Reducing the search space for causal genetic variants with VASP

Area of Science:

• Genomics and Bioinformatics
• Human Genetics
• Computational Biology

Background:

• High-throughput DNA sequencing of human pedigrees is crucial for identifying genetic causes of diseases.
• Existing single-genome variant analysis tools are insufficient for concurrent analysis within pedigrees, especially when the genetic cause is unknown.
• Analyzing variants across entire pedigrees presents a significant challenge in genetic research.

Purpose of the Study:

• To introduce Variant Analysis of Sequenced Pedigrees (VASP), a novel tool for analyzing genetic variations in human families.
• To provide a flexible data integration environment for summarizing pedigree variation and identifying disease inheritance patterns.
• To enable custom prioritization of single nucleotide variants (SNVs) and small insertions/deletions (indels) within pedigrees.

Main Methods:

• VASP aggregates data across sequenced pedigrees, facilitating comprehensive variant analysis.
• The tool supports powerful filtering and custom prioritization of genetic variants.
• It integrates information on compound heterozygosity and genome phasing.

Main Results:

• VASP provides a summary of pedigree variation, including inheritance patterns.
• The tool allows for efficient reduction of the variant search space using custom criteria.
• It aids both clinical and research users in pinpointing disease-related genetic variants.

Conclusions:

• VASP offers a flexible and powerful solution for analyzing genetic variants in sequenced human pedigrees.
• The tool enhances the ability to identify genetic causes of diseases by enabling custom variant prioritization.
• VASP is a valuable resource for researchers and clinicians investigating genetic disorders within families.