Polygenic Risk Score for Early Prediction of Sepsis Risk in the Polytrauma Screening Cohort.

ABSTRACT:

Background

Increasing genetic variants associated with sepsis have been identified by candidate-gene and genome-wide association studies, but single variants conferred minimal alterations in risk prediction. Our aim is to evaluate whether a weighted genetic risk score (wGRS) that aggregates information from multiple variants could improve risk discrimination of traumatic sepsis.

Methods

Sixty-four genetic variants potential relating to sepsis were genotyped in Chinese trauma cohort. Genetic variants with mean decrease accuracy (MDA) > 1.0 by random forest algorithms were selected to construct the multilocus wGRS. The area under the curve (AUC) and net reclassification improvement (NRI) were adopted to evaluate the discriminatory and reclassification ability of weighted genet

SUBMITTER: Lu H 

PROVIDER: S-EPMC7689156 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature