Suppr超能文献

精神医学中候选基因-环境交互作用研究的头 10 年的批判性回顾。

A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry.

机构信息

Harvard School of Public Health, Massachusetts General Hospital, McLean Hospital, Harvard Medical School, Belmont, USA.

出版信息

Am J Psychiatry. 2011 Oct;168(10):1041-9. doi: 10.1176/appi.ajp.2011.11020191. Epub 2011 Sep 2.

Abstract

OBJECTIVE

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.

METHOD

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。

相似文献

1
A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry.
Am J Psychiatry. 2011 Oct;168(10):1041-9. doi: 10.1176/appi.ajp.2011.11020191. Epub 2011 Sep 2.
2
Candidate gene-environment interaction research: reflections and recommendations.
Perspect Psychol Sci. 2015 Jan;10(1):37-59. doi: 10.1177/1745691614556682.
5
Gene-Environment Interplay: Where We Are, Where We Are Going.
J Marriage Fam. 2015 Apr;77(2):344-350. doi: 10.1111/jomf.12164.
6
Gene-Environment Interactions in Psychiatry: Recent Evidence and Clinical Implications.
Curr Psychiatry Rep. 2019 Aug 13;21(9):81. doi: 10.1007/s11920-019-1065-5.
7
Gene-environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions.
J Neural Transm (Vienna). 2018 Nov;125(11):1601-1626. doi: 10.1007/s00702-018-1892-2. Epub 2018 Jun 7.
8
Gene-environment interaction and psychiatric disorders: Review and future directions.
Semin Cell Dev Biol. 2018 May;77:133-143. doi: 10.1016/j.semcdb.2017.10.016. Epub 2017 Oct 18.
9
Gene-environment interactions in psychiatry: joining forces with neuroscience.
Nat Rev Neurosci. 2006 Jul;7(7):583-90. doi: 10.1038/nrn1925.

引用本文的文献

2
Trade-offs in modeling context dependency in complex trait genetics.
Elife. 2025 Apr 10;13:RP99210. doi: 10.7554/eLife.99210.
3
Differential susceptibility effects of the and genotypes on decision making under risk in the Iowa gambling task.
Front Psychiatry. 2025 Feb 19;16:1456490. doi: 10.3389/fpsyt.2025.1456490. eCollection 2025.
5
Psychiatric neuroimaging at a crossroads: Insights from psychiatric genetics.
Dev Cogn Neurosci. 2024 Dec;70:101443. doi: 10.1016/j.dcn.2024.101443. Epub 2024 Sep 23.
7
Reconceptualizing and Defining Exposomics within Environmental Health: Expanding the Scope of Health Research.
Environ Health Perspect. 2024 Sep;132(9):95001. doi: 10.1289/EHP14509. Epub 2024 Sep 27.
8
Good parent-child relationship protects against alcohol use in maltreated adolescent females carrying the -uVNTR susceptibility allele.
Front Psychiatry. 2024 Jul 22;15:1375363. doi: 10.3389/fpsyt.2024.1375363. eCollection 2024.
9
10
Implications of the genomic revolution for education research and policy.
Br Educ Res J. 2024 Jun;50(3):923-943. doi: 10.1002/berj.3784. Epub 2022 Apr 12.

本文引用的文献

2
The serotonin transporter promoter variant (5-HTTLPR), stress, and depression meta-analysis revisited: evidence of genetic moderation.
Arch Gen Psychiatry. 2011 May;68(5):444-54. doi: 10.1001/archgenpsychiatry.2010.189. Epub 2011 Jan 3.
3
Poor replication of candidate genes for major depressive disorder using genome-wide association data.
Mol Psychiatry. 2011 May;16(5):516-32. doi: 10.1038/mp.2010.38. Epub 2010 Mar 30.
5
Gene-environment interactions and depression.
JAMA. 2009 Nov 4;302(17):1859-60; author reply 1861-2. doi: 10.1001/jama.2009.1576.
6
Finding the missing heritability of complex diseases.
Nature. 2009 Oct 8;461(7265):747-53. doi: 10.1038/nature08494.
8
Replication and heterogeneity in gene x environment interaction studies.
Int J Neuropsychopharmacol. 2009 Jul;12(6):727-9. doi: 10.1017/S1461145709000479. Epub 2009 May 28.
9
Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.
Proc Natl Acad Sci U S A. 2009 Jun 9;106(23):9362-7. doi: 10.1073/pnas.0903103106. Epub 2009 May 27.
10
Genomewide association studies: history, rationale, and prospects for psychiatric disorders.
Am J Psychiatry. 2009 May;166(5):540-56. doi: 10.1176/appi.ajp.2008.08091354. Epub 2009 Apr 1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验