate
Center Section: Epigenomics
My research interests are mainly focused on identifying and characterizing genetic and epigenetic variation that affects susceptibility to complex human disorders, such as osteoporosis and sarcopenia. Toward these ends, we are integrating multidisciplinary approaches including genetic epidemiology, functional genomics, epigenomics, proteomics, bioinformatics, and molecular biology. We recently performed an epidgenome-wide MeDIP sequencing (MeDIP-Seq) study to identify differentially methylated regions associated with osteoporosis. We also performed several pioneering sequencing-based projects, including a whole genome sequencing study and an exome sequencing project for osteoporosis in different ethnic groups, using the next-generation sequencing technologies. The successful identification and characterization of genetic and epigenetic variations underlying osteoporosis and sarcopenia will markedly increasing our understanding of disease pathophysiology and may lead to novel and individualized treatment.
Genomics, Epigenomics, Metagenomics of human complex disorders
View Dr. Shen's publications at his NCBI profile page.
