GRAPE

GRAPE detects genetic relatedness between individuals by identifying identity-by-descent (IBD) segments and estimating relationships from genotypic data.

Key Features:

• End-to-End Workflow: Provides a complete computational workflow from genotype preprocessing to relationship estimation.
• Data Preprocessing: Includes preprocessing steps for real-world genotypic datasets to prepare data for analysis.
• Identity-by-Descent (IBD) Segments Detection: Detects IBD segments used to infer genetic relatedness across close and distant kinships.
• Accurate Relationship Estimation: Implements algorithms for precise relationship classification, addressing false positives in analyses such as GWAS.
• Efficiency and Reliability: Demonstrates fast performance and reliability on simulated and real-world datasets.
• Adherence to Standards: Incorporates GA4GH standards and tools to promote interoperability.

Scientific Applications:

• Genome-Wide Association Studies (GWAS): Mitigates false positive results in GWAS by accurately classifying relatedness and population structure.
• Genetic Linkage Analysis: Enables identification of disease-associated loci through precise linkage analysis.
• Direct-to-Consumer Genetic Testing: Supports DNA relatives matching for direct-to-consumer genetic testing services.

Methodology:

Combines genotype preprocessing, IBD segment detection, and relationship estimation into an integrated computational pipeline operating on real-world genotypic data.