论文标题
精确医学时代的基因环境互动 - 修复坑洼还是开始建造新的道路？
Gene-Environment Interaction in the Era of Precision Medicine -- Fix the Potholes or Start Building a New Road?
论文作者
论文摘要
在20世纪的最后十年中，遗传图随着统计程序的发展，将遗传效应的经典模型与分子生物学技术一起发展。最终很明显，这些模型最初是为了实现其他目的而开发的，这暗示了分析分析基因座的不同阶段的局限性，测量其效果并为足够的生物学/医学解释提供其他参数。本文旨在思考是否现实和值得尝试进一步修改遗传效应的经典模型，或者证明采取替代性理论策略更为明智。为了进一步介绍这一辩论，这里修订了基因环境相互作用的数学发展，这是基因环境相互作用的，并在此处进行了修订，并与当前的可用数据赐予的前景相关，尤其是在Precision Medicine的背景下。这些发展加强了克服199大流行所需的方法。
Genetic mapping sprung in the last decade of the 20th century with the development of statistical procedures putting classical models of genetic effects together with molecular biology techniques. It eventually became clear that those models, originally developed to serve other purposes, implied limitations at different stages of the analyses-disclosing loci, measuring their effects and providing additional parameters for adequate biological/medical interpretations. The present paper is aimed to ponder whether it is realistic and worth to try and further amend classical models of genetic effects or it proves more sensible to undertake alternative theoretical strategies instead. In order to further feed into that debate, mathematical developments for gene-environment interaction stemming from the classical models of genetic effects are here revised and brought up-to-date with the prospects present-day available data bestow, particularly in the context of precision medicine. Those developments strengthen the methodology required to overcome the COVID-19 pandemic.
