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jlim [2016/11/18 16:19]
schun [How to run JLIM on your data]
jlim [2016/11/18 16:24]
schun
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 JLIM is a cross-trait test of shared causal effect, which is described in Chun et al. ([[http://​biorxiv.org/​content/​early/​2016/​05/​12/​053165|BioRxiv]]). JLIM tests whether two traits – main and secondary – are driven by shared causal effect or not. Typically, the main trait is a large GWAS study, and secondary trait can be an expression Quantitative Trait Loci (eQTL) association study. For main trait, JLIM takes only summary-level association statistics, but for secondary trait, it requires genotype-level data to generate permutation-based null distribution. JLIM is a cross-trait test of shared causal effect, which is described in Chun et al. ([[http://​biorxiv.org/​content/​early/​2016/​05/​12/​053165|BioRxiv]]). JLIM tests whether two traits – main and secondary – are driven by shared causal effect or not. Typically, the main trait is a large GWAS study, and secondary trait can be an expression Quantitative Trait Loci (eQTL) association study. For main trait, JLIM takes only summary-level association statistics, but for secondary trait, it requires genotype-level data to generate permutation-based null distribution.
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 +===== Download =====
 +{{ :​jlim-1.0.2.tar.gz | JLIM release v1.0.2 }}
  
 ===== How to install ===== ===== How to install =====