Despite significant advances in genomics and proteomics studies, there is still much we don’t understand about disease mechanisms. One major challenge is the limited patient data needed to study rare disease determinants and the complex interactions between molecules involved in diseases. This study aims to overcome these challenges by examining interconnected diseases together. We will increase the patient sample size and statistical power by researching a group of related diseases rather than a single disease. Our research team, working on disease mechanisms, has developed freely accessible analysis software with novel algorithms. Our study using the UK Biobank will benefit from these innovative analytic methods.
Through this study, we will identify previously unknown genes that cause each disease and disease group and understand how these genes interact with each other and with environmental factors. Additionally, we will discover blood-borne molecules that can help predict disease onset, diagnose diseases, and determine treatment outcomes. Ultimately, we will develop molecular tools for healthcare using state-of-the-art artificial intelligence methods. Our findings could lead to new therapeutic strategies and improve healthcare and treatment for many people.