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GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation.
Manshaei, Roozbeh; DeLong, Sean; Andric, Veronica; Joshi, Esha; Okello, John B A; Dhir, Priya; Somerville, Cherith; Farncombe, Kirsten M; Kalbfleisch, Kelsey; Jobling, Rebekah K; Scherer, Stephen W; Kim, Raymond H; Hosseini, S Mohsen.
Afiliação
  • Manshaei R; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • DeLong S; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Andric V; Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada.
  • Joshi E; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Okello JBA; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Dhir P; Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Somerville C; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Farncombe KM; MIT Sloan School of Management, Massachusetts Institute of Technology, 100 Main Street, Cambridge, MA, 02142, USA.
  • Kalbfleisch K; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Jobling RK; Faculty of Medicine, University of Toronto, Toronto, ON, M5S1A8, Canada.
  • Scherer SW; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
  • Kim RH; Ted Rogers Centre for Heart Research, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
  • Hosseini SM; Ted Rogers Centre for Heart Research, Cardiac Genome Clinic, The Hospital for Sick Children, Toronto, ON, Canada.
BMC Med Genomics ; 15(1): 31, 2022 02 18.
Article em En | MEDLINE | ID: mdl-35180879
ABSTRACT

BACKGROUND:

Variant interpretation is the main bottleneck in medical genomic sequencing efforts. This usually involves genome analysts manually searching through a multitude of independent databases, often with the aid of several, mostly independent, computational tools. To streamline variant interpretation, we developed the GeneTerpret platform which collates data from current interpretation tools and databases, and applies a phenotype-driven query to categorize the variants identified in the genome(s). The platform assigns quantitative validity scores to genes by query and assembly of the genotype-phenotype data, sequence homology, molecular interactions, expression data, and animal models. It also uses the American College of Medical Genetics and Genomics (ACMG) criteria to categorize variants into five tiers of pathogenicity. The final output is a prioritized list of potentially causal variants/genes.

RESULTS:

We tested GeneTerpret by comparing its performance to expert-curated genes (ClinGen's gene-validity database) and variant pathogenicity reports (DECIPHER database). Output from GeneTerpret was 97.2% and 83.5% concordant with the expert-curated sources, respectively. Additionally, similar concordance was observed when GeneTerpret's performance was compared with our internal expert-interpreted clinical datasets.

CONCLUSIONS:

GeneTerpret is a flexible platform designed to streamline the genome interpretation process, through a unique interface, with improved ease, speed and accuracy. This modular and customizable system allows the user to tailor the component-programs in the analysis process to their preference. GeneTerpret is available online at https//geneterpret.com .
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genômica Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genômica Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article