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.
我们提出了一种基于自组织原理的复杂遗传数据直观整合解析计算流程（I3）。应用于该流程，特别是结合人类群体遗传学、人类基因进化史的信息，我们解析了基因表达遗传调控、蛋白质表型遗传调控。我们发现，功能丧失不耐受基因在大脑中不受控于基因表达遗传调控；如果高表达，对已研究蛋白质表型产生了广泛影响。我们认为，该流程将为复杂遗传数据解析挑战提供了一个通用的解决方案。I3可从http://suprahex.r-forge.r-project.org/I3.html获得。





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