Research has made advancements in single-cell eQTL fine-mapping, leveraging cell-type specificity and similarity to improve results. Various studies have applied new frameworks and techniques, such as deep learning and statistical models, to better understand gene regulation and identify risk variants in specific cell types and diseases. These developments may offer new insights into complex human diseases, including brain disorders, atrial fibrillation, and immune-related diseases.