KidneyNetwork: using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease.

ABSTRACT: Genetic testing in patients with suspected hereditary kidney disease may not reveal the genetic cause for the disorder as potentially pathogenic variants can reside in genes that are not yet known to be involved in kidney disease. We have developed KidneyNetwork, that utilizes tissue-specific expression to inform candidate gene prioritization specifically for kidney diseases. KidneyNetwork is a novel method constructed by integrating a kidney RNA-sequencing co-expression network of 878 samples with a multi-tissue network of 31,499 samples. It uses expression patterns and established gene-phenotype associations to predict which genes could be related to what (disease) phenotypes in an unbiased manner. We applied KidneyNetwork to rare variants in exome sequencing data from 13 kidney disease

SUBMITTER: Boulogne F 

PROVIDER: S-EPMC10620423 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature