IMAGE_R
IMAGE_R maps methylation quantitative trait loci (mQTLs) in bisulfite sequencing data to detect genetic variants associated with DNA methylation variation.
Key Features:
- Statistical methodology: Employs a statistical model tailored for mQTL mapping that accommodates the count nature of bisulfite sequencing data.
- Allele-specific analysis: Integrates allele-specific methylation patterns from heterozygous individuals to increase precision and power of mQTL detection.
- Comparative performance: Demonstrates, via extensive simulation studies, identification of a greater number of mQTLs compared with other existing approaches.
- R package implementation: Provided as an implementation in R for analysis of sequencing-based methylation data.
Scientific Applications:
- mQTL mapping: Applied to bisulfite sequencing studies to map genetic variants associated with DNA methylation levels.
- Genotype–epigenotype associations: Used to elucidate interactions between genetic variants and allele-specific DNA methylation that may influence genotype–trait associations.
- Epigenetic studies of traits and disease: Facilitates investigation of epigenetic mechanisms underlying phenotypic traits and diseases.
Methodology:
Models the count-based nature of bisulfite sequencing data and integrates allele-specific methylation from heterozygous individuals, with performance assessed through extensive simulation studies.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Programming Languages:
- R, C++
- Added:
- 1/9/2020
- Last Updated:
- 1/14/2021
Operations
Publications
Fan Y, Vilgalys TP, Sun S, Peng Q, Tung J, Zhou X. IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis. Genome Biology. 2019;20(1). doi:10.1186/s13059-019-1813-1. PMID:31651351. PMCID:PMC6813132.
PMID: 31651351
PMCID: PMC6813132
Funding: - National Institutes of Health: R01HD088558, R01HG009124
- National Science Foundation: BCS1751783, DMS1712933
- North Carolina Biotechnology Center: 2016-IDG-1013