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Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects
Clinical diagnosis of several neurodegenerative disorders based on clinical phenotype is challenging due to its heterogeneous nature and overlapping disease manifestations. Therefore, the identification of underlying genetic mechanisms is of paramount importance for better diagnosis and therapeutic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417152/ https://www.ncbi.nlm.nih.gov/pubmed/37577182 http://dx.doi.org/10.1590/1980-5764-DN-2022-0025 |
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author | Chandy, Tijimol |
author_facet | Chandy, Tijimol |
author_sort | Chandy, Tijimol |
collection | PubMed |
description | Clinical diagnosis of several neurodegenerative disorders based on clinical phenotype is challenging due to its heterogeneous nature and overlapping disease manifestations. Therefore, the identification of underlying genetic mechanisms is of paramount importance for better diagnosis and therapeutic regimens. With the emergence of next-generation sequencing, it becomes easier to identify all gene variants in the genome simultaneously, with a system-wide and unbiased approach. Presently various bioinformatics databases are maintained on discovered gene variants and phenotypic indications are available online. Since individuals are unique in their genome, evaluation based on their genetic makeup helps evolve the diagnosis, counselling, and treatment process at the personal level. This article aims to briefly summarize the utilization of next-generation sequencing in deciphering the genetic causes of Alzheimer’s disease and address the limitations of whole genome and exome sequencing. |
format | Online Article Text |
id | pubmed-10417152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento |
record_format | MEDLINE/PubMed |
spelling | pubmed-104171522023-08-12 Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects Chandy, Tijimol Dement Neuropsychol View & Review Clinical diagnosis of several neurodegenerative disorders based on clinical phenotype is challenging due to its heterogeneous nature and overlapping disease manifestations. Therefore, the identification of underlying genetic mechanisms is of paramount importance for better diagnosis and therapeutic regimens. With the emergence of next-generation sequencing, it becomes easier to identify all gene variants in the genome simultaneously, with a system-wide and unbiased approach. Presently various bioinformatics databases are maintained on discovered gene variants and phenotypic indications are available online. Since individuals are unique in their genome, evaluation based on their genetic makeup helps evolve the diagnosis, counselling, and treatment process at the personal level. This article aims to briefly summarize the utilization of next-generation sequencing in deciphering the genetic causes of Alzheimer’s disease and address the limitations of whole genome and exome sequencing. Academia Brasileira de Neurologia, Departamento de Neurologia Cognitiva e Envelhecimento 2023-08-07 /pmc/articles/PMC10417152/ /pubmed/37577182 http://dx.doi.org/10.1590/1980-5764-DN-2022-0025 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | View & Review Chandy, Tijimol Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title | Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title_full | Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title_fullStr | Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title_full_unstemmed | Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title_short | Intervention of next-generation sequencing in diagnosis of Alzheimer’s disease: challenges and future prospects |
title_sort | intervention of next-generation sequencing in diagnosis of alzheimer’s disease: challenges and future prospects |
topic | View & Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417152/ https://www.ncbi.nlm.nih.gov/pubmed/37577182 http://dx.doi.org/10.1590/1980-5764-DN-2022-0025 |
work_keys_str_mv | AT chandytijimol interventionofnextgenerationsequencingindiagnosisofalzheimersdiseasechallengesandfutureprospects |