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This meeting took place in 2012
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Meeting Details
Complex Traits: Genomics and Computational Approaches (B5)
Organizer(s) Eric Schadt, Stephen H. Friend and Iya G. Khalil
February 20 - February 25, 2012
Beaver Run Resort • Breckenridge, Colorado USA
Abstract Deadline: October 20, 2011
Late Abstract Deadline: December 1, 2011
Scholarship Deadline: October 20, 2011
Early Registration Deadline: January 4, 2012
Supported by the Directors’ Fund
CME Information
Summary of Meeting:
Complex traits are driven by constellations of genetic and environmental factors interacting in complex ways. Genetic and environmental perturbations do not directly lead to disease but, rather, impact molecular processes that underlie physiological states associated with disease. Therefore, in order to develop a complete understanding of complex traits like disease, biological systems must be queried in a comprehensive fashion in multiple dimensions. Different data dimensions like genotype, gene expression, proteomic and metabolomic offer complementary views that are useful individually and exceptionally valuable collectively. Without mastering the large-scale molecular data that underlies pathophysiological states, without sophisticated mathematical algorithms capable of data integration, and without an appropriate informatics infrastructure to apply these algorithms and translate the results into manageable bites of information that can be consumed by physicians and patients, efforts to realize the dream of personalized medicine will be difficult to achieve.
Towards this end of realizing the promise of personalized medicine, the Keystone Symposia meeting on Complex Traits: Genomics and Computational Approaches will focus on three different areas: 1) methods for integrating diverse, large-scale, high-dimensional data with clinical phenotypes to construct predictive models (e.g., networks) of disease; 2) application of integrative biology approaches that combine large-scale molecular and clinical phenotype information to elucidate the underlying causes of disease and to prioritize drug targets and biomarkers; and 3) technological advances that will drive a dramatic explosion in data that will enable better models of disease and solutions to address the problem of how to enable others to share big data, interact with complex models and refine those models to improve our understanding of disease and associated biological processes.
CME Information
Complex traits are driven by constellations of genetic and environmental factors interacting in complex ways. Genetic and environmental perturbations do not directly lead to disease but, rather, impact molecular processes that underlie physiological states associated with disease. Therefore, in order to develop a complete understanding of complex traits like disease, biological systems must be queried in a comprehensive fashion in multiple dimensions. Different data dimensions like genotype, gene expression, proteomic and metabolomic offer complementary views that are useful individually and exceptionally valuable collectively. Without mastering the large-scale molecular data that underlies pathophysiological states, without sophisticated mathematical algorithms capable of data integration, and without an appropriate informatics infrastructure to apply these algorithms and translate the results into manageable bites of information that can be consumed by physicians and patients, efforts to realize the dream of personalized medicine will be difficult to achieve. Towards this end of realizing the promise of personalized medicine, the Keystone Symposia meeting on Complex Traits: Genomics and Computational Approaches will focus on three different areas: 1) methods for integrating diverse, large-scale, high-dimensional data with clinical phenotypes to construct predictive models (e.g., networks) of disease; 2) application of integrative biology approaches that combine large-scale molecular and clinical phenotype information to elucidate the underlying causes of disease and to prioritize drug targets and biomarkers; and 3) technological advances that will drive a dramatic explosion in data that will enable better models of disease and solutions to address the problem of how to enable others to share big data, interact with complex models and refine those models to improve our understanding of disease and associated biological processes.
Conference Program Print | View meeting in 12 hr (am/pm) time
MONDAY, FEBRUARY 20
19:15—20:30
Welcome and Keynote Address
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*
Iya G. Khalil,
GNS Healthcare, USA
Leroy E. Hood,
Institute for Systems Biology, USA
Systems Approaches to Complex Diseases and the Emergence of Proactive P4 Medicine
Systems Approaches to Complex Diseases and the Emergence of Proactive P4 Medicine
08:00—11:00
The Genetics of Complex Human Diseases
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
Mark I. McCarthy,
Churchill Hospital, UK
Diamonds in the Dirt: Defining the Genetic Basis of T2D Susceptibility through Large-Scale Sequencing Studies
Diamonds in the Dirt: Defining the Genetic Basis of T2D Susceptibility through Large-Scale Sequencing Studies
Elizabeth K. Speliotes,
University of Michigan, USA
Genetic Studies of Obesity and Nonalcoholic Fatty Liver Disease
Genetic Studies of Obesity and Nonalcoholic Fatty Liver Disease
Sekar Kathiresan,
Massachusetts General Hospital, USA
A Mendelian Randomization Study for Plasma High-Density Lipoprotein Cholesterol and Risk for Myocardial Infarction
A Mendelian Randomization Study for Plasma High-Density Lipoprotein Cholesterol and Risk for Myocardial Infarction
Manolis Kellis,
Massachusetts Institute of Technology, USA
Thousands of Regulatory Variants Contribute to Complex Disease in Alzheimer's and Type 1 Diabetes
Thousands of Regulatory Variants Contribute to Complex Disease in Alzheimer's and Type 1 Diabetes
14:30—16:30
Workshop: Health Disparities. Supported by Novartis Institutes for BioMedical Research
Joshua M. Akey,
University of Washington, USA
Personal and Population Genomics of Protein-Coding and Regulatory Variation in Humans
Personal and Population Genomics of Protein-Coding and Regulatory Variation in Humans
*
M. Eileen Dolan,
University of Chicago, USA
Pharmacogenomics of Anticancer Agents in Different World Populations
Pharmacogenomics of Anticancer Agents in Different World Populations
Elad Ziv,
University of California, San Francisco, USA
Leveraging Genetic Ancestry to Map Complex Traits: Applications to Cancer Susceptibility
Leveraging Genetic Ancestry to Map Complex Traits: Applications to Cancer Susceptibility
17:00—19:00
Network and Pathway-Based Genome-Wide Association Studies
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
Barbara E. Stranger,
Harvard Medical School/Brigham and Women's Hospital, USA
Cis-Regulatory Regions Influencing Immune-Mediated Disease Are a Target of Recent Positive Selection in Humans
Cis-Regulatory Regions Influencing Immune-Mediated Disease Are a Target of Recent Positive Selection in Humans
Judy Zhong,
New York University Medical School, USA
Networks of Expression Associated SNPs in Liver and Adipose
Networks of Expression Associated SNPs in Liver and Adipose
Andrew G. Clark,
Cornell University, USA
Attributes of Metabolic Regulatory Networks Inferred from Natural Polymorphisms in a Reference Panel of Lines of Drosophila melanogaster
Attributes of Metabolic Regulatory Networks Inferred from Natural Polymorphisms in a Reference Panel of Lines of Drosophila melanogaster
Sarah A. Pendergrass,
Pennsylvania State University, USA
Short Talk: A Phenome-Wide Exploration of Genotype-Phenotype Associations and Pleiotropy Using MetaboChip in the PAGE Study
Short Talk: A Phenome-Wide Exploration of Genotype-Phenotype Associations and Pleiotropy Using MetaboChip in the PAGE Study
08:00—11:00
Integrative Genomics Methods for Elucidating the Complexity of Living Systems
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*
Iya G. Khalil,
GNS Healthcare, USA
Atul J. Butte,
Stanford University, USA
Integrating Genome-Wide and Environmental-Wide Association Studies for Data-Driven Personalized Medicine
Integrating Genome-Wide and Environmental-Wide Association Studies for Data-Driven Personalized Medicine
Eric Schadt,
Pacific Biosciences/Mount Sinai School of Medicine, USA
Reverse Engineering Biological Systems to Construct Disease Networks
Reverse Engineering Biological Systems to Construct Disease Networks
Leonid Kruglyak,
Princeton University, USA
Genetic Dissection of Complex Traits in Simple Model Organisms
Genetic Dissection of Complex Traits in Simple Model Organisms
Jennifer Listgarten,
Microsoft Research, USA
Short Talk: FaST Linear Mixed Models for Genome-Wide Association Studies
Short Talk: FaST Linear Mixed Models for Genome-Wide Association Studies
17:00—19:00
Applications of Integrative Genomics Strategies to Match Patients to Treatments of Disease
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
Joseph Lehár,
Novartis Institutes for BioMedical Research, USA
Approaching Selective Cancer Therapy via a Genomic, Phenotypic and Combination Campaign
Approaching Selective Cancer Therapy via a Genomic, Phenotypic and Combination Campaign
Andrea Califano,
Columbia University, USA
Using Predictive Regulatory Models to Identify Genes That Integrate the Aberrant Signal Spectrum of a Cancer Subtype
Using Predictive Regulatory Models to Identify Genes That Integrate the Aberrant Signal Spectrum of a Cancer Subtype
Euan A. Ashley,
Stanford University, USA
Genome Interpretation to Identify Actionable Events That Will Impact Disease Diagnosis and Treatment Strategy
Genome Interpretation to Identify Actionable Events That Will Impact Disease Diagnosis and Treatment Strategy
Laura Saba,
University of Colorado Denver, USA
Short Talk: A “Modular” Approach to Elucidating Genetic Susceptibility to Ventricular Malfunction
Short Talk: A “Modular” Approach to Elucidating Genetic Susceptibility to Ventricular Malfunction
08:00—11:40
Technological Innovation Driving More Highly Accurate Models of Disease
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
Stephen W. Turner,
Pacific Biosciences, USA
Single-Molecule Real-Time Biology
Single-Molecule Real-Time Biology
Garry P. Nolan,
Stanford University, USA
Mass Flow Cytometry to Construct Cellular Networks That Predict Disease Outcome
Mass Flow Cytometry to Construct Cellular Networks That Predict Disease Outcome
Jeff Hammerbacher,
Cloudera Inc., USA
Experiences Evolving an Analytical Platform, with Applications to Health Care and the Life Sciences
Experiences Evolving an Analytical Platform, with Applications to Health Care and the Life Sciences
Joel Dudley,
NuMedii/Stanford University, USA
Systems Based Approaches for Connecting Therapeutic Mechanisms to the Molecular Pathophysiology of Disease
Systems Based Approaches for Connecting Therapeutic Mechanisms to the Molecular Pathophysiology of Disease
Maya M. Kasowski,
Yale University, USA
Short Talk: Variation in Transcription Factor Binding Among Humans
Short Talk: Variation in Transcription Factor Binding Among Humans
Trey Ideker,
University of California, San Diego, USA
From Networks to Predicting Response to Cancer Treatments
From Networks to Predicting Response to Cancer Treatments
17:00—19:00
Data Sharing, Representing Models of Disease and Enabling Communities of Researchers to Interact
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*
Iya G. Khalil,
GNS Healthcare, USA
Stephen H. Friend,
Sage Bionetworks, USA
Use of Bionetworks to Build Maps of Diseases - Moving Beyond the Linear
Use of Bionetworks to Build Maps of Diseases - Moving Beyond the Linear
Vicki L. Seyfert-Margolis,
Food and Drug Administration, USA
Facilitating Data Sharing to Enhance Drug Effectiveness and Safety
Facilitating Data Sharing to Enhance Drug Effectiveness and Safety
Joel P. Wagner,
Massachusetts Institute of Technology, USA
Short Talk: Network Simulation versus Network Inference: Contrasting ‘Omics Modeling Approaches
Short Talk: Network Simulation versus Network Inference: Contrasting ‘Omics Modeling Approaches
08:00—11:00
Reconstructing Biological Networks
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
Alexis Battle,
Stanford University, USA
Using Prior Knowledge to Unravel the Genetic Factors Underlying Complex Traits
Using Prior Knowledge to Unravel the Genetic Factors Underlying Complex Traits
Iya G. Khalil,
GNS Healthcare, USA
Constructing Ensembles of Networks to Predict Disease Phenotype
Constructing Ensembles of Networks to Predict Disease Phenotype
Jun Zhu,
Mount Sinai School of Medicine, USA
An Integrative Bayesian Network Approach to Construct Disease Models
An Integrative Bayesian Network Approach to Construct Disease Models
Marylyn D. Ritchie,
Pennsylvania State University, USA
Meta-Dimensional Analysis of Phenotypes to Dissect the Architecture of Complex Traits
Meta-Dimensional Analysis of Phenotypes to Dissect the Architecture of Complex Traits
Jonathan R. Karr,
Stanford University, USA
Short Talk: A Whole Cell Model of Mycoplasma genitalium Elucidates Mechanisms of Bacterial Growth and Replication
Short Talk: A Whole Cell Model of Mycoplasma genitalium Elucidates Mechanisms of Bacterial Growth and Replication
17:00—19:00
Application of Predictive Gene Networks to Identify the Drivers of Disease
Meeting has ended...abstracts no longer viewable online. Purchase an Abstract Book from this meeting
*
Eric Schadt,
Pacific Biosciences/Mount Sinai School of Medicine, USA
Johan Lars Markus Björkegren,
Karolinska Institutet, Sweden
Construction and Mining of Cross-Tissue and Tissue Networks in Coronary Artery Disease
Construction and Mining of Cross-Tissue and Tissue Networks in Coronary Artery Disease
*Session Chair †Speaker invited, not yet responded.
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