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

Authors :
Owen, Mallory J
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
Owen, Mallory J
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
Source :
Nature communications; vol 13, iss 1, 4057; 2041-1723
Publication Year :
2022

Abstract

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.

Details

Database :
OAIster
Journal :
Nature communications; vol 13, iss 1, 4057; 2041-1723
Notes :
application/pdf, Nature communications vol 13, iss 1, 4057 2041-1723
Publication Type :
Electronic Resource
Accession number :
edsoai.on1391588536
Document Type :
Electronic Resource