The IGVF catalog-from genetic variation to function

Area of Science:

• Genomics
• Computational Biology
• Systems Biology

Background:

• Genomic variation is crucial for understanding molecular and cellular differences between individuals.
• Linking genomic variation to function and phenotypes requires integrated experimental and computational approaches.

Purpose of the Study:

• To establish the Impact of Genomic Variation on Function (IGVF) Consortium.
• To develop an open-source platform, the IGVF Catalog, for data dissemination and analysis.
• To explore the relationships between genomic variation, genome function, and phenotypes.

Main Methods:

• Utilizing experimental techniques like single-cell mapping and genomic perturbation assays.
• Employing computational approaches including machine learning-based predictive modeling.
• Organizing diverse data types (over 50) within a large-scale graph database (3 billion nodes, 7.5 billion edges).

Main Results:

• The IGVF Catalog integrates data on coding variants' effects on protein abundance and function.
• It includes data on noncoding variants' effects on enhancer activity (MPRA and computational predictions).
• The platform links variants to quantitative traits and provides public API endpoints and a user interface.

Conclusions:

• The IGVF Catalog is a comprehensive, open-access resource for studying genomic variation's impact.
• This platform will facilitate the scientific community's efforts to understand genome function and its role in disease.
• Continued data integration and accessibility are expected to advance the field of genomics.