snpGeneSets
snpGeneSets annotates and analyzes genome-wide study (GWS) results by mapping single nucleotide polymorphisms (SNPs) to genes and gene sets, estimating gene-level effects from SNP associations, and performing gene set enrichment analyses to interpret SNPs, gene expression, and gene-set associations.
Key Features:
- Integration of local knowledge bases: Incorporates local copies of comprehensive databases for SNPs, genes, and gene sets to support annotation and mapping.
- R wrapper functions: Exposes wrapper functions in R to access low-level databases and programmatically perform annotation tasks.
- Support for next-generation sequencing GWS results: Targets annotation and analysis of genome-wide study outputs generated from next-generation sequencing technologies.
- Genomic mapping and functional annotation: Provides genomic mapping annotations for SNPs and genes and functional annotations for gene sets.
- Bidirectional mapping: Supports mapping from SNPs to genes and from genes to gene sets, and the reverse directions.
- Gene effect measures and enrichment analyses: Calculates gene effect measures from SNP associations and performs gene set enrichment analyses.
Scientific Applications:
- Annotation and enrichment of GWS results: Annotates genome-wide study results and performs enrichment analyses to identify functional pathways and biological implications.
- Type 2 diabetes (T2D) GWAS (NHGRI GWAS catalog): Applied to T2D results from the NHGRI GWAS catalog for annotation and pathway-level interpretation.
- Finnish GWAS: Applied to a Finnish genome-wide association study for SNP-to-gene and gene-set annotation.
- Genome-wide expression study (GWES): Applied to GWES data to relate gene expression signals to SNPs and gene sets.
Methodology:
Leverages local knowledge bases and R-based wrapper functions to access low-level databases, performs genomic mapping annotations for SNPs and genes, supports bidirectional SNP↔gene and gene↔gene-set mapping, calculates gene effect measures from SNP associations, and executes gene set enrichment analyses.
Topics
Details
- License:
- Other
- Tool Type:
- command-line tool
- Operating Systems:
- Windows
- Programming Languages:
- R
- Added:
- 10/20/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Mei H, Li L, Jiang F, Simino J, Griswold M, Mosley T, Liu S. <i>snpGeneSets</i>: An <i>R</i> Package for Genome-Wide Study Annotation. G3 Genes|Genomes|Genetics. 2016;6(12):4087-4095. doi:10.1534/g3.116.034694. PMID:27807048. PMCID:PMC5144977.