Our research aims to investigate the relationship between non-communicable diseases (NCDs) and coronary artery disease (CAD) in the context of diverse ancestry populations. We are interested in understanding the causal relationship between different risk factors and CAD and understanding how, if any, the relationship differs across populations. Previous studies have shown a link between NCDs and CAD, however the causal relationship between the two, especially in diverse ancestry populations, is not yet well understood. By looking at ancestry-specific genetic factors associated with each trait through a methodology called Mendelian Randomization, we hope to uncover population-specific differences in the biological development of CAD.
The proposed data sources for our study are consortia with previously collected genome-wide association data, with our project expected to last several months, as we need time to collect, prepare and analyse the data. Understanding the relationship between different NCDs and CAD can have a significant impact on public health. If we can confirm a causal link between the two and identify ancestry-specific genetic differences in their relationship, it will help healthcare providers develop better preventive strategies and targeted interventions on a global scale. This means we can better support individuals diagnosed with different NCDs to reduce their risk of developing heart disease, ultimately improving overall health outcomes for everyone.
Our research aims not only to deepen scientific understanding but also contribute towards research focused on translating such findings into tangible benefits for individuals and communities on a global scale. Through a comprehensive exploration of the relationship between NCDs and CAD, it is with hope that our research contributes towards the development of more personalised and effective healthcare interventions, ultimately enhancing the health and well-being of individuals affected by NCDs.
