Harvard School of Public Health, Massachusetts General Hospital, McLean Hospital, Harvard Medical School, Belmont, USA.
Am J Psychiatry. 2011 Oct;168(10):1041-9. doi: 10.1176/appi.ajp.2011.11020191. Epub 2011 Sep 2.
Gene-by-environment interaction (G×E) studies in psychiatry have typically been conducted using a candidate G×E (cG×E) approach, analogous to the candidate gene association approach used to test genetic main effects. Such cG×E research has received widespread attention and acclaim, yet cG×E findings remain controversial. The authors examined whether the many positive cG×E findings reported in the psychiatric literature were robust or if, in aggregate, cG×E findings were consistent with the existence of publication bias, low statistical power, and a high false discovery rate.
The authors conducted analyses on data extracted from all published studies (103 studies) from the first decade (2000-2009) of cG×E research in psychiatry.
Ninety-six percent of novel cG×E studies were significant compared with 27% of replication attempts. These findings are consistent with the existence of publication bias among novel cG×E studies, making cG×E hypotheses appear more robust than they actually are. There also appears to be publication bias among replication attempts because positive replication attempts had smaller average sample sizes than negative ones. Power calculations using observed sample sizes suggest that cG×E studies are underpowered. Low power along with the likely low prior probability of a given cG×E hypothesis being true suggests that most or even all positive cG×E findings represent type I errors.
In this new era of big data and small effects, a recalibration of views about groundbreaking findings is necessary. Well-powered direct replications deserve more attention than novel cG×E findings and indirect replications.
精神医学中的基因-环境交互作用(G×E)研究通常采用候选基因-环境交互作用(cG×E)方法,类似于用于测试遗传主效应的候选基因关联方法。这种 cG×E 研究受到了广泛关注和赞誉,但 cG×E 的发现仍然存在争议。作者研究了精神医学文献中报道的许多阳性 cG×E 发现是否稳健,或者总体而言,cG×E 的发现是否与发表偏倚、低统计功效和高假发现率的存在一致。
作者对精神医学中 cG×E 研究的第一个十年(2000-2009 年)中所有已发表研究(103 项研究)的数据进行了分析。
与 27%的重复尝试相比,96%的新 cG×E 研究具有统计学意义。这些发现与新的 cG×E 研究中存在发表偏倚一致,使 cG×E 假说看起来比实际更稳健。在重复尝试中似乎也存在发表偏倚,因为阳性的重复尝试的平均样本量小于阴性的重复尝试。使用观察到的样本量进行的功效计算表明,cG×E 研究的功效不足。低功效以及给定 cG×E 假说具有真实性的可能性较低表明,大多数甚至所有阳性 cG×E 发现都代表了 I 类错误。
在这个大数据和小效应的新时代,有必要重新调整对突破性发现的看法。有足够功效的直接重复研究比新的 cG×E 发现和间接重复研究更值得关注。