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Unveiling the Complex SNP Landscape in Lymphoma Through Comprehensive Analysis for Future Functional Interpretation and Therapeutic Applications
Authors
Ethan Zhang
Rubric:Life Sciences
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The successful management of lymphoma increasingly hinges on a deep understanding of its genomic underpinnings, especially for early detection and targeted treatment strategies. The current study focused on the identification and functional categorization of single nucleotide polymorphisms (SNPs) specifically in lymphoma patients. Utilizing whole-genome sequencing data sourced from the Sequence Read Archive[1] , we employed a rigorous analytical pipeline involving sequence alignment against the Homo sapiens chromosome 4 reference genome, followed by indexing, and variant calling. Our investigation led to the discovery of 1072 SNPs, a significant portion of which remain functionally uncharacterized. Among the categorized SNPs, variants were identified that have potential implications for gene regulation, splicing, and protein function. Statistical analyses revealed a significant association between these SNPs and the lymphoma cohort. Our findings offer nuanced insights into the complex genetic landscape of lymphoma and serve as a foundational platform for future research aimed at functional characterization and potential clinical applications. These identified SNPs could serve as potential biomarkers and contribute to the development of more effective diagnostic and therapeutic strategies for lymphoma.
Keywords
Single Nucleotide Polymorphisms (SNPs)
Lymphoma
TET2
Authors
Ethan Zhang
Rubric:Life Sciences
376
1
Share
376
1
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