The current state of genetic risk models for the development of kidney cancer: a review and validation.

ABSTRACT:

Objective

To review the current state of genetic risk models for predicting the development of kidney cancer, by identifying and comparing the performance of published models.

Methods

Risk models were identified from a recent systematic review and the Cancer-PRS web directory. A narrative synthesis of the models, previous validation studies and related genome-wide association studies (GWAS) was carried out. The discrimination and calibration of the identified models was then assessed and compared in the UK Biobank (UKB) cohort (cases, 452; controls, 487 925).

Results

A total of 39 genetic models predicting the development of kidney cancer were identified and 31 were validated in the UKB. Several of the genetic-only models (seven of 25) and most of the mixed genetic-ph

SUBMITTER: Harrison H 

PROVIDER: S-EPMC9790357 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature