GLINT

GLINT performs genome-wide analysis of DNA methylation data from Illumina human methylation arrays to support Epigenome-Wide Association Studies (EWAS) and identify methylation–phenotype or disease associations while accounting for confounders.

Key Features:

• Array support: Analyzes genome-wide DNA methylation data generated by Illumina human methylation arrays.
• EWAS models: Performs Epigenome-Wide Association Study (EWAS) analyses under multiple statistical models.
• Confounder adjustment: Accounts for known confounders in methylation datasets during association testing.
• Implementation: Implemented in Python 2.7 and uses several freely available Python packages.
• Association detection: Identifies associations between DNA methylation patterns and phenotypes or diseases.

Scientific Applications:

• Epigenome-wide association studies (EWAS): Detects associations between genome-wide DNA methylation patterns and phenotypes or disease states using Illumina array data.
• Epigenetics research: Supports investigations of how epigenetic modifications relate to gene expression and contribute to complex traits.
• High-throughput methylation analyses: Applicable to large-scale genome-wide DNA methylation studies based on Illumina human methylation arrays.

Methodology:

Performs EWAS analyses under multiple statistical models and adjusts for known confounders on Illumina human methylation array data using an implementation in Python 2.7 with various Python packages.