VEGAS2

VEGAS2 performs gene-based association testing for genome-wide association studies (GWAS) by modeling single nucleotide polymorphism (SNP) correlations using reference data from the 1,000 Genomes Project across autosomal chromosomes and chromosome X.

Key Features:

• Updated Reference Data: Uses the 1,000 Genomes Project reference panel instead of HapMap2 to model SNP correlations more precisely.
• Modeling of Autosomes and Chromosome X: Models SNP correlations across autosomal chromosomes and extends gene-based tests to chromosome X.
• Flexible Gene Boundary Definition: Allows adjustable gene boundary definitions for tailored gene-based analyses.
• Improved Statistical Performance: Provides increased power and accuracy for detecting gene-trait associations through updated LD modeling.

Scientific Applications:

• GWAS gene-based analysis: Conducts gene-level association tests in genome-wide association studies to detect associations between genes and traits or diseases.
• X-linked association studies: Enables analysis that includes chromosome X and potential X-linked components of traits.
• Investigation of complex genetic architectures: Supports study of the genetic basis of complex traits and conditions by aggregating SNP-level signals at the gene level.

Methodology:

Performs gene-based association tests by integrating SNP correlation models derived from the 1,000 Genomes Project to model SNP correlations across autosomal chromosomes and chromosome X and by allowing adjustable gene boundary definitions.