Constitutional genetic aberrations behind childhood cancer

Our overall ambition is to study childhood cancer etiology through genetic, epidemiological and machine learning studies based on a novel machine learning algorithm in order to discover novel genes, pathways and molecular mechanisms as well as environmental factors critical in the development of childhood cancer.

Our aim is to discover novel targets for therapy and situations where treatment should be modified to avoid toxicity or therapy resistance and when genetic counselling should be offered the family.

We also want to identify risk factors for cancer development and contribute to the development of surveillance protocols, increase awareness of genetic predisposition and investigate the benefits of integrating germline sequencing into clinical practice in pediatric oncology.

The long-term objective is to identify risk factors and to translate rare phenotypes into gene discoveries and to improve diagnostics and precision medicine in order to reduce morbidity and mortality of cancer in children.