Genetic covariation between neuroticism and the symptoms of anxiety and depression

IF 3.8 4区 医学 Q3 GENETICS & HEREDITY Genetic Epidemiology Pub Date : 1984-01-01 DOI:10.1002/gepi.1370010202
R. Jardine, N. G. Martin, A. S. Henderson, D. C. Rao
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引用次数: 363

Abstract

A genetic analysis of the trait of neuroticism and symptoms of anxiety and depression in 3,810 pairs of adult MZ and DZ twins is reported. Differences between people in these measures can be explained simply by differences in their genes and in their individual environmental experiences. There is no evidence that environmental experiences that are shared by cotwins, such as common family environment or social influences, are important. There are differences between the sexes in gene action affecting neuroticism, and genetic effects become more pronounced with age in females. The lack of evidence for dominance variance affecting neuroticism contrasts well with the detection of considerable genetical nonadditivity for extraversion in the same sample and reinforces the view that these two traits are not only statistically, but also genetically, quite independent.

An analysis of the causes of covariation between anxiety, depression, and neuroticism shows that additive gene effects are more important causes of covariation than environmental factors. Genetic variation in symptoms of anxiety and depression is largely dependent on the same factors as effect the neuroticism trait. However, there is also evidence for genetic variation specific to depression.

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神经质与焦虑、抑郁症状的基因共变
本文报道了3810对成年MZ和DZ双胞胎神经质特征和焦虑、抑郁症状的遗传分析。人与人之间在这些方面的差异可以简单地用基因和个人环境经历的差异来解释。没有证据表明双胞胎共有的环境经历,比如共同的家庭环境或社会影响,是重要的。影响神经质的基因作用在性别上是有差异的,在女性中,随着年龄的增长,基因的影响变得更加明显。在同一样本中,显性差异影响神经质的证据的缺乏与外向性的基因非加性的检测形成鲜明对比,并强化了这两种特征不仅在统计上,而且在基因上都是完全独立的观点。对焦虑、抑郁和神经质之间共变原因的分析表明,基因累加效应是比环境因素更重要的共变原因。焦虑和抑郁症状的遗传变异在很大程度上取决于影响神经质特征的相同因素。然而,也有证据表明抑郁症特有的遗传变异。
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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
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