JOURNAL ARTICLE
Unlocking the Genetic Complexity: A Comprehensive Analysis of Autosomal Recessive Disorders and Their Clinical Implications.
Published In: Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 4. P. 4203 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Pandagale, Ashwini A.; Patil, Lalit V. 3 of 3
Abstract
Autosomal recessive disorders, including Tay-Sachs disease, cystic fibrosis, phenylketonuria (PKU), and sickle cell anemia, are significant genetic diseases worldwide. This paper explores their genetic mutations, clinical manifestations, and inheritance patterns. TaySachs disease results from HEXA gene mutations, causing nerve cell ganglioside accumulation. Cystic fibrosis arises from CFTR gene mutations, leading to mucus buildup. PKU stems from PAH gene mutations, causing phenylalanine accumulation and neurological issues. Sickle cell anaemia, caused by HBB gene mutations, leads to abnormal haemoglobin production and red blood cell deformation. Understanding these disorders' genetic basis is vital for accurate diagnosis and treatment development. Advanced genetic testing techniques, like next-generation sequencing, enable early diagnosis and personalized interventions. Ongoing research seeks to understand the interplay of genetic, environmental, and epigenetic factors in disease progression. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Grenze International Journal of Engineering & Technology (GIJET). 2024/06, Vol. 10, Issue 2,Part 4, p4203
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:23955287
- Accession Number:181714975
- Copyright Statement:Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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