Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with a strong genetic component, but its underlying genetic mechanisms remain poorly understood. This study aims to investigate the codon usage patterns in ASD-related genes to better understand their role in gene expression...

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Bibliografiske detaljer
Hovedforfatter: Mozafari, Fatemah
Format: Thesis
Sprog:engelsk
Udgivet: AUW 2025
Online adgang:https://repository.auw.edu.bd/handle/123456789/533
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author Mozafari, Fatemah
author_facet Mozafari, Fatemah
author_sort Mozafari, Fatemah
collection institutional Repository
description Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with a strong genetic component, but its underlying genetic mechanisms remain poorly understood. This study aims to investigate the codon usage patterns in ASD-related genes to better understand their role in gene expression and translational efficiency. Our analysis reveals that ASD genes exhibit a low level of codon usage bias, suggesting the influence of mutational pressure and translational selection. Machine learning models, including Random Forest and SVM, classify genes effectively based on codon usage, highlighting potential regulatory mechanisms. Additionally, our findings show that specific codons and codon pairs in ASD-related genes may influence protein folding and gene regulation. These insights not only advance our understanding of ASD's genetic basis but also open doors for developing targeted therapies that could optimize gene expression in ASD-related pathways.
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spelling 123456789-5332026-02-18T06:09:55Z Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder Dept. of Biological Sciences Mozafari, Fatemah Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with a strong genetic component, but its underlying genetic mechanisms remain poorly understood. This study aims to investigate the codon usage patterns in ASD-related genes to better understand their role in gene expression and translational efficiency. Our analysis reveals that ASD genes exhibit a low level of codon usage bias, suggesting the influence of mutational pressure and translational selection. Machine learning models, including Random Forest and SVM, classify genes effectively based on codon usage, highlighting potential regulatory mechanisms. Additionally, our findings show that specific codons and codon pairs in ASD-related genes may influence protein folding and gene regulation. These insights not only advance our understanding of ASD's genetic basis but also open doors for developing targeted therapies that could optimize gene expression in ASD-related pathways. 2025-07-13T06:41:51Z 2025-07-13T06:41:51Z 2025-04 Thesis https://repository.auw.edu.bd/handle/123456789/533 en application/pdf AUW
spellingShingle Mozafari, Fatemah
Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title_full Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title_fullStr Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title_full_unstemmed Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title_short Codon Usage Signatures and Codon Pair Usage in Genes Implicated in Autism Spectrum Disorder
title_sort codon usage signatures and codon pair usage in genes implicated in autism spectrum disorder
url https://repository.auw.edu.bd/handle/123456789/533
work_keys_str_mv AT mozafarifatemah codonusagesignaturesandcodonpairusageingenesimplicatedinautismspectrumdisorder
AT mozafarifatemah deptofbiologicalsciences