Sharing Data About Genomic Variants A Clinical And Scientific Imperative

Presented At:
Molecular Diagnostics Virtual Event 2018

Presented By:
Robert Cook-Deegan, MD Professor, School for the Future of Innovation in Society and Consortium for Science, Policy & Outcomes, Arizona State University

Speaker Bio:
Robert Cook-Deegan is a professor, School for the Future of Innovation in Society, and Consortium for Science, Policy & Outcomes at Arizona State University. He founded and directed Duke's Center for Genome Ethics, Law & Policy 2002- 2012, and Duke-in-Washington through June 2016. Before Duke: National Academies of Science, Engineering and Medicine 1991-2002; National Center for Human Genome Research (NIH) 1989-1990; and congressional Office of Technology Assessment 1982-1988. MD, University of Colorado,1979; and BA in chemistry (magna cum laude), Harvard, 1975. Author of The Gene Wars: Science, Politics, and the Human Genome and over 250 other publications.

Webinar:
Sharing Data about Genomic Variants: A Clinical and Scientific Imperative

Webinar Abstract:
Next-generation DNA sequencing began to enter the clinic a decade ago, a half decade after the draft human reference sequence was published. The discovery of new genes, new variants of known genes, new genotype-phenotype correlations has produced a deluge of data, and it will take decades to figure out its clinical significance. It will require sharing data of many kinds on many people over time, and correlation with clinical outcomes, environmental exposures, health habits, and other data. The tasks are too large for any one institution, and yet the smooth flow of data will require cooperation and collective action: the formation of a commons. Starting from a couple case scenarios that illustrate why data-sharing matters to clinical interpretation, we will turn to understanding the value of a commons, how it might form to enable scientific advance and better clinical care, using variants in BRCA1/2 as a case example. We will finish with examples of policies that could make science work better and augment a learning health care system.

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