Kafkafi Neri, Benjamini Yoav, Sakov Anat, Elmer Greg I, Golani Ilan
Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD 21228, USA.
Proc Natl Acad Sci U S A. 2005 Mar 22;102(12):4619-24. doi: 10.1073/pnas.0409554102. Epub 2005 Mar 11.
In behavior genetics, behavioral patterns of mouse genotypes, such as inbred strains, crosses, and knockouts, are characterized and compared to associate them with particular gene loci. Such genotype differences, however, are usually established in single-laboratory experiments, and questions have been raised regarding the replicability of the results in other laboratories. A recent multilaboratory experiment found significant laboratory effects and genotype x laboratory interactions even after rigorous standardization, raising the concern that results are idiosyncratic to a particular laboratory. This finding may be regarded by some critics as a serious shortcoming in behavior genetics. A different strategy is offered here: (i) recognize that even after investing much effort in identifying and eliminating causes for laboratory differences, genotype x laboratory interaction is an unavoidable fact of life. (ii) Incorporate this understanding into the statistical analysis of multilaboratory experiments using the mixed model. Such a statistical approach sets a higher benchmark for finding significant genotype differences. (iii) Develop behavioral assays and endpoints that are able to discriminate genetic differences even over the background of the interaction. (iv) Use the publicly available multilaboratory results in single-laboratory experiments. We use software-based strategy for exploring exploration (see) to analyze the open-field behavior in eight genotypes across three laboratories. Our results demonstrate that replicable behavioral measures can be practically established. Even though we address the replicability problem in behavioral genetics, our strategy is also applicable in other areas where concern about replicability has been raised.
在行为遗传学中,对小鼠基因型的行为模式进行表征和比较,例如近交系、杂交种和基因敲除小鼠,以便将它们与特定的基因位点联系起来。然而,这种基因型差异通常是在单一实验室实验中确定的,对于这些结果在其他实验室的可重复性也引发了一些问题。最近的一项多实验室实验发现,即使经过严格的标准化,仍存在显著的实验室效应以及基因型与实验室的相互作用,这引发了人们对结果是特定实验室所特有的担忧。一些批评者可能会将这一发现视为行为遗传学中的一个严重缺陷。本文提出了一种不同的策略:(i)认识到即使在投入大量精力识别和消除实验室差异的原因之后,基因型与实验室的相互作用仍是生活中不可避免的事实。(ii)将这种认识纳入使用混合模型的多实验室实验的统计分析中。这种统计方法为发现显著的基因型差异设定了更高的标准。(iii)开发能够在相互作用背景下区分遗传差异的行为测定方法和终点指标。(iv)在单一实验室实验中使用公开可用的多实验室结果。我们使用基于软件的探索策略(见)来分析三个实验室中八种基因型的旷场行为。我们的结果表明,可以切实建立可重复的行为测量方法。尽管我们解决了行为遗传学中的可重复性问题,但我们的策略也适用于其他引发了对可重复性担忧的领域