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Challenges and Opportunities in Precision Medicine

Special Session at GLBIO 2017


Advances in computing have created a data-driven revolution in biology and promises to guide the development of precision medicine. This special session will bring together scientists from biology and computer science to explore emerging topics in personalized medicine. This session is timely given the new Precision Medicine Initiative by the NIH. It will consist of two exciting sub-sessions. The first sub-session will explore genomics research in underserved human populations and sex differences in complex traits. The second session will highlight the broad spectrum of challenges and opportunities in precision medicine, including translational genomics, electronic health record (EHR) analytics, and drug discovery.

Monday, May 15, 2017

Sub-session 1:
Precision Medicine for All
8:00 - 10:30 AM

Genomic studies that focus on potential population and sex differences are crucial to ensure the community does not contribute to healthcare disparities. How the genetic architectures of complex traits vary between populations is not well understood, in part due to the historical paucity of genome-wide association studies in populations of non-European ancestry. The genetic contribution to population phenotypic differentiation is driven by differences in causal allele frequencies, effect sizes, and genetic architectures. Such differences will affect predictive power and need to be systematically characterized. In addition, despite the critical importance of biological sex in all areas of development and disease, relatively few attempts have been made to address the complexity of sexual dimorphism in genetic studies of disease and pharmacogenomics phenotypes. In this sub-session, we will highlight the work of those performing genomics research in underserved populations and/or exploring the sex differences/similarities underlying complex traits.

Time Speaker Title
8:00 Heather Wheeler - Loyola University Chicago Introduction
8:15 Lara Dugas - Loyola University Chicago Epidemiologists who use the ‘Omics: A case in point
8:45 Yizhen Zhong - Northwestern University The usage of local ancestry to inform eQTL mapping in African Americans
9:10 Lauren Mogil - Loyola University Chicago Optimizing predictors of gene expression within and across diverse populations
9:35 Yoonjung Yoonie Joo - Northwestern University Phenome-wide association studies of Polycystic Ovary Syndrome (PCOS)
10:00 Meritxell Oliva - University of Chicago The Genetic Basis of Cross-Tissue Protein Expression Variability in Humans

Sub-session 2:
Realizing the Promise of Precision Medicine
11:00 AM - 4:00 PM

Translating the massive amounts of genomic and medical data available into concrete strategies for precision medicine remains a difficult task.  Here, we consider some of the key challenges and opportunities in realizing the promise of precision medicine.  In this afternoon sub-session, faculty from the Toyota Technological Institute at Chicago have assembled a series of talks to explore the spectrum of challenges in precision medicine.


Time Speaker Title
11:00 Aly Khan - Toyota Technological Institute at Chicago Introduction + Computational Immunology: new computational approaches to understand immune function
11:25 Kevin White - Tempus Labs Keynote: From Petabytes to Molecular Insights: Building an Operating System for Cancer
12:00 - 1:30 Lunch
1:30 Charul Aggarwal - PricewaterhouseCoopers Method for region-specific population health prediction using virtual populations based on a simulation model of individual health
1:50 Anne-Christin Hauschild - Princess Margaret Cancer Centre & University of Toronto Network Motif Families for Lung Cancer Diagnostics: A World Community Grid Approach
2:10 Subhajyoti De - Rutgers Cancer Institute Assessment of intra-tumor genetic heterogeneity and evolutionary dynamics in lung cancer
2:30 - 3:00 Coffee
3:00 Kymberleigh Pagel - Indiana University Functional signatures and impact of loss-of-function genetic variants
3:20 Tunca Dogan - EMBL-EBI Computational Prediction of Novel Drug Candidate Compound – Target Protein Interactions and Their Verification on PI3K/AKT/mTOR Signalling Pathway
3:40 Hammad Naveed - Toyota Technological Institute at Chicago Conclusion + A novel computational framework to identify novel drug targets: a case study of kinase inhibitors