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jlim [2017/02/25 00:07]
schun [Joint Likelihood Mapping (JLIM)]
jlim [2019/10/26 15:53] (current)
akle [Download]
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 JLIM is a cross-trait test of shared causal effect, which is described in [[http://​www.nature.com/​ng/​journal/​vaop/​ncurrent/​full/​ng.3795.html|Chun et al. 2017]]. 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 simultaneously released at [[https://​github.com/​cotsapaslab/​jlim|Cotsapas lab github]] and Sunyaev lab website. ​ JLIM is a cross-trait test of shared causal effect, which is described in [[http://​www.nature.com/​ng/​journal/​vaop/​ncurrent/​full/​ng.3795.html|Chun et al. 2017]]. 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 simultaneously released at [[https://​github.com/​cotsapaslab/​jlim|Cotsapas lab github]] and Sunyaev lab website. ​
 ===== Download ===== ===== Download =====
-{{ :jlim-1.0.2.tar.gz | JLIM release v1.0.}}+{{ :jlimr_1.03.tar.gz | JLIM release v1.0.}}
  
 ===== How to install ===== ===== How to install =====