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Updated: May 21, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
Published on: August 21, 2016
FunciSNP: an R/bioconductor tool integrating functional non-coding data sets with genetic association studies to
Simon G Coetzee1, Suhn K Rhie, Benjamin P Berman
1Norris Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.
Identifying functional single nucleotide polymorphisms (SNPs) is challenging. This study introduces a software package to prioritize candidate functional SNPs using epigenomic data, aiding complex disease research.
Area of Science:
- Genetics
- Bioinformatics
Background:
- Genome-wide association studies (GWAS) identify tagSNPs for complex disease risk.
- Distinguishing functional SNPs from linked ones, especially in non-coding regions, is difficult.
Purpose of the Study:
- To introduce a novel R/Bioconductor software package for identifying candidate functional SNPs.
- To integrate diverse genomic datasets for improved SNP prioritization.
Main Methods:
- Utilized tagSNP locations and linkage disequilibrium data from the 1000 Genomes Project.
- Integrated non-coding chromatin and epigenomic mapping data.
- Developed an R/Bioconductor package named FunciSNP.
Main Results:
- The software enables the identification of candidate functional SNPs.
- It prioritizes SNPs based on epigenomic features, aiding functional interpretation.
- Facilitates distinguishing potentially functional SNPs from mere genetic associations.
Conclusions:
- The developed software provides a powerful tool for functional SNP discovery.
- This approach enhances the interpretation of GWAS results by prioritizing candidate functional variants.
- Aids in understanding the genetic basis of complex diseases.
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