• About

    Advances in computing have led to a data-driven revolution in biology and promise to guide progress in precision medicine. This special session at GLBIO 2019 will explore the spectrum of challenges and opportunities in precision medicine, including genomics, electronic health record analytics, and drug discovery. Confirmed speakers apply systems approaches to disease, biomarker, and other complex trait prediction by building computational models that leverage and integrate similarity in genetic, transcriptomic and other omics-level data. The intended audience for this session includes those interested in integrative genomics, statistical modeling, machine learning, and human population genetics applications in medicine

    This session will accept submitted abstracts, but not full papers.

    Guidelines for submitting abstracts: click here for details.

    Click on Register Now to register and submit an abstract via EasyChair

    Abstract submissions are now closed.

  • Presentations

    Invited talks - Morning session (11 AM - 12 PM)

    1

    Imputed gene expression associations identify replicable trans-acting genes enriched in immune traits

    Heather Wheeler - Loyola University Chicago

    11:00 - 11:20 AM

    2

    Testing and controlling for horizontal pleiotropy with the probabilistic Mendelian randomization in transcriptome-wide association studies

    Xiang Zhou - University of Michigan

    11:20 - 11:40 AM

    3

    Integrative analysis of transcriptomic annotation data and biobank-scale GWAS summary statistics identifies risk factors for Alzheimer’s disease

    Qiongshi Lu - University of Wisconsin-Madison

    11:40 AM - 12:00 PM

  • Invited talks - Afternoon session (1:30 - 2:30 PM)

    1

    Long non-coding RNAs are crucial pharmacogenomic biomarkers of anticancer agents beyond protein-coding genes

     

    Aritro Nath - University of Minnesota

    1:30 - 1:50 PM

    2

    Using cancer eQTL profiles and GWAS to prioritize drug targets in cancer

    Paul Geeleher - St. Jude Children's Research Hospital

    1:50 - 2:10 PM

    3

    Peering into germline and somatic breast cancer genomes in women of African decent

    Yonglan Zheng - University of Chicago

    2:10 - 2:30 PM

  • Proffered talks - Evening session (3:00 - 5:00 PM)

    1

    Patient derived xenografts for precision cancer medicine

    Arvind Singh Mer - University of Toronto

    3:00 - 3:15 PM

    2

    Genetically regulated gene expression underlies lipid traits in Hispanic cohorts

    Angela Andaleon - Loyola University Chicago

    3:15 - 3:30 PM

    3

    NeTFactor, a framework for identifying transcriptional regulators of gene expression-based biomarkers

    Gaurav Pandey - Mount Sinai School of Medicine

    3:30 - 3:45 PM

    4

    Systematic characterization of a set of variants from heterogeneous information

    Xiaoman Xie - University of Illinois at Urbana-Champaign

    3:45 - 4:00 PM

    5

    Characterization of clonal evolution in microsatellite unstable metastatic cancers through multi-regional tumor sequencing

    Russell Bonneville - The Ohio State University

    4:00 - 4:15 PM

    6

    iFunMed: Integrative Functional Mediation Analysis of GWAS and eQTL Studies

    Constanza Rojo - University of Wisconsin-Madison

    4:15 - 4:30 PM

    7

    A Pathway Perspective on Drug Response for Targeted Therapies in Acute Myeloid Leukemia

    Aurora Blucher - Oregon Health & Science University

    4:30 - 4:45 PM

    8

    GraPhyC: Using Consensus to Infer Tumor Evolutionary Histories

    Layla Oesper - Carleton College

    4:45 - 5:00 PM

  • Session Chairs

    Heather Wheeler, PhD

    Loyola University Chicago

    Heather E. Wheeler is an Assistant Professor at Loyola University Chicago with a joint appointment in the Departments of Biology and Computer Science. She teaches courses within the Bioinformatics Program and also has a secondary appointment in the Department of Public Health Sciences. The broad goal of her research is to better understand how genetic variation leads to phenotypic variation for complex traits including disease susceptibility and drug response. Her current focus is understanding the degree of transferability of genetic
    association results and implicated genes across diverse populations with the goal of reducing the contribution of genomics to health disparities. Before joining Loyola, she was a postdoctoral fellow at The University of Chicago, where she worked in statistical genetics and cancer pharmacogenomics. Heather holds a PhD in Genetics from Stanford University and a BA in Biology from Hamline University.

    Aritro Nath, PhD

    University of Minnesota

    Aritro Nath is a postdoctoral fellow in the R. Stephanie Huang lab at the University of Minnesota in the Department of Experimental and Clinical Pharmacology, and the Masonic Cancer Center. Aritro’s research broadly focuses on utilizing computational and experimental approaches to improve our understanding of the mechanisms therapeutic response to anticancer agents. His research revolves around establishing a role of the non-coding transcriptome in cancer pharmacogenomics, translating pre-clinical models to predict drug response in patients and studying the longitudinal effects of drug treatment on the genome and transcriptome of patients. He previously worked as a postdoc in the Huang lab at the University of Chicago, following a PhD in Genetics from Michigan State University.

    Qiongshi Lu, PhD

    University of Wisconsin-Madison

    Qiongshi Lu is an Assistant Professor in the Department of Biostatistics and Medical Informatics at University of Wisconsin-Madison. Dr. Lu's research focuses on developing statistical and computational methods to functionally annotate the human genome and dissectthe genetic architecture of complex human diseases. In particular, he is interested in leveraging functional annotation information in genetic association studies to improve functional gene
    fine-mapping, genetic risk prediction, and genetic correlation estimation. Qiongshi holds a PhD in Biostatistics from Yale University and a BS in Mathematics from Tsinghua University.

  • Time & Place

    11 AM - 5 PM | Monday, May 20 2019

    5th Quarter, Union South Building
    1308 W Dayton St, Madison, WI 53715