keloid and hypertrophic scar pose significant health burdens globally. The increasing prevalence of these conditions emphasizes the importance of exploring their epidemiological characteristics and genetic factors. This research project aims to identify and understand the interplay between genetic, environmental, and lifestyle factors in the development and progression of these diseases. Our goal is to elucidate the underlying mechanisms, identify novel biomarkers, and develop risk prediction models for early detection and prevention.
To systematically investigate the risk factors of endocrine and metabolic diseases, we will complete this project within 36 months after data availability. Firstly, we will conduct epidemiological analyses to assess disease prevalence, risk factors, and their associations. Secondly, we will perform genetic analyses to identify genetic variants associated with keloid and hypertrophic scar. Additionally, we will utilize bioinformatic tools and statistical modeling to investigate gene-environment interactions and develop risk prediction models. The findings from this research have the potential to improve disease management, reduce disease burden, and enhance public health outcomes.