DGAT-onco

DGAT-onco analyzes and compares somatic and germline mutational profiles to identify oncogenes by assessing mutation frequency distributions and functional impacts between cancer and natural populations.

Key Features:

• Differential Mutational Profile Analysis: Leverages both somatic mutations and germline mutations to compare mutational profiles between cancerous and natural populations, reducing bias from background mutation modeling.
• Data Sources: Integrates germline variants from the 1000 Genomes Project and somatic mutations from The Cancer Genome Atlas (TCGA) across 33 cancer types.
• Functional Impact Assessment: Evaluates mutation frequency distributions and predicted functional impacts to provide a holistic view of mutational differences relevant to oncogenesis.
• Validation and Performance: Validated on an independent set of 19 cancers and reported to outperform six alternative methods in oncogene discovery, with 22.8% of significant genes verified by the Cancer Gene Census (CGC).

Scientific Applications:

• Oncogene Discovery: Identification of candidate oncogenes by detecting genes with differential mutation patterns and functional impact between cancer and natural populations.
• Cancer Genomics Comparative Analysis: Comparative analysis of somatic versus germline mutation landscapes to elucidate genetic contributors to cancer across multiple cancer types.

Methodology:

Compares somatic mutations from TCGA (33 cancer types) with germline mutations from the 1000 Genomes Project by analyzing and contrasting mutation frequency distributions and predicted functional impacts.