GeneTIER

GeneTIER prioritizes candidate disease genes by integrating tissue-specific gene expression datasets to rank genes by their likelihood of involvement in disease.

Key Features:

• Data-driven prioritization: Leverages experimental tissue-specific gene expression datasets to minimize biases associated with knowledge-based inference.
• Systematic ranking: Analyzes and ranks large sets of candidate genes based on their likelihood of being disease-causing.
• Case study validation: Demonstrated performance and limitations through case study examples.

Scientific Applications:

• Linkage and sequencing studies: Prioritizes candidate genes identified by linkage studies or high-throughput sequencing, including regions with numerous non-synonymous variants.
• Tissue-specific disease relevance: Uses tissue-specific expression patterns to identify genes whose expression profiles support relevance to particular diseases.

Methodology:

Integrates experimental tissue-specific gene expression datasets into a prioritization algorithm that systematically analyzes and ranks candidate genes by estimated disease relevance.