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wtest: an integrated R package for genetic epistasis testing
- Source :
- BMC Medical Genomics, Vol 12, Iss S9, Pp 1-6 (2019), BMC Medical Genomics
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Background With the increasing amount of high-throughput genomic sequencing data, there is a growing demand for a robust and flexible tool to perform interaction analysis. The identification of SNP-SNP, SNP-CpG, and higher order interactions helps explain the genetic etiology of human diseases, yet genome-wide analysis for interactions has been very challenging, due to the computational burden and a lack of statistical power in most datasets. Results The wtest R package performs association testing for main effects, pairwise and high order interactions in genome-wide association study data, and cis-regulation of SNP and CpG sites in genome-wide and epigenome-wide data. The software includes a number of post-test diagnostic and analysis functions and offers an integrated toolset for genetic epistasis testing. Conclusions The wtest is an efficient and powerful statistical tool for integrated genetic epistasis testing. The package is available in CRAN: https://CRAN.R-project.org/package=wtest.
- Subjects :
- 0301 basic medicine
lcsh:Internal medicine
lcsh:QH426-470
Computer science
Epistasis testing
computer.software_genre
Polymorphism, Single Nucleotide
Statistical power
03 medical and health sciences
0302 clinical medicine
Software
Diabetes Mellitus
Genetics
Humans
High order
lcsh:RC31-1245
Genetics (clinical)
Probability
business.industry
Genetic Epistasis
R package
Epistasis, Genetic
Genomics
DNA Methylation
Lipid Metabolism
Human genetics
Association study
lcsh:Genetics
Identification (information)
030104 developmental biology
Pairwise comparison
Data mining
business
computer
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 17558794
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- BMC Medical Genomics
- Accession number :
- edsair.doi.dedup.....fdd41749008e972e95158a9fdf789d36
- Full Text :
- https://doi.org/10.1186/s12920-019-0638-9