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【学术报告】研究生灵犀学术殿堂第177期之Jingyu Liu报告会通知
2017-06-20 09:48   研工部 审核人:   (点击: )

全校师生:

我校定于2017年6月21日举办研究生灵犀学术殿堂——Jingyu Liu报告会,现将有关事项通知如下:

1.报告会简介

报告人:Jingyu Liu 教授

时 间:2017年6月21日(星期三)下午 14:30

地 点:正禾宾馆西三楼会议室

主 题:Challenges and opportunities in Imaging Genetics in Psychiatry

内容简介: Since the approach of imaging genetics was first applied to psychiatry in early 2000, prominent advances have been documented along with excitement and frustration. Using schizophrenia as an example, GWASs leveraging unprecedented large samples have produced much reliable genetic risk variants for the disorder, while ENIGMA projects present resourceful genetic links with brain structure. Yet combining these two, no clear overlapping genetic architecture was observed, at least so far. Different research groups have different takes for the current status, and we believe it promotes sophisticated analytic methods, refined phenotypic angles, and in-depth biological model along genetics to brain while conducting imaging genetic analyses. We have demonstrated shared genetic risk for schizophrenia and brain structure in 6p22.1 through mutlivariate association analyses, and verified such genetic risks’ regulation role on DNA methylation and gene expression. And the risk alleles for schizophrenia derived from post-mortem brain tissues are consistent with the risk alleles for gray matter reduction of patients derived from in-vivo imagining. In parallel, we also investigated genetic regulated epigenetics, specifically DNA methylation Quantitative Trait Loci (mQTL), and methylation association with brain structure. We showed that epigenetics, incorporating both genetic risks and environmental factors, carry much stronger connections with brain than SNPs, and many of epigenetic variation regulated by genetics have cross tissue (brain, blood and saliva) correspondence, which opens up a way for future imaging-genetic analyses for psychiatric disorders.

2.欢迎各学院师生前来听报告。报告会期间请关闭手机或将手机调至静音模式。

党委研究生工作部

电子信息学院

2017年6月19日

报告人简介

Jingyu Liu received the Master degree in electrical engineering from the Northern Jiaotong University, Beijing, China, and the Ph.D. degree in electrical engineering from the University of New Mexico (UNM), USA, in 2004. She is currently Associate Professor in Translational Neuroscience at Mind Research Network, Albuquerque, NM, and Research Professor in the Department of Electrical and Computer Engineering, UNM. Her research interests include design of multimodal data mining algorithms applied to biomedical data, such as brain imaging and signals, genetic and epigenetic data, clinical and neuropsychological assessments, etc. She has been focusing on the interdisciplinary research field to bridge engineering with neuroscience, and (epi)genetics, and has published more than 60 scientific journal papers, and led NIH supported projects for investigation of genetic influences on brain anomalies related to schizophrenia, ADHD, addiction, and Huntington’s disease.

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