TCGC: Clinical Genome ConferenceTCGC: Clinical Genome ConferenceTCGC: Clinical Genome Conference

 

The unstoppable march of genomics into clinical practice continues. In an ideal world, the expanding use of genomic tools will identify disease before the onset of clinical symptoms and determine individualized drug treatment leading to precision medicine. However, many challenges remain for the successful translation of genomic knowledge and technologies into health advances and actionable patient care.

Join vital discussions of the applications, questions and solutions surrounding clinical genome analysis.

Topics Include:

  • Working with the Payer Process
  • Genome Variation and Clinical Utility
  • NGS Is Guiding Therapies
  • NGS Is Redefining Genomics
  • Interpretation and Translation to the Client
  • Integrating Genomic Data into the Clinic

Keynote Speakers 

Atal ButteAtul Butte, M.D., Ph.D.

Division Chief and Associate Professor, Stanford University School of Medicine; Director, Center for Pediatric Bioinformatics, Lucile Packard Children’s Hospital
 

David GalasDavid Galas, Ph.D.

Principal Scientist, Pacific Northwest Diabetes Research Institute
 

Gail JarvikGail P. Jarvik, M.D., Ph.D.

Head, Division of Medical Genetics, Arno G. Motulsky Endowed Chair in Medicine and Professor, Medicine and Genome Sciences, University of Washington Medical Center
 

John PfeiferJohn Pfeifer, M.D., Ph.D.

Vice Chair, Clinical Affairs, Pathology and Immunology; Professor, Pathology and Immunology, Washington University
 

John QuackenbushJohn Quackenbush, Ph.D.

Professor, Dana-Farber Cancer Institute and Harvard School of Public Health; Co-Founder and CEO, GenoSpace


 

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Download the 2014 TCGC Brochure 

2014 CLG Brochure Icon
 

Co-Sponsored by

Bio-IT World 

Current Sponsors

Biobase 

EMC 

Archer Enzymatics 

genia   

 SAP 

SimulConsult 

Thomson Reuters-Large 

Wafergen 

View All Sponsors 

View Media Partners 

Podcast 

Reimbursement of Clinical Sequencing Tests for Patient Care 

Translation of Genomic Data 

Impact on Research and Interpretation of Results 


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