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

While many genetic diseases have effective treatments, they frequently progress rapidly to severe morbidity or mortality if those treatments are not implemented immediately. Since front-line physicians frequently lack familiarity with these diseases, timely molecular diagnosis may not improve outcom...

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Autores principales: Owen, Mallory J., Lefebvre, Sebastien, Hansen, Christian, Kunard, Chris M., Dimmock, David P., Smith, Laurie D., Scharer, Gunter, Mardach, Rebecca, Willis, Mary J., Feigenbaum, Annette, Niemi, Anna-Kaisa, Ding, Yan, Van Der Kraan, Luca, Ellsworth, Katarzyna, Guidugli, Lucia, Lajoie, Bryan R., McPhail, Timothy K., Mehtalia, Shyamal S., Chau, Kevin K., Kwon, Yong H., Zhu, Zhanyang, Batalov, Sergey, Chowdhury, Shimul, Rego, Seema, Perry, James, Speziale, Mark, Nespeca, Mark, Wright, Meredith S., Reese, Martin G., De La Vega, Francisco M., Azure, Joe, Frise, Erwin, Rigby, Charlene Son, White, Sandy, Hobbs, Charlotte A., Gilmer, Sheldon, Knight, Gail, Oriol, Albert, Lenberg, Jerica, Nahas, Shareef A., Perofsky, Kate, Kim, Kyu, Carroll, Jeanne, Coufal, Nicole G., Sanford, Erica, Wigby, Kristen, Weir, Jacqueline, Thomson, Vicki S., Fraser, Louise, Lazare, Seka S., Shin, Yoon H., Grunenwald, Haiying, Lee, Richard, Jones, David, Tran, Duke, Gross, Andrew, Daigle, Patrick, Case, Anne, Lue, Marisa, Richardson, James A., Reynders, John, Defay, Thomas, Hall, Kevin P., Veeraraghavan, Narayanan, Kingsmore, Stephen F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325884/
https://www.ncbi.nlm.nih.gov/pubmed/35882841
http://dx.doi.org/10.1038/s41467-022-31446-6
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author Owen, Mallory J.
Lefebvre, Sebastien
Hansen, Christian
Kunard, Chris M.
Dimmock, David P.
Smith, Laurie D.
Scharer, Gunter
Mardach, Rebecca
Willis, Mary J.
Feigenbaum, Annette
Niemi, Anna-Kaisa
Ding, Yan
Van Der Kraan, Luca
Ellsworth, Katarzyna
Guidugli, Lucia
Lajoie, Bryan R.
McPhail, Timothy K.
Mehtalia, Shyamal S.
Chau, Kevin K.
Kwon, Yong H.
Zhu, Zhanyang
Batalov, Sergey
Chowdhury, Shimul
Rego, Seema
Perry, James
Speziale, Mark
Nespeca, Mark
Wright, Meredith S.
Reese, Martin G.
De La Vega, Francisco M.
Azure, Joe
Frise, Erwin
Rigby, Charlene Son
White, Sandy
Hobbs, Charlotte A.
Gilmer, Sheldon
Knight, Gail
Oriol, Albert
Lenberg, Jerica
Nahas, Shareef A.
Perofsky, Kate
Kim, Kyu
Carroll, Jeanne
Coufal, Nicole G.
Sanford, Erica
Wigby, Kristen
Weir, Jacqueline
Thomson, Vicki S.
Fraser, Louise
Lazare, Seka S.
Shin, Yoon H.
Grunenwald, Haiying
Lee, Richard
Jones, David
Tran, Duke
Gross, Andrew
Daigle, Patrick
Case, Anne
Lue, Marisa
Richardson, James A.
Reynders, John
Defay, Thomas
Hall, Kevin P.
Veeraraghavan, Narayanan
Kingsmore, Stephen F.
author_facet Owen, Mallory J.
Lefebvre, Sebastien
Hansen, Christian
Kunard, Chris M.
Dimmock, David P.
Smith, Laurie D.
Scharer, Gunter
Mardach, Rebecca
Willis, Mary J.
Feigenbaum, Annette
Niemi, Anna-Kaisa
Ding, Yan
Van Der Kraan, Luca
Ellsworth, Katarzyna
Guidugli, Lucia
Lajoie, Bryan R.
McPhail, Timothy K.
Mehtalia, Shyamal S.
Chau, Kevin K.
Kwon, Yong H.
Zhu, Zhanyang
Batalov, Sergey
Chowdhury, Shimul
Rego, Seema
Perry, James
Speziale, Mark
Nespeca, Mark
Wright, Meredith S.
Reese, Martin G.
De La Vega, Francisco M.
Azure, Joe
Frise, Erwin
Rigby, Charlene Son
White, Sandy
Hobbs, Charlotte A.
Gilmer, Sheldon
Knight, Gail
Oriol, Albert
Lenberg, Jerica
Nahas, Shareef A.
Perofsky, Kate
Kim, Kyu
Carroll, Jeanne
Coufal, Nicole G.
Sanford, Erica
Wigby, Kristen
Weir, Jacqueline
Thomson, Vicki S.
Fraser, Louise
Lazare, Seka S.
Shin, Yoon H.
Grunenwald, Haiying
Lee, Richard
Jones, David
Tran, Duke
Gross, Andrew
Daigle, Patrick
Case, Anne
Lue, Marisa
Richardson, James A.
Reynders, John
Defay, Thomas
Hall, Kevin P.
Veeraraghavan, Narayanan
Kingsmore, Stephen F.
author_sort Owen, Mallory J.
collection PubMed
description While many genetic diseases have effective treatments, they frequently progress rapidly to severe morbidity or mortality if those treatments are not implemented immediately. Since front-line physicians frequently lack familiarity with these diseases, timely molecular diagnosis may not improve outcomes. Herein we describe Genome-to-Treatment, an automated, virtual system for genetic disease diagnosis and acute management guidance. Diagnosis is achieved in 13.5 h by expedited whole genome sequencing, with superior analytic performance for structural and copy number variants. An expert panel adjudicated the indications, contraindications, efficacy, and evidence-of-efficacy of 9911 drug, device, dietary, and surgical interventions for 563 severe, childhood, genetic diseases. The 421 (75%) diseases and 1527 (15%) effective interventions retained are integrated with 13 genetic disease information resources and appended to diagnostic reports (https://gtrx.radygenomiclab.com). This system provided correct diagnoses in four retrospectively and two prospectively tested infants. The Genome-to-Treatment system facilitates optimal outcomes in children with rapidly progressive genetic diseases.
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spelling pubmed-93258842022-07-28 An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases Owen, Mallory J. Lefebvre, Sebastien Hansen, Christian Kunard, Chris M. Dimmock, David P. Smith, Laurie D. Scharer, Gunter Mardach, Rebecca Willis, Mary J. Feigenbaum, Annette Niemi, Anna-Kaisa Ding, Yan Van Der Kraan, Luca Ellsworth, Katarzyna Guidugli, Lucia Lajoie, Bryan R. McPhail, Timothy K. Mehtalia, Shyamal S. Chau, Kevin K. Kwon, Yong H. Zhu, Zhanyang Batalov, Sergey Chowdhury, Shimul Rego, Seema Perry, James Speziale, Mark Nespeca, Mark Wright, Meredith S. Reese, Martin G. De La Vega, Francisco M. Azure, Joe Frise, Erwin Rigby, Charlene Son White, Sandy Hobbs, Charlotte A. Gilmer, Sheldon Knight, Gail Oriol, Albert Lenberg, Jerica Nahas, Shareef A. Perofsky, Kate Kim, Kyu Carroll, Jeanne Coufal, Nicole G. Sanford, Erica Wigby, Kristen Weir, Jacqueline Thomson, Vicki S. Fraser, Louise Lazare, Seka S. Shin, Yoon H. Grunenwald, Haiying Lee, Richard Jones, David Tran, Duke Gross, Andrew Daigle, Patrick Case, Anne Lue, Marisa Richardson, James A. Reynders, John Defay, Thomas Hall, Kevin P. Veeraraghavan, Narayanan Kingsmore, Stephen F. Nat Commun Article While many genetic diseases have effective treatments, they frequently progress rapidly to severe morbidity or mortality if those treatments are not implemented immediately. Since front-line physicians frequently lack familiarity with these diseases, timely molecular diagnosis may not improve outcomes. Herein we describe Genome-to-Treatment, an automated, virtual system for genetic disease diagnosis and acute management guidance. Diagnosis is achieved in 13.5 h by expedited whole genome sequencing, with superior analytic performance for structural and copy number variants. An expert panel adjudicated the indications, contraindications, efficacy, and evidence-of-efficacy of 9911 drug, device, dietary, and surgical interventions for 563 severe, childhood, genetic diseases. The 421 (75%) diseases and 1527 (15%) effective interventions retained are integrated with 13 genetic disease information resources and appended to diagnostic reports (https://gtrx.radygenomiclab.com). This system provided correct diagnoses in four retrospectively and two prospectively tested infants. The Genome-to-Treatment system facilitates optimal outcomes in children with rapidly progressive genetic diseases. Nature Publishing Group UK 2022-07-26 /pmc/articles/PMC9325884/ /pubmed/35882841 http://dx.doi.org/10.1038/s41467-022-31446-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Owen, Mallory J.
Lefebvre, Sebastien
Hansen, Christian
Kunard, Chris M.
Dimmock, David P.
Smith, Laurie D.
Scharer, Gunter
Mardach, Rebecca
Willis, Mary J.
Feigenbaum, Annette
Niemi, Anna-Kaisa
Ding, Yan
Van Der Kraan, Luca
Ellsworth, Katarzyna
Guidugli, Lucia
Lajoie, Bryan R.
McPhail, Timothy K.
Mehtalia, Shyamal S.
Chau, Kevin K.
Kwon, Yong H.
Zhu, Zhanyang
Batalov, Sergey
Chowdhury, Shimul
Rego, Seema
Perry, James
Speziale, Mark
Nespeca, Mark
Wright, Meredith S.
Reese, Martin G.
De La Vega, Francisco M.
Azure, Joe
Frise, Erwin
Rigby, Charlene Son
White, Sandy
Hobbs, Charlotte A.
Gilmer, Sheldon
Knight, Gail
Oriol, Albert
Lenberg, Jerica
Nahas, Shareef A.
Perofsky, Kate
Kim, Kyu
Carroll, Jeanne
Coufal, Nicole G.
Sanford, Erica
Wigby, Kristen
Weir, Jacqueline
Thomson, Vicki S.
Fraser, Louise
Lazare, Seka S.
Shin, Yoon H.
Grunenwald, Haiying
Lee, Richard
Jones, David
Tran, Duke
Gross, Andrew
Daigle, Patrick
Case, Anne
Lue, Marisa
Richardson, James A.
Reynders, John
Defay, Thomas
Hall, Kevin P.
Veeraraghavan, Narayanan
Kingsmore, Stephen F.
An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title_full An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title_fullStr An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title_full_unstemmed An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title_short An automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
title_sort automated 13.5 hour system for scalable diagnosis and acute management guidance for genetic diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325884/
https://www.ncbi.nlm.nih.gov/pubmed/35882841
http://dx.doi.org/10.1038/s41467-022-31446-6
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