Work

The added value of genetic information in colorectal cancer risk prediction models: development and evaluation in the UK Biobank prospective cohort study

Year: 2018

Type: article

Abstract: Colorectal cancer (CRC) risk prediction models could be used to risk-stratify the population to provide individually tailored screening provision. Using participants from the UK Biobank prospective cohort study, we evaluated whether the addition of a genetic risk score (GRS) could improve the performance of two previously validated models. Inclusion of the GRS did not appreciably improve discrimination of either model, and led to substantial miscalibration. Following recalibration the discrimination did not change, but good calibration for models incorporating the GRS was recovered. Comparing predictions between models with and without the GRS, 5% of participants or fewer changed their absolute risk by ±0.3% or more in either model. In summary, addition of a GRS did not meaningfully improve the performance of validated CRC-risk prediction models. At present, provision of genetic information is not useful for risk stratification for CRC.

Source: British Journal of Cancer

DOI: 10.1038/s41416-018-0282-8

Authors: Todd Smith, Marc J. Gunter, Ioanna Tzoulaki, David C. Muller

Institutions: MRC Centre for Environment and Health, Imperial College London, Centre international de recherche sur le cancer, University of Ioannina

Language: English

Topic: Colorectal Cancer Screening and Detection

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,342