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Title : Translating knowledge gained from alternative splicing into precision medicine tools

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Abstract¡¡: Precision medicine aims to provide tailored guidelines for treatment based on the patient¡¯s genomic makeup. We are steadily approaching this goal as it is becoming possible to obtain full DNA sequence information for each patient. In addition, the availability of epigenetic information, quantitative gene expression, and regulatory information makes it easier to choose the best treatment for a patient. The challenge is not only in linking together all these different types of data that are available for researchers, but also in translating these data into biological and clinical knowledge. In this talk, I will introduce alternative splicing as an opportunity and basis for new methods in precision medicine. Alternative splicing regulates gene expression and is a key cellular mechanism that generates diverse protein isoforms from a single gene. I will explain bioinformatics approaches that have integrated diverse ¡°omics¡± data (e.g. genetic variation such as single nucleotide polymorphisms, non-genetic variation such as DNA methylation, and gene expression), to discover the systems-level properties of human disease with emphasis on alternative splicing. At the end of the presentation, I will discuss how the bioinformatics approach we have developed may shape molecular approaches to precision medicine.

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Education

PhD, Bioinformatics(Dissertation: Functional annotation of the human genome) 02/2007

Ewha Womans University Seoul, Korea


Professional experience

Department of Biomedical Informatics, School of Medicine, University of Utah¡¡09/2015-present¡¡Assistant Professor

Vice President¡¯s Clinical & Translational (VPCAT) Research Scholar Program (2016-2017)

Department of Medicine,University of Chicago¡¡04/2010-06/2015

Research Associate (Assistant Professor)

Clinical and Translational Science Award (CTSA) K12 Career Scholar Award(Mentors: Nancy J Cox and Olufunmilayo I. Olopade)

Department of Medicine, University of Chicago¡¡07/2007-03/2010

Postdoctoral Fellow¡¡(Supervisor: Yves A Lussier)

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Selected Publications

1. Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases,¡¡Younghee Lee, H. Li, J. Li, E. Rebman, I. Achour, K. Regan, E. Gamazon, N. J. Cox, and Y. A. Lussier.¡¡J Am Med Inform Assoc. 2013.

2. Variants affecting exon skipping contribute to complex traits,¡¡Younghee Lee*,E. J. Gamazon, E. Rebman, Y. Lee, S. Lee, M.E. Dolan, N. J. Cox, and Y. A. Lussier.¡¡(*Corresponding authors)¡¡PLoS Genetics. 2012.

3. Complex disease networks of trait-associated SNPs unveiled by information theory, H. Li*,¡¡Younghee Lee*,J. Li, J. L. Chen, E. Rebman, K. Regan, and Y. A. Lussier.¡¡(*Co-first authors)¡¡J Am Med Inform Assoc. 2012.

4. Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis,Younghee Lee, X. Yang, Y. Huang1, H. Fan, Q. Zhang, Y. Wu, J. Li, R. Hasina, C. Cheng, M. Lingen, M. Gerstein, R. Weichselbaum, H. R. Xing, and Yves A. Lussier.¡¡PLoS Comput Biol. 2010.

5. Stromal microenvironment processes unveiled by biological component analysis of gene expression in xenograft tumor models, X. Yang*,¡¡Younghee Lee*,Y. Huang, J. L. Chen, H.R. Xing, and Y. A. Lussier.¡¡BMC Bioinformatics. 2010.(*Co-first authors)

6. ECgene: an alternative splicing database update,Y.S. Lee*,¡¡Younghee Lee*,B.J. Kim*, Y.A. Shin, S.Y. Nam, P.R. Kim, N.S. Kim, W.H. Chung, J.S. Kim, and S.H. Lee.¡¡(*Co-first authors)¡¡Nucleic Acids Res.2007.

7. ECgene: genome annotation for alternative splicing, P.R. Kim*, N.S. Kim*,¡¡Younghee Lee*,B.J. Kim*, Y.A. Shin, and S.H. Lee.¡¡(*Co-first authors)¡¡Nucleic Acids Res.¡¡2005.

8. Intergenic and intragenic polymorphisms associated with a disease share common biological mechanisms, H. Li, I. Achour, V.Gardeux, J.Li, L.Bastarache,Younghee Lee, L.Pesce, X.Yang, K.S. Ramos, I.Foster, J. C. Denny, J.H. Moore, and Y.A. Lussier.¡¡Nature Genomic Medicine. 2016

9. Novel variation at 9p21.3 functionally implicates CDKN2B in the etiology of pediatric B-cell precursor acute lymphoblastic leukemia, E. A Hungate, S. R Vora, E. R Gamazon, H. Xu, T. Best, I. Hülür,¡¡Younghee Lee, E. Ellinghaus, L. Orsi, J. Clavel, E. Milne, M. L Loh, J. J Yang, N. J Cox, A. D Skol, and K. Onel¡¡Nature Communications. 2016

10. Hidden Dangers: A cryptic exon disrupts BRCA2 mRNA, J. D. Fackenthal,¡¡Younghee Lee, O. I. Olopade.¡¡Clinical Cancer Res.2012.

11. MicroRNA expression characterizes oligometastase,Y. A. L., J. K. Salama, N. Khodarev, H. R. Xing, Y. Huang, M. D. Hasselle, Q. Zhang, R. Malik, T. E Darg, H. Fan, S. Perakis, M. Filippo, X. Yang,¡¡Younghee Lee, S. J. Chmura, S. Hellman, R. R. Weichselbaum.¡¡PLoS ONE. 2011.

12. GO-Module: Functional synthesis and improved interpretation of gene ontology patterns, X. Yang, J. Li,¡¡Younghee Lee, and Y. A. Lussier.¡¡Bioinformatics. 2011. 27(10):1444-6.

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Awards, fellowships, and scholarships

•¡¡One of the 25 best translational bioinformatics, American Medical Informatics Associations (AMIA) Summit on Translational Bioinformatics (STBI)2010, 2013

•¡¡Clinical and Translational Science Award (CTSA) K12 Career Scholar Award 20122014

•¡¡First place paper,2ndAnnual Translational Bioinformatics (TBC)2012

•¡¡Charles J. Epstein Trainee Award-Finalist, American Society of Human Genetics (ASHG)2012

•¡¡First place, Best in Show of the Department of Medicine Research Day, University of Chicago 2011

•¡¡Selected as a highlights of this year, Intelligent Systems for Molecular Biology (ISMB)2011

•¡¡One of the 5 distinguishedpapers, AMIA Annual Symposium 2011

•¡¡Selected as a late breaking news, AMIA STBI

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