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Bioinformatics Strategies for Multidimensional Brain Imaging Genomics

日期：2014-08-01 阅读：851

【报告题目】Bioinformatics Strategies for Multidimensional Brain Imaging Genomics

【报告人】Li Shen (沈理)博士

【邀请人】王乾博士

【时间】8月6日下午3点

【地点】Med-X 218会议室

【内容简介】Today's generation of multi-modal imaging systems produces

massive high dimensional data sets, which when coupled with high through put

genotyping data such as single nucleotide polymorphisms (SNPs), provide

exciting opportunities to enhance our understanding of phenotypic

characteristics and the genetic architecture of human diseases. However, the

unprecedented scale and complexity of these data sets have presented

critical bottlenecks requiring new concepts and enabling tools. In this

talk, using the quantitative genetics study of the Alzheimer's Disease

Neuroimaging Initiative (ADNI) data as an example, we discuss the recent

development of bioinformatics strategies for multidimensional brain imaging

genomics. We review and synthesize ADNI genetic associations with disease

status or quantitative disease endophenotypes including structural and

functional neuroimaging, fluid biomarker assays, and cognitive performance.

We briefly discuss the diverse analytical strategies used in these studies, and present a very recent study on transcriptome-guided

amyloid imaging genetic analysis via a novel structured sparse learning

algorithm. We perform pathway and network enrichment analyses of these ADNI

genetic associations to highlight key mechanisms that may drive disease

onset and trajectory. We show that the broad availability and wide scope of

ADNI genetic and phenotypic data has advanced our understanding of the

genetic basis of AD and has nominated novel targets for future studies.

【报告人简介】Dr. Li Shen holds a B.S. degree from Xi'an Jiao Tong

University, an M.S. degree from Shanghai Jiao Tong University, and a Ph.D.

degree from Dartmouth College, all in Computer Science. He is an Associate

Professor of Radiology and Imaging Sciences at Indiana University (IU)

School of Medicine. He is a member of both the IU Center for Neuroimaging

(CfN) and Center for Computational Biology and Bioinformatics (CCBB). He is

also affiliated with Department of Computer and Information Science, School

of Informatics and Computing, and Department of Biostatistics. His research

interests include medical image computing, bioinformatics, data mining, and

morphometric analysis. The central theme of his lab is focused on developing

computational and informatics methods for integrative analysis of multimodal

imaging data, high throughput "omics" data, fluid and cognitive biomarker

data, and rich biological knowledge such as pathways and networks, with

applications to various complexd isorders. The ultimate goal is to improve early diagnosis and mechanistic

understanding of disease processes and treatment response. His research is

primarily funded by NIH (NLM, NIA, NIBIB, NIAAA), NSF and DOD. Further

information about Dr. Shen's research activities is available at http://www.iu.edu/~shenlab/.

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