In our study, we explored the genetic intricacies of thyroid cancer, a complex endocrine malignancy, with a primary focus on identifying specific single nucleotide polymorphisms (SNPs) associated with the disease. The multifaceted nature of thyroid cancer, marked by a diversity of genetic variations, underscores the importance of research aimed at decoding its genetic architecture. Our investigation began with a focused examination of the NRAS gene region, noted for its documented significance in thyroid cancer pathogenesis. However, recognizing the potential of a broader genetic landscape, our study expanded to encompass the entirety of chromosome 1. We used Genome-Wide Sequencing data from the Sequence Read Archive and constructed robust pipelines to align sequences against chromosome 1 using the Bowtie 2 tool. The subsequent process involved indexing and variant calling. Our stringent protocols resulted in the identification of over 700 statistically significant SNPs within the thyroid cancer cohort. Interestingly, these SNPs were notably absent in the non-cancer cohort. This revelation accentuates possible genetic foundations of thyroid cancer and emphasizes the genetic disparity between cancer-affected and unaffected cohorts. Our findings suggest that the identified SNPs could be useful in developing innovative strategies for early thyroid cancer diagnosis and prevention.