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Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
by
Smith, Erica
, Li, Shuwei
, Nuñes, Mark E.
, Tang, Sha
, Radtke, Kelly
, Powis, Zöe
, Sajan, Samin A.
, Wu, Sitao
, Rossi, Mari
, Chao, Elizabeth C.
, Alcaraz, Wendy A.
, Helbig, Katherine L.
, Shinde, Deepali N.
, El-Khechen, Dima
, Lu, Hsiao-Mei
, Shahmirzadi, Layla
, Farwell Hagman, Kelly D.
, Mroske, Cameron
, Huether, Robert
in
631/1647/514
/ 631/208/1516
/ 631/208/2489/144
/ Biomedicine
/ candidate genes
/ clinical diagnostic exome sequencing
/ Databases, Genetic
/ Exome - genetics
/ Genetic Association Studies
/ Genetic Diseases, Inborn - diagnosis
/ Genetic Diseases, Inborn - genetics
/ Genetic Diseases, Inborn - pathology
/ gene–disease relationships
/ High-Throughput Nucleotide Sequencing - methods
/ Human Genetics
/ Humans
/ Laboratory Medicine
/ Mutation
/ novel disease genes
/ novel genetic etiologies
/ Original
/ original-research-article
/ Whole Exome Sequencing
2017
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Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
by
Smith, Erica
, Li, Shuwei
, Nuñes, Mark E.
, Tang, Sha
, Radtke, Kelly
, Powis, Zöe
, Sajan, Samin A.
, Wu, Sitao
, Rossi, Mari
, Chao, Elizabeth C.
, Alcaraz, Wendy A.
, Helbig, Katherine L.
, Shinde, Deepali N.
, El-Khechen, Dima
, Lu, Hsiao-Mei
, Shahmirzadi, Layla
, Farwell Hagman, Kelly D.
, Mroske, Cameron
, Huether, Robert
in
631/1647/514
/ 631/208/1516
/ 631/208/2489/144
/ Biomedicine
/ candidate genes
/ clinical diagnostic exome sequencing
/ Databases, Genetic
/ Exome - genetics
/ Genetic Association Studies
/ Genetic Diseases, Inborn - diagnosis
/ Genetic Diseases, Inborn - genetics
/ Genetic Diseases, Inborn - pathology
/ gene–disease relationships
/ High-Throughput Nucleotide Sequencing - methods
/ Human Genetics
/ Humans
/ Laboratory Medicine
/ Mutation
/ novel disease genes
/ novel genetic etiologies
/ Original
/ original-research-article
/ Whole Exome Sequencing
2017
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Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
by
Smith, Erica
, Li, Shuwei
, Nuñes, Mark E.
, Tang, Sha
, Radtke, Kelly
, Powis, Zöe
, Sajan, Samin A.
, Wu, Sitao
, Rossi, Mari
, Chao, Elizabeth C.
, Alcaraz, Wendy A.
, Helbig, Katherine L.
, Shinde, Deepali N.
, El-Khechen, Dima
, Lu, Hsiao-Mei
, Shahmirzadi, Layla
, Farwell Hagman, Kelly D.
, Mroske, Cameron
, Huether, Robert
in
631/1647/514
/ 631/208/1516
/ 631/208/2489/144
/ Biomedicine
/ candidate genes
/ clinical diagnostic exome sequencing
/ Databases, Genetic
/ Exome - genetics
/ Genetic Association Studies
/ Genetic Diseases, Inborn - diagnosis
/ Genetic Diseases, Inborn - genetics
/ Genetic Diseases, Inborn - pathology
/ gene–disease relationships
/ High-Throughput Nucleotide Sequencing - methods
/ Human Genetics
/ Humans
/ Laboratory Medicine
/ Mutation
/ novel disease genes
/ novel genetic etiologies
/ Original
/ original-research-article
/ Whole Exome Sequencing
2017
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Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
Journal Article
Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
2017
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Overview
Diagnostic exome sequencing (DES) is now a commonly ordered test for individuals with undiagnosed genetic disorders. In addition to providing a diagnosis for characterized diseases, exome sequencing has the capacity to uncover novel candidate genes for disease.
Family-based DES included analysis of both characterized and novel genetic etiologies. To evaluate candidate genes for disease in the clinical setting, we developed a systematic, rule-based classification schema.
Testing identified a candidate gene among 7.7% (72/934) of patients referred for DES; 37 (4.0%) and 35 (3.7%) of the genes received evidence scores of “candidate” and “suspected candidate,” respectively. A total of 71 independent candidate genes were reported among the 72 patients, and 38% (27/71) were subsequently corroborated in the peer-reviewed literature. This rate of corroboration increased to 51.9% (27/52) among patients whose gene was reported at least 12 months previously.
Herein, we provide transparent, comprehensive, and standardized scoring criteria for the clinical reporting of candidate genes. These results demonstrate that DES is an integral tool for genetic diagnosis, especially for elucidating the molecular basis for both characterized and novel candidate genetic etiologies. Gene discoveries also advance the understanding of normal human biology and more common diseases.
Publisher
Elsevier Inc,Nature Publishing Group US,Elsevier Limited,Nature Publishing Group
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