: 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.

Licata, L., Via, A., Turina, P., Babbi, G., Benevenuta, S., Carta, C., et al. (2023). Resources and tools for rare disease variant interpretation. FRONTIERS IN MOLECULAR BIOSCIENCES, 10, 1169109 [10.3389/fmolb.2023.1169109].

Resources and tools for rare disease variant interpretation

Licata, Luana;Via, Allegra;
2023-01-01

Abstract

: 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.
2023
Pubblicato
Rilevanza internazionale
Recensione
Esperti anonimi
Settore BIO/18 - GENETICA
English
Con Impact Factor ISI
genetic disorder
genome interpretation
genotype-phenotype association
machine learning
precision medicine
rare disease
single nucleotide variant (SNV)
Licata, L., Via, A., Turina, P., Babbi, G., Benevenuta, S., Carta, C., et al. (2023). Resources and tools for rare disease variant interpretation. FRONTIERS IN MOLECULAR BIOSCIENCES, 10, 1169109 [10.3389/fmolb.2023.1169109].
Licata, L; Via, A; Turina, P; Babbi, G; Benevenuta, S; Carta, C; Casadio, R; Cicconardi, A; Facchiano, A; Fariselli, P; Giordano, D; Isidori, F; Marabotti, A; Martelli, Pl; Pascarella, S; Pinelli, M; Pippucci, T; Russo, R; Savojardo, C; Scafuri, B; Valeriani, L; Capriotti, E
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/325306
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