Data sharing to advance gene‐targeted therapies in rare diseases

Author:

Lekstrom‐Himes Julie1ORCID,Augustine Erika F.2ORCID,Brower Amy3ORCID,Defay Thomas4ORCID,Finkel Richard S.5ORCID,McGuire Amy L.6ORCID,Skinner Mark W.78ORCID,Yu Timothy W.9ORCID

Affiliation:

1. Takeda Cambridge Massachusetts USA

2. Department of Neurology and Developmental Medicine Kennedy Krieger Institute Baltimore Maryland USA

3. American College of Medical Genetics and Genomics Bethesda Maryland USA

4. Alexion Pharmaceuticals Boston Massachusetts USA

5. Center for Experimental Neurotherapeutics, Department of Pediatric Medicine St. Jude Children's Research Hospital Memphis Tennessee USA

6. Center for Medical Ethics and Health Policy Baylor College of Medicine Houston Texas USA

7. Institute for Policy Advancement Ltd. Washington DC USA

8. Department of Health Research Methods, Evidence and Impact McMaster University Hamilton Ontario Canada

9. Division of Genetics and Genomics Harvard Medical School Boston Massachusetts USA

Abstract

AbstractRecent advancements in gene‐targeted therapies have highlighted the critical role data sharing plays in successful translational drug development for people with rare diseases. To scale these efforts, we need to systematize these sharing principles, creating opportunities for more rapid, efficient, and scalable drug discovery/testing including long‐term and transparent assessment of clinical safety and efficacy. A number of challenges will need to be addressed, including the logistical difficulties of studying rare diseases affecting individuals who may be scattered across the globe, scientific, technical, regulatory, and ethical complexities of data collection, and harmonization and integration across multiple platforms and contexts. The NCATS/NIH Gene‐Targeted Therapies: Early Diagnosis and Equitable Delivery meeting series held during June 2021 included data sharing models that address these issues and framed discussions of areas that require improvement. This article describes these discussions and provides a series of considerations for future data sharing.

Publisher

Wiley

Subject

Genetics (clinical),Genetics

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