Polygenic risk prediction models for colorectal cancer: a systematic review.

ABSTRACT:

Background

Risk prediction models incorporating single nucleotide polymorphisms (SNPs) could lead to individualized prevention of colorectal cancer (CRC). However, the added value of incorporating SNPs into models with only traditional risk factors is still not clear. Hence, our primary aim was to summarize literature on risk prediction models including genetic variants for CRC, while our secondary aim was to evaluate the improvement of discriminatory accuracy when adding SNPs to a prediction model with only traditional risk factors.

Methods

We conducted a systematic review on prediction models incorporating multiple SNPs for CRC risk prediction. We tested whether a significant trend in the increase of Area Under Curve (AUC) according to the number of SNPs could be observed,

SUBMITTER: Sassano M 

PROVIDER: S-EPMC8760647 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature