gJLS2

A Generalized Joint Location and Scale Framework for Association Testing

CRAN Package

An update to the Joint Location-Scale (JLS) testing framework that identifies associated SNPs, gene-sets and pathways with main and/or interaction effects on quantitative traits (Soave et al., 2015; ). The JLS method simultaneously tests the null hypothesis of equal mean and equal variance across genotypes, by aggregating association evidence from the individual location/mean-only and scale/variance-only tests using Fisher's method. The generalized joint location-scale (gJLS) framework has been developed to deal specifically with sample correlation and group uncertainty (Soave and Sun, 2017; ). The current release: gJLS2, include additional functionalities that enable analyses of X-chromosome genotype data through novel methods for location (Chen et al., 2021; ) and scale (Deng et al., 2019; ).

  • Version0.2.0
  • R version≥ 3.6.0
  • LicenseGPL (≥ 3)
  • Needs compilation?No
  • Last release09/30/2021

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  • Depends1 package
  • Imports8 packages
  • Suggests2 packages