Challenges in identifying large germline structural variants for clinical use by long read sequencing.

Area of Science:

• Genomics
• Bioinformatics
• Medical Genetics

Background:

• Genomic structural variations (GSVs) are significant contributors to human genetic diversity.
• GSVs present challenges in patient stratification and disease management.
• Large complex germline structural variations are particularly difficult to detect and analyze.

Purpose of the Study:

• To highlight challenges in detecting large complex germline structural variations.
• To explore the synergy of advanced approaches and IT tools for GSV detection.
• To emphasize the importance of functional validation and data interpretation for clinical application.

Main Methods:

• Utilizing state-of-the-art approaches for genomic variation detection.
• Employing information technology tools to analyze complex structural variations.
• Case study of a clinical presentation with a large complex chromosomal rearrangement.

Main Results:

• Complex structural variation detection, especially for large rearrangements (Mb scale) using long reads, remains a significant challenge.
• No established gold standard exists for identifying these specific genomic variations.
• A clinical case demonstrated the complexities and potential impact of such variations.

Conclusions:

• Functional validation and data interpretation are critical for translating genomic information into actionable knowledge.
• Advancements in detection and analysis are needed to improve patient stratification and targeted treatments.
• New working practices integrating advanced technologies are essential for managing complex genomic variations.