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Insignificance of Variant Analysis in Neuropsychiatric Disorders

Vaishnavi , Vaishnavi1 , Shrijal Singh2 , Prachi Srivastava3

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International Journal of Neurology and Neurosurgery 16 (3-4 ):p 61-66, July-December 2024. | DOI: http://dx.doi.org/10.21088/ijnns.0975.0223.163424.3

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Vaishnavi, Shrijal Singh and Prachi Srivastava, Insignificance of Variant Analysis in Neuropsychiatric Disorders. International Journal of Neurology and Neurosurgery. 2024;16(3-4):61-66.
 

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Received : N/A         Accepted : N/A          Published : N/A

Abstract

Neuropsychiatric disorders encompass a wide range of complex disorders where not only the brain of an affected individual but also their behaviour is poorly affected. These disorders include attention deficit hyperactivity disorder (ADHD), eating disorders, Bipolar disorder, Schizophrenia and Autism, arising from the complex interplay of different factors like environment, genetics and epigenetics. Among all genetics plays quite a significant role in the progression of these disorders. Genetic variants like SNPs, CNVs and genetic mutations are important in influencing the progression of these disorders. Several technologies such as Genome-wide association studies can be used to identify the key gene loci and pathways for the progression of neuropsychiatric disorders. This article aims to have an overview of all genetic variants of various neuropsychiatric conditions with an understanding of their pathways. Moreover, it also highlights different techniques that are used in finding these key gene variants. Also, the complexities that create challenges to genetic variant analysis for medical relevance and how upcoming technologies be used to overcome this problem.
 

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Cite this article

Vaishnavi, Shrijal Singh and Prachi Srivastava, Insignificance of Variant Analysis in Neuropsychiatric Disorders. International Journal of Neurology and Neurosurgery. 2024;16(3-4):61-66.
 

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DOI: http://dx.doi.org/10.21088/ijnns.0975.0223.163424.3

Keywords

Neuropsychiatric disordersBipolar disorderSchizophreniaAnxietyCRISPR-Cas9omicsgene lociSNPsCNVs and Genome-wide association studies (GWAS).

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