Diagnosis of childhood and adolescent growth hormone deficiency using transcriptomic data.

ABSTRACT:

Background

Gene expression (GE) data have shown promise as a novel tool to aid in the diagnosis of childhood growth hormone deficiency (GHD) when comparing GHD children to normal children. The aim of this study was to assess the utility of GE data in the diagnosis of GHD in childhood and adolescence using non-GHD short stature children as a control group.

Methods

GE data was obtained from patients undergoing growth hormone stimulation testing. Data were taken for the 271 genes whose expression was utilized in our previous study. The synthetic minority oversampling technique was used to balance the dataset and a random forest algorithm applied to predict GHD status.

Results

24 patients were recruited to the study and eight subsequently diagnosed with GHD. There were no

SUBMITTER: Garner T 

PROVIDER: S-EPMC9973753 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature