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W-Test for Genetic Epistasis Testing.
Sun, Rui; Weng, Haoyi; Wang, Maggie Haitian.
Affiliation
  • Sun R; The Chinese University of Hong Kong, Hong Kong, China.
  • Weng H; The Chinese University of Hong Kong, Hong Kong, China.
  • Wang MH; The Chinese University of Hong Kong, Hong Kong, China. maggiew@cuhk.edu.hk.
Methods Mol Biol ; 2212: 45-53, 2021.
Article in En | MEDLINE | ID: mdl-33733349
ABSTRACT
The genetic epistasis effect has been widely acknowledged as an essential contributor to genetic variation in complex diseases. In this chapter, we introduce a powerful and efficient statistical method, called W-test, for genetic epistasis testing. A wtest R package is developed for the implementation of the W-test method, which provides various functions to measure the main effect, pairwise interaction, higher-order interaction, and cis-regulation of SNP-CpG pairs in genetic and epigenetic data. It allows flexible stagewise and exhaustive association testing as well as diagnostic checking on the probability distributions in a user-friendly interface. The wtest package is available in CRAN at https//CRAN.R-project.org/package=wtest .
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / CpG Islands / Polymorphism, Single Nucleotide / Diabetes Mellitus / Epistasis, Genetic Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / CpG Islands / Polymorphism, Single Nucleotide / Diabetes Mellitus / Epistasis, Genetic Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Affiliation country: China