BMC Medical Genomics · 2019 · 13 citations · 10 references
Life SciencesBiostatisticsGeneticsEpigenomicsGenomic Data AnalysisGenomicsEpigenomic Data AnalysisEpistasisGenome-wide Association StudiesGenotype-phenotype Association AnalysisEpigenome-wide Association StudiesEpistasis AnalysisEpistatic Interaction AnalysisHigher-order InteractionsStatistical EpistasisStatistical Power AnalysisStatistical Power EstimationStatistical Power In Association Studies
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.
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M. Daniele Fallin, Virginia K. Lasseter, Dimitrios Avramopoulos et al. · The American Journal of Human Genetics · 2005 · 399 citations · Full text
Life Sciences, Genetics, Psychiatry +16
Melvin G. McInnis, Danielle M. Dick, Virginia L. Willour et al. · Biological Psychiatry · 2003 · 85 citations
Life Sciences, Genetics, Psychiatry +15
A fast and powerful<i>W</i>-test for pairwise epistasis testing
Maggie Haitian Wang, Rui Sun, Junfeng Guo et al. · Nucleic Acids Research · 2016 · 27 citations · Full text