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Resources and tools for rare disease variant interpretation

Collectively, rare genetic disorders affect a substantial portion of the world’s population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeu...

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Autores principales: Licata, Luana, Via, Allegra, Turina, Paola, Babbi, Giulia, Benevenuta, Silvia, Carta, Claudio, Casadio, Rita, Cicconardi, Andrea, Facchiano, Angelo, Fariselli, Piero, Giordano, Deborah, Isidori, Federica, Marabotti, Anna, Martelli, Pier Luigi, Pascarella, Stefano, Pinelli, Michele, Pippucci, Tommaso, Russo, Roberta, Savojardo, Castrense, Scafuri, Bernardina, Valeriani, Lucrezia, Capriotti, Emidio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206239/
https://www.ncbi.nlm.nih.gov/pubmed/37234922
http://dx.doi.org/10.3389/fmolb.2023.1169109
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author Licata, Luana
Via, Allegra
Turina, Paola
Babbi, Giulia
Benevenuta, Silvia
Carta, Claudio
Casadio, Rita
Cicconardi, Andrea
Facchiano, Angelo
Fariselli, Piero
Giordano, Deborah
Isidori, Federica
Marabotti, Anna
Martelli, Pier Luigi
Pascarella, Stefano
Pinelli, Michele
Pippucci, Tommaso
Russo, Roberta
Savojardo, Castrense
Scafuri, Bernardina
Valeriani, Lucrezia
Capriotti, Emidio
author_facet Licata, Luana
Via, Allegra
Turina, Paola
Babbi, Giulia
Benevenuta, Silvia
Carta, Claudio
Casadio, Rita
Cicconardi, Andrea
Facchiano, Angelo
Fariselli, Piero
Giordano, Deborah
Isidori, Federica
Marabotti, Anna
Martelli, Pier Luigi
Pascarella, Stefano
Pinelli, Michele
Pippucci, Tommaso
Russo, Roberta
Savojardo, Castrense
Scafuri, Bernardina
Valeriani, Lucrezia
Capriotti, Emidio
author_sort Licata, Luana
collection PubMed
description Collectively, rare genetic disorders affect a substantial portion of the world’s population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeutic treatments for patients are also challenging. However, the application of recent advancements in genome sequencing/analysis technologies and computer-aided tools for predicting phenotype-genotype associations can bring significant benefits to this field. In this review, we highlight the most relevant online resources and computational tools for genome interpretation that can enhance the diagnosis, clinical management, and development of treatments for rare disorders. Our focus is on resources for interpreting single nucleotide variants. Additionally, we present use cases for interpreting genetic variants in clinical settings and review the limitations of these results and prediction tools. Finally, we have compiled a curated set of core resources and tools for analyzing rare disease genomes. Such resources and tools can be utilized to develop standardized protocols that will enhance the accuracy and effectiveness of rare disease diagnosis.
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spelling pubmed-102062392023-05-25 Resources and tools for rare disease variant interpretation Licata, Luana Via, Allegra Turina, Paola Babbi, Giulia Benevenuta, Silvia Carta, Claudio Casadio, Rita Cicconardi, Andrea Facchiano, Angelo Fariselli, Piero Giordano, Deborah Isidori, Federica Marabotti, Anna Martelli, Pier Luigi Pascarella, Stefano Pinelli, Michele Pippucci, Tommaso Russo, Roberta Savojardo, Castrense Scafuri, Bernardina Valeriani, Lucrezia Capriotti, Emidio Front Mol Biosci Molecular Biosciences Collectively, rare genetic disorders affect a substantial portion of the world’s population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeutic treatments for patients are also challenging. However, the application of recent advancements in genome sequencing/analysis technologies and computer-aided tools for predicting phenotype-genotype associations can bring significant benefits to this field. In this review, we highlight the most relevant online resources and computational tools for genome interpretation that can enhance the diagnosis, clinical management, and development of treatments for rare disorders. Our focus is on resources for interpreting single nucleotide variants. Additionally, we present use cases for interpreting genetic variants in clinical settings and review the limitations of these results and prediction tools. Finally, we have compiled a curated set of core resources and tools for analyzing rare disease genomes. Such resources and tools can be utilized to develop standardized protocols that will enhance the accuracy and effectiveness of rare disease diagnosis. Frontiers Media S.A. 2023-05-10 /pmc/articles/PMC10206239/ /pubmed/37234922 http://dx.doi.org/10.3389/fmolb.2023.1169109 Text en Copyright © 2023 Licata, Via, Turina, Babbi, Benevenuta, Carta, Casadio, Cicconardi, Facchiano, Fariselli, Giordano, Isidori, Marabotti, Martelli, Pascarella, Pinelli, Pippucci, Russo, Savojardo, Scafuri, Valeriani and Capriotti. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Licata, Luana
Via, Allegra
Turina, Paola
Babbi, Giulia
Benevenuta, Silvia
Carta, Claudio
Casadio, Rita
Cicconardi, Andrea
Facchiano, Angelo
Fariselli, Piero
Giordano, Deborah
Isidori, Federica
Marabotti, Anna
Martelli, Pier Luigi
Pascarella, Stefano
Pinelli, Michele
Pippucci, Tommaso
Russo, Roberta
Savojardo, Castrense
Scafuri, Bernardina
Valeriani, Lucrezia
Capriotti, Emidio
Resources and tools for rare disease variant interpretation
title Resources and tools for rare disease variant interpretation
title_full Resources and tools for rare disease variant interpretation
title_fullStr Resources and tools for rare disease variant interpretation
title_full_unstemmed Resources and tools for rare disease variant interpretation
title_short Resources and tools for rare disease variant interpretation
title_sort resources and tools for rare disease variant interpretation
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206239/
https://www.ncbi.nlm.nih.gov/pubmed/37234922
http://dx.doi.org/10.3389/fmolb.2023.1169109
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