FeatSNP: An Interactive Database for Brain-Specific Epigenetic Annotation of Human SNPs

Area of Science:

• Genomics
• Neuroscience
• Bioinformatics

Background:

• Single nucleotide polymorphisms (SNPs) are common genetic variations.
• Understanding the functional impact of SNPs, especially in the human brain, is crucial for disease research.
• Existing tools may lack comprehensive integration of brain-specific data for SNP functional annotation.

Purpose of the Study:

• To introduce FeatSNP, an online tool and database for exploring the functional impact of common SNPs on the human brain.
• To enhance SNP functional annotation by integrating diverse biological datasets.
• To provide an interactive platform for exploring and visualizing SNP functional data.

Main Methods:

• Utilized human brain transcriptomes for functional annotation.
• Integrated transcription factor binding predictions.
• Incorporated public eQTL (expression Quantitative Trait Loci) data.
• Leveraged brain-specific epigenetic landscapes.
• Included Topologically Associating Domain (TAD) information.
• Developed an interactive user interface for single and batched SNP searching.

Main Results:

• FeatSNP provides functional annotations for over 81 million common SNPs.
• The tool integrates multiple data sources to offer a comprehensive view of SNP function in the brain.
• Users can explore functional annotations and generate publication-quality visualizations.
• FeatSNP supports both individual and batch SNP analysis.

Conclusions:

• FeatSNP is a valuable resource for researchers studying the functional genomics of the human brain.
• The integrated approach improves the accuracy and depth of SNP functional annotation.
• The freely available online tool facilitates the exploration of SNP-brain interactions.