Abstract
Background: Genomics is one of the disciplines of modern medicine that focuses on identifying causative genes and their related variations that may have an impact on complex disorders. Candidate gene association studies are critical for determining the genetic relationship of genomic variations with complicated illnesses. Aim: The goal of this study is to anticipate the likely relationship of PRDM16 gene variations with negative effects on structural and functional features using online computational tools. Methodology: An insilico approach was utilized to find out the rare variant in the PRDM16 gene. Result: We found eight missense variants including rs572205989, rs201814961, rs572178955, rs182452331, rs551202646, rs554705536, rs184929979 and rs573567598that could play a role in the development of disease. Discussion & conclusion: This methodology can be used in future genomes and association studies, but it must be tested in a model organism and cell culture. This research could be useful in personalized therapy and could lead to the discovery of new therapeutic markers for a variety of disorders.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.