Abstract B005: Machine learning-enhanced association analysis of ancestry-informative marker SNPs identifies predictors of head and neck cancer status in an underserved population
Abstract Background: Head and neck squamous cell carcinoma (HNSCC) exhibits persistent disparities in incidence, treatment, and survival among underserved populations. Although tobacco use, alcohol consumption, and human papillomavirus infection are established risk factors, inherited genetic variation also contributes...