Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders

A guide to web tools to prioritize candidate genes

Finding the most promising genes among large lists of candidate genes has been defined as the gene prioritization problem. It is a recurrent problem in genetics in which genetic conditions are reported to be associated with chromosomal regions. In the last decade, several different computational approaches have been developed to tackle this challenging task. In this study, we review 19 computat...

Walking on multiple disease-gene networks to prioritize candidate genes.

Uncovering causal genes for human inherited diseases, as the primary step toward understanding the pathogenesis of these diseases, requires a combined analysis of genetic and genomic data. Although bioinformatics methods have been designed to prioritize candidate genes resulting from genetic linkage analysis or association studies, the coverage of both diseases and genes in existing methods is ...

Harnessing Gene Expression Networks to Prioritize Candidate Epileptic Encephalopathy Genes

We apply a novel gene expression network analysis to a cohort of 182 recently reported candidate Epileptic Encephalopathy genes to identify those most likely to be true Epileptic Encephalopathy genes. These candidate genes were identified as having single variants of likely pathogenic significance discovered in a large-scale massively parallel sequencing study. Candidate Epileptic Encephalopath...

Title Integration of Multiple Data Sources to Prioritize Candidate Genes Using Discounted Rating System Integration of Multiple Data Sources to Prioritize Candidate Genes Using Discounted Rating System

Background: Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their similarity to known disease genes. Most of existing gene prioritization methods access only one genomic data source, which is noisy and incomplete. Thus, there is a need for the integration of multiple data sources containi...

Whole Exome Sequencing and Large-Scale Targeted Sequencing to Identify Novel Candidate Genes in Idiopathic Short Stature