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[遗传学与精神病学]

[Genetics and psychiatry].

作者信息

Abdellaoui A, Verweij K J H

出版信息

Tijdschr Psychiatr. 2022;64(5):260-265.

PMID:35735034
Abstract

For centuries, it has been suspected that the vulnerability to psychiatric problems might be heritable. In the 20th century, this was confirmed through twin and family studies, with heritability estimates ranging from ~30-40% for posttraumatic stress disorder and major depression to ~80 for schizophrenia and autism. In the 21st century, genome-wide association studies (GWASs) were introduced, a hypothesis-free design capable of locating DNA associations.

AIM: To describe the development of genetic research in psychiatry.

METHOD: Overview of selected literature.

RESULTS: Increasingly larger GWASs show that the risk for psychiatric disorders is influenced by a combination of environmental factors and the sum of many genetic variants with small effects that combine to explain much variation. A substantial proportion of these genetic effects overlap between psychiatric disorders, but also with positive outcomes, such as IQ and educational attainment.

CONCLUSION: We are experiencing a revolution in genetics, in which the sample size, and thus the predictive value of DNA, is growing faster than our understanding of the complexity of the inherited risk for psychiatric problems.
.

摘要

几个世纪以来,人们一直怀疑易患精神疾病可能具有遗传性。在20世纪,通过双胞胎和家族研究证实了这一点,创伤后应激障碍和重度抑郁症的遗传度估计约为30%-40%,精神分裂症和自闭症的遗传度约为80%。在21世纪,全基因组关联研究(GWAS)被引入,这是一种能够定位DNA关联的无假设设计。

目的

描述精神病学遗传学研究的发展。

方法

对所选文献进行综述。

结果

规模越来越大的全基因组关联研究表明,精神疾病的风险受环境因素以及众多小效应基因变异总和的共同影响,这些基因变异共同作用可解释很大一部分变异。这些遗传效应的很大一部分在精神疾病之间存在重叠,同时也与一些积极结果重叠,如智商和教育程度。

结论

我们正在经历一场遗传学革命,在这场革命中,样本量以及DNA的预测价值的增长速度超过了我们对精神疾病遗传风险复杂性的理解。

相似文献

1
[Genetics and psychiatry].[遗传学与精神病学]
Tijdschr Psychiatr. 2022;64(5):260-265.
2
[From genetic findings to clinical practice in psychiatry: how genetics may enable Precision Psychiatry].[从精神病学的基因研究成果到临床实践:遗传学如何助力精准精神病学]
Tijdschr Psychiatr. 2020;62(9):776-783.
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New technologies provide insights into genetic basis of psychiatric disorders and explain their co-morbidity.新技术为精神疾病的遗传基础提供了新的见解,并解释了它们的共病现象。
Psychiatr Danub. 2010 Jun;22(2):190-2.
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Polygenic scores for schizophrenia and educational attainment are associated with behavioural problems in early childhood in the general population.精神分裂症和受教育程度的多基因评分与普通人群幼儿期的行为问题有关。
J Child Psychol Psychiatry. 2018 Jan;59(1):39-47. doi: 10.1111/jcpp.12759. Epub 2017 Jun 19.
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Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis.五种主要精神疾病具有共同影响的风险基因座的鉴定:全基因组分析。
Lancet. 2013 Apr 20;381(9875):1371-1379. doi: 10.1016/S0140-6736(12)62129-1. Epub 2013 Feb 28.
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[Relating the history of genetics to the field of psychiatric genetics: the discovery, reading and writing of DNA].[将遗传学历史与精神科遗传学领域相联系:DNA的发现、解读与书写]
Tijdschr Psychiatr. 2022;64(5):256-259.
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Bivariate genome-wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression.双向全基因组关联分析广泛的抑郁表型与重度抑郁症、双相情感障碍或精神分裂症相结合,揭示了 8 个新的抑郁遗传位点。
Mol Psychiatry. 2020 Jul;25(7):1420-1429. doi: 10.1038/s41380-018-0336-6. Epub 2019 Jan 9.
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Genetic Overlap between General Cognitive Function and Schizophrenia: A Review of Cognitive GWASs.一般认知功能与精神分裂症的遗传重叠:认知 GWAS 的综述。
Int J Mol Sci. 2018 Nov 30;19(12):3822. doi: 10.3390/ijms19123822.
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[New directions in psychiatric genetics: Genome-wide association studies, polygenic risk score and cross-disorder analysis].[精神遗传学的新方向:全基因组关联研究、多基因风险评分与跨疾病分析]
Psychiatr Hung. 2019;34(4):411-418.
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[Microbiome and psychiatry: autism as an example].[微生物组与精神病学:以自闭症为例]
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Dimensional model on how familial vulnerability and environmental factors impact transitional age youth psychopathology: The study.关于家族易感性和环境因素如何影响过渡年龄青年心理病理学的维度模型:该研究
Front Psychiatry. 2023 Mar 23;14:1103030. doi: 10.3389/fpsyt.2023.1103030. eCollection 2023.