REVA

REVA curates over 11.8 million experimentally tested human noncoding variants that modulate gene expression to annotate regulatory mechanisms underlying disease- and trait-associated variation.

Key Features:

• Scale: Contains over 11.8 million experimentally tested noncoding variants.
• Functional annotations: Provides 2,424 functional annotation features per variant.
• Experimental validation: Aggregates high-quality experimental tests of expression-modulating effects.
• Data integration: Assembles variant data through systematic screening and integration of multiple large-scale studies.
• Coverage of disease-associated variation: Focuses on noncoding variants that constitute more than 80% of disease- and trait-associated variation.
• Benchmarking resource: Supplies experimentally validated variant data to address limited sensitivity of existing computational prediction tools.

Scientific Applications:

• Functional interpretation: Enable identification of regulatory mechanisms by which noncoding variants affect gene expression.
• Variant prioritization: Support prioritization of candidate noncoding variants in disease- and trait-association studies.
• Large-scale genomic analysis: Provide a validated dataset for genome-wide analyses and benchmarking of computational methods.
• Genetics and translational research: Inform studies of complex traits, diseases, and applications in personalized medicine.

Methodology:

Systematic screening and integration of data from multiple large-scale studies and computational annotation of variants with 2,424 functional features.