Eaves Lindon
Virginia Institute for Psychiatric and Behavioral Genetics,Richmond,VA,USA.
Twin Res Hum Genet. 2017 Jun;20(3):187-196. doi: 10.1017/thg.2017.19. Epub 2017 May 24.
There continues to be significant investment in the detection of genotype × environment interaction (G × E) in psychiatric genetics. The implications of the method of assessment for the genetic analysis of psychiatric disorders are examined for simulated twin data on symptom scores and environmental covariates.
Additive and independent genetic and environmental risks were simulated for 10,000 monozygotic (MZ) and 10,000 dizygotic (DZ) twin pairs and the 'subjects' administered typical simulated checklists of clinical symptoms and environmental factors. A variety of standard tests for G × E were applied to the simulated additive risk scores, sum scores derived from the checklists and transformed sum scores.
All analyses revealed no evidence for G × E for latent risk but marked evidence for G × E and other effects of modulation in the sum scores. These effects were all removed by transformation. An integrated genetic and psychometric model, accounting for both the causes of latent liability and a theory of measurement, was fitted to a sample of the simulated sum-score data and showed that there was no significant modulation of the parameters of the genetic model by environmental covariates (i.e., no G × E).
Claims to detect G × E based on analytical methods that ignore the theory of measurement must be subjected to greater scrutiny prior to publication.
在精神遗传学中，对基因型×环境交互作用（G×E）检测的投资仍在持续大幅增加。针对症状评分和环境协变量的模拟双胞胎数据，研究了评估方法对精神障碍遗传分析的影响。
为10000对同卵（MZ）双胞胎和10000对异卵（DZ）双胞胎模拟了加性和独立的遗传及环境风险，并让“受试者”填写典型的临床症状和环境因素模拟清单。对模拟的加性风险评分、从清单得出的总分以及转换后的总分应用了多种G×E标准测试。
所有分析均显示，潜在风险不存在G×E证据，但总分存在显著的G×E及其他调节效应证据。这些效应通过转换全部消除。将一个综合了潜在易感性原因和测量理论的遗传与心理测量模型应用于模拟总分数据样本，结果表明环境协变量对遗传模型参数没有显著调节作用（即不存在G×E）。
基于忽略测量理论的分析方法检测到G×E的说法，在发表前必须接受更严格的审查。
