PMC:4572492 / 9441-10194 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4572492","sourcedb":"PMC","sourceid":"4572492","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4572492","text":"Our proposed JLS testing framework, based on the working model of Equation 2, tests the following null hypothesis:H0joint:βG=0andσi=σjforalli≠j,i,j=0,1,2.The alternative hypothesis of interest isH1joint:βG≠0orσi≠σjforsomei≠j.For a SNP under study, different JLS test statistics can be considered. Let pL be the p value for the location test of choice (i.e., testing H0location:βG=0 using, for example, ordinary least-squares regression), and pS be the p value for the scale test of choice (i.e., testing H0scale:σi=σjforalli≠j using, for example, Levene’s test). We first consider Fisher’s method (JLS-Fisher) to combine the association evidence from the individual location and scale tests. The JLS-Fisher statistic is defined asWF=−2(log(pL)+log(pS)).","tracks":[]}