Enabling Global Clinical Collaborations on Identifiable Patient Data: The Minerva Initiative

Enabling Global Clinical Collaborations on Identifiable Patient Data: The Minerva Initiative

The clinical utility of computational phenotyping for both genetic and rare diseases is increasingly appreciated; however, its true potential is yet to be fully realized. Alongside the growing clinical and research availability of sequencing technologies, precise deep and scalable phenotyping is req...

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Bibliographic Details
Main Authors: Christoffer Nellåker, Fowzan S. Alkuraya, Gareth Baynam, Raphael A. Bernier, Francois P.J. Bernier, Vanessa Boulanger, Michael Brudno, Han G. Brunner, Jill Clayton-Smith, Benjamin Cogné, Hugh J.S. Dawkins, Bert B.A. deVries, Sofia Douzgou, Tracy Dudding-Byth, Evan E. Eichler, Michael Ferlaino, Karen Fieggen, Helen V. Firth, David R. FitzPatrick, Dylan Gration, Tudor Groza, Melissa Haendel, Nina Hallowell, Ada Hamosh, Jayne Hehir-Kwa, Marc-Phillip Hitz, Mark Hughes, Usha Kini, Tjitske Kleefstra, R Frank Kooy, Peter Krawitz, Sébastien Küry, Melissa Lees, Gholson J. Lyon, Stanislas Lyonnet, Julien L. Marcadier, Stephen Meyn, Veronika Moslerová, Juan M. Politei, Cathryn C. Poulton, F Lucy Raymond, Margot R.F. Reijnders, Peter N. Robinson, Corrado Romano, Catherine M. Rose, David C.G. Sainsbury, Lyn Schofield, Vernon R. Sutton, Marek Turnovec, Anke Van Dijck, Hilde Van Esch, Andrew O.M. Wilkie, The Minerva Consortium
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Genetics
Subjects:
data sharing
phenotyping
patient information
data protection
rare disease
Faces
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00611/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00611/full

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