Research Data

LongITools has access to a very large resource of life-course data including prospective birth cohort studies and longitudinal studies in adults, register-based cohorts, randomised controlled trials, patient databases and maternity and hospital biobanks. These LongITools data sets include data variables on over 11 million European and UK citizens, from 24 different studies. The data variables are wide ranging and include, for example, height, weight, blood composition, employment, lifestyle factors, cholesterol and many more. Where possible, researchers have harmonised the variables in their data sets to an agreed LongITools definition (harmonised model or common data model).

Our team will use the data to try and identify the underlying molecular mechanisms that lead to cardiometabolic diseases, and factors that can modify or meditate these mechanisms to help prevent disease.

Below is a summary of the cohort studies, being used in the research, mapped across the life-course. More details on all of the data sets being used in the project can be found at the bottom of this page and in the project’s profile paper: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable disease.