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GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation
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 interp...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857790/ https://www.ncbi.nlm.nih.gov/pubmed/35180879 http://dx.doi.org/10.1186/s12920-022-01166-3 |
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author | 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 |
author_facet | 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 |
author_sort | Manshaei, Roozbeh |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01166-3. |
format | Online Article Text |
id | pubmed-8857790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88577902022-02-23 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 BMC Med Genomics Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01166-3. BioMed Central 2022-02-18 /pmc/articles/PMC8857790/ /pubmed/35180879 http://dx.doi.org/10.1186/s12920-022-01166-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software 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 GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title | GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title_full | GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title_fullStr | GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title_full_unstemmed | GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title_short | GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
title_sort | geneterpret: a customizable multilayer approach to genomic variant prioritization and interpretation |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857790/ https://www.ncbi.nlm.nih.gov/pubmed/35180879 http://dx.doi.org/10.1186/s12920-022-01166-3 |
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