Swedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Box 7078, SE-750 07 Uppsala, Sweden.
Trends Genet. 2013 Dec;29(12):669-76. doi: 10.1016/j.tig.2013.09.006. Epub 2013 Oct 23.
Quantitative genetics traces its roots back through more than a century of theory, largely formed in the absence of directly observable genotype data, and has remained essentially unchanged for decades. By contrast, molecular genetics arose from direct observations and is currently undergoing rapid changes, making the amount of available data ever greater. Thus, the two disciplines are disparate both in their origins and their current states, yet they address the same fundamental question: how does the genotype affect the phenotype? The rapidly accumulating genomic data necessitate sophisticated analysis, but many of the current tools are adaptations of methods designed during the early days of quantitative genetics. We argue here that the present analysis paradigm in quantitative genetics is at its limits in regards to unraveling complex traits and it is necessary to re-evaluate the direction that genetic research is taking for the field to realize its full potential.
数量遗传学的理论可以追溯到一个多世纪以前,主要是在没有直接可观察基因型数据的情况下形成的,几十年来基本没有变化。相比之下,分子遗传学是从直接观察中发展而来的,目前正在经历快速变化,使得可用数据量不断增加。因此,这两个学科在起源和当前状态上都存在差异,但它们都在解决同一个基本问题:基因型如何影响表型?快速积累的基因组数据需要复杂的分析,但目前许多工具都是在定量遗传学早期设计的方法的基础上改编而来的。我们在这里认为,定量遗传学中目前的分析范式在解析复杂性状方面已经达到了极限,有必要重新评估遗传研究的方向,以使该领域充分发挥其潜力。