Genetic Evaluation of Disease Trajectories in the GCAT cohort
- Research Leader:
- Rafael de Cid, PhD. GCAT Chief Scientist, Genomes for Life-GCAT Lab
- Institution:
- IGTP
PRINCIPAL INVESTIGATORS:
GCAT TEAM
- Rafael de Cid, PhD. GCAT Chief Scientist, Genomes for Life-GCAT Lab, IGTP, Badalona, Spain
- Natalia Blay, PhD student. Genomes for Life-GCAT Lab, IGTP, Badalona, Spain
UPF TEAM
- Laura Furlong, UPF, Barcelona , Spain
- Alexia Gianoula, UPF, Barcelona , Spain
INSTITUTIONS:
- Germans Trias i Pujol Research Institute (IGTP), Catalonia
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
FUNDING AGENCIES: GCAT-VEIS / UPF-VEIS
SUMMARY
An individual develops different diseases throughout his life. The set of diseases that appear in the same individual is known as comorbidity. The coexistence of these diseases can alter their evolution, produce a decrease in the patient's quality of life and even increase mortality (Valderas et al., 2009).
The study of comorbidity and more specifically of the temporal patterns of diseases, these being a set of diseases that appear associated in a high number of individuals and generally in a certain order, can help to understand the mechanisms that cause this disease. Associations will be able to predict the susceptibility of a specific patient to a certain disease (Giannoula et al., 2018).
Main objectives
- Identify trajectories and temporality in an adult cohort
- Determine the key diseases in the definition of morbid trajectories
- Identification of genetic susceptibility
- prognostic value assessment
Secondary objectives
- Evaluate specific gender differences
- Identify what risk factors, such as drug use, lifestyle habits (smoking, alcohol consumption, diet, physical activity) and internal exposome data (metabolome)
- Determine genetic markers and their impact on the definition of disease trajectories
