We propose a computational workflow (I3) for intuitive integrative interpretation of complex genetic data mainly building on the self-organising principle. We illustrate the use in interpreting genetics of gene expression and understanding genetic regulators of protein phenotypes, particularly in conjunction with information from human population genetics and/or evolutionary history of human genes. We reveal that loss-of-function intolerant genes tend to be depleted of tissue-sharing genetics of gene expression in brains, and if highly expressed, have broad effects on the protein phenotypes studied. We suggest that this workflow presents a general solution to the challenge of complex genetic data interpretation. I3 is available at http://suprahex.r-forge.r-project.org/I3.html.

中文翻译：

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I3：用于复杂遗传数据直观综合解释的自组织学习工作流程。

我们提出了一种计算工作流程（I3），主要基于自组织原理，对复杂的遗传数据进行直观的综合解释。我们说明了其在解释基因表达的遗传学和理解蛋白质表型的遗传调节因子中的用途，特别是与人类群体遗传学和/或人类基因进化史的信息相结合。我们发现，功能丧失不耐受基因往往会耗尽大脑中基因表达的组织共享遗传学，如果高度表达，则会对所研究的蛋白质表型产生广泛影响。我们建议该工作流程为复杂遗传数据解释的挑战提供了通用解决方案。I3 可在 http://suprahex.r-forge.r-project.org/I3.html 上获取。