gJLS2 - A Generalized Joint Location and Scale Framework for Association
Testing
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; <doi:10.1016/j.ajhg.2015.05.015>).
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;
<doi:10.1111/biom.12651>). The current release: gJLS2, include
additional functionalities that enable analyses of X-chromosome
genotype data through novel methods for location (Chen et al.,
2021; <doi:10.1002/gepi.22422>) and scale (Deng et al., 2019;
<doi:10.1002/gepi.22247>).
