An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases

An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases

Rapid diagnosis and implementation of treatments is crucial in many genetic conditions. Here the authors describe Genome-to-Treatment, a virtual disease management system that can achieve a rapid diagnosis by expedited whole genome sequencing in 13.5 hours and provide guidance to clinicians for poss...

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Bibliographic Details
Main Authors: Mallory J. Owen, Sebastien Lefebvre, Christian Hansen, Chris M. Kunard, David P. Dimmock, Laurie D. Smith, Gunter Scharer, Rebecca Mardach, Mary J. Willis, Annette Feigenbaum, Anna-Kaisa Niemi, Yan Ding, Luca Van Der Kraan, Katarzyna Ellsworth, Lucia Guidugli, Bryan R. Lajoie, Timothy K. McPhail, Shyamal S. Mehtalia, Kevin K. Chau, Yong H. Kwon, Zhanyang Zhu, Sergey Batalov, Shimul Chowdhury, Seema Rego, James Perry, Mark Speziale, Mark Nespeca, Meredith S. Wright, Martin G. Reese, Francisco M. De La Vega, Joe Azure, Erwin Frise, Charlene Son Rigby, Sandy White, Charlotte A. Hobbs, Sheldon Gilmer, Gail Knight, Albert Oriol, Jerica Lenberg, Shareef A. Nahas, Kate Perofsky, Kyu Kim, Jeanne Carroll, Nicole G. Coufal, Erica Sanford, Kristen Wigby, Jacqueline Weir, Vicki S. Thomson, Louise Fraser, Seka S. Lazare, Yoon H. Shin, Haiying Grunenwald, Richard Lee, David Jones, Duke Tran, Andrew Gross, Patrick Daigle, Anne Case, Marisa Lue, James A. Richardson, John Reynders, Thomas Defay, Kevin P. Hall, Narayanan Veeraraghavan, Stephen F. Kingsmore
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-31446-6

Internet

https://doi.org/10.1038/s41467-022-31446-6

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