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Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation
BACKGROUND: Hereditary angioedema is a rare genetic condition caused by C1 esterase inhibitor deficiency, dysfunction, or kinin cascade dysregulation, leading to an increased bradykinin plasma concentration. Hereditary angioedema is a poorly recognized clinical entity and is very often misdiagnosed...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584987/ https://www.ncbi.nlm.nih.gov/pubmed/33034563 http://dx.doi.org/10.2196/19040 |
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author | Mendoza-Alvarez, Alejandro Muñoz-Barrera, Adrián Rubio-Rodríguez, Luis Alberto Marcelino-Rodriguez, Itahisa Corrales, Almudena Iñigo-Campos, Antonio Callero, Ariel Perez-Rodriguez, Eva Garcia-Robaina, Jose Carlos González-Montelongo, Rafaela Lorenzo-Salazar, Jose Miguel Flores, Carlos |
author_facet | Mendoza-Alvarez, Alejandro Muñoz-Barrera, Adrián Rubio-Rodríguez, Luis Alberto Marcelino-Rodriguez, Itahisa Corrales, Almudena Iñigo-Campos, Antonio Callero, Ariel Perez-Rodriguez, Eva Garcia-Robaina, Jose Carlos González-Montelongo, Rafaela Lorenzo-Salazar, Jose Miguel Flores, Carlos |
author_sort | Mendoza-Alvarez, Alejandro |
collection | PubMed |
description | BACKGROUND: Hereditary angioedema is a rare genetic condition caused by C1 esterase inhibitor deficiency, dysfunction, or kinin cascade dysregulation, leading to an increased bradykinin plasma concentration. Hereditary angioedema is a poorly recognized clinical entity and is very often misdiagnosed as a histaminergic angioedema. Despite its genetic nature, first-line genetic screening is not integrated in routine diagnosis. Consequently, a delay in the diagnosis, and inaccurate or incomplete diagnosis and treatment of hereditary angioedema are common. OBJECTIVE: In agreement with recent recommendations from the International Consensus on the Use of Genetics in the Management of Hereditary Angioedema, to facilitate the clinical diagnosis and adapt it to the paradigm of precision medicine and next-generation sequencing–based genetic tests, we aimed to develop a genetic annotation tool, termed Hereditary Angioedema Database Annotation (HADA). METHODS: HADA is built on top of a database of known variants affecting function, including precomputed pathogenic assessment of each variant and a ranked classification according to the current guidelines from the American College of Medical Genetics and Genomics. RESULTS: HADA is provided as a freely accessible, user-friendly web-based interface with versatility for the entry of genetic information. The underlying database can also be incorporated into automated command-line stand-alone annotation tools. CONCLUSIONS: HADA can achieve the rapid detection of variants affecting function for different hereditary angioedema types, and further integrates useful information to reduce the diagnosis odyssey and improve its delay. |
format | Online Article Text |
id | pubmed-7584987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-75849872020-10-28 Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation Mendoza-Alvarez, Alejandro Muñoz-Barrera, Adrián Rubio-Rodríguez, Luis Alberto Marcelino-Rodriguez, Itahisa Corrales, Almudena Iñigo-Campos, Antonio Callero, Ariel Perez-Rodriguez, Eva Garcia-Robaina, Jose Carlos González-Montelongo, Rafaela Lorenzo-Salazar, Jose Miguel Flores, Carlos J Med Internet Res Original Paper BACKGROUND: Hereditary angioedema is a rare genetic condition caused by C1 esterase inhibitor deficiency, dysfunction, or kinin cascade dysregulation, leading to an increased bradykinin plasma concentration. Hereditary angioedema is a poorly recognized clinical entity and is very often misdiagnosed as a histaminergic angioedema. Despite its genetic nature, first-line genetic screening is not integrated in routine diagnosis. Consequently, a delay in the diagnosis, and inaccurate or incomplete diagnosis and treatment of hereditary angioedema are common. OBJECTIVE: In agreement with recent recommendations from the International Consensus on the Use of Genetics in the Management of Hereditary Angioedema, to facilitate the clinical diagnosis and adapt it to the paradigm of precision medicine and next-generation sequencing–based genetic tests, we aimed to develop a genetic annotation tool, termed Hereditary Angioedema Database Annotation (HADA). METHODS: HADA is built on top of a database of known variants affecting function, including precomputed pathogenic assessment of each variant and a ranked classification according to the current guidelines from the American College of Medical Genetics and Genomics. RESULTS: HADA is provided as a freely accessible, user-friendly web-based interface with versatility for the entry of genetic information. The underlying database can also be incorporated into automated command-line stand-alone annotation tools. CONCLUSIONS: HADA can achieve the rapid detection of variants affecting function for different hereditary angioedema types, and further integrates useful information to reduce the diagnosis odyssey and improve its delay. JMIR Publications 2020-10-09 /pmc/articles/PMC7584987/ /pubmed/33034563 http://dx.doi.org/10.2196/19040 Text en ©Alejandro Mendoza-Alvarez, Adrián Muñoz-Barrera, Luis Alberto Rubio-Rodríguez, Itahisa Marcelino-Rodriguez, Almudena Corrales, Antonio Iñigo-Campos, Ariel Callero, Eva Perez-Rodriguez, Jose Carlos Garcia-Robaina, Rafaela González-Montelongo, Jose Miguel Lorenzo-Salazar, Carlos Flores. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.10.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Mendoza-Alvarez, Alejandro Muñoz-Barrera, Adrián Rubio-Rodríguez, Luis Alberto Marcelino-Rodriguez, Itahisa Corrales, Almudena Iñigo-Campos, Antonio Callero, Ariel Perez-Rodriguez, Eva Garcia-Robaina, Jose Carlos González-Montelongo, Rafaela Lorenzo-Salazar, Jose Miguel Flores, Carlos Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title | Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title_full | Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title_fullStr | Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title_full_unstemmed | Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title_short | Interactive Web-Based Resource for Annotation of Genetic Variants Causing Hereditary Angioedema (HADA): Database Development, Implementation, and Validation |
title_sort | interactive web-based resource for annotation of genetic variants causing hereditary angioedema (hada): database development, implementation, and validation |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584987/ https://www.ncbi.nlm.nih.gov/pubmed/33034563 http://dx.doi.org/10.2196/19040 |
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