ConanVarvar

ConanVarvar detects large copy number variants (CNVs) associated with known genetic syndromes from whole-genome sequencing (WGS) data, focusing on clinically relevant CNVs typically in the 1–5 megabase (Mb) range.

Key Features:

• Targeted analysis workflow: Implements a workflow tailored for detection of large germline CNVs from WGS data, emphasizing variants in the 1–5 Mb range.
• Annotation of syndromic conditions: Annotates identified CNVs with information related to 56 associated syndromic conditions.
• Benchmarking performance: Benchmarked against four other programs using datasets containing real and simulated syndromic CNVs >1 Mb, reporting 10–30-fold fewer false positives while maintaining sensitivity.
• High-throughput efficiency: Optimized for speed when processing large batches of samples.

Scientific Applications:

• Primary disease sequencing analyses: Detects and annotates large syndromic CNVs to support investigation of genetic causes of disorders and aid diagnostic interpretation in clinical genomics research.

Methodology:

Implements a workflow for analysis of large germline CNVs from WGS data; annotates CNVs using a set of 56 syndromic condition mappings; benchmarking was performed against four other programs on datasets with real and simulated syndromic CNVs >1 Mb, reporting 10–30-fold fewer false positives while maintaining sensitivity.