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英国家族研究对神经质和教育的影响。

Familial Influences on Neuroticism and Education in the UK Biobank.

机构信息

Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 de Crespigny Park, Denmark Hill, London, SE5 8AF, UK.

NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK.

出版信息

Behav Genet. 2020 Mar;50(2):84-93. doi: 10.1007/s10519-019-09984-5. Epub 2019 Dec 4.

Abstract

Genome-wide studies often exclude family members, even though they are a valuable source of information. We identified parent-offspring pairs, siblings and couples in the UK Biobank and implemented a family-based DNA-derived heritability method to capture additional genetic effects and multiple sources of environmental influence on neuroticism and years of education. Compared to estimates from unrelated individuals, total heritability increased from 10 to 27% and from 17 to 56% for neuroticism and education respectively by including family-based genetic effects. We detected no family environmental influences on neuroticism. The couple similarity variance component explained 35% of the variation in years of education, probably reflecting assortative mating. Overall, our genetic and environmental estimates closely replicate previous findings from an independent sample. However, more research is required to dissect contributions to the additional heritability by rare and structural genetic effects, assortative mating, and residual environmental confounding. The latter is especially relevant for years of education, a highly socially contingent variable, for which our heritability estimate is at the upper end of twin estimates in the literature. Family-based genetic effects could be harnessed to improve polygenic prediction.

摘要

全基因组研究通常排除家庭成员,尽管他们是有价值的信息来源。我们在英国生物银行中识别了亲子对、兄弟姐妹和夫妇,并实施了基于家庭的 DNA 衍生遗传率方法,以捕获神经质和受教育年限的额外遗传效应和多种环境影响来源。与来自无关个体的估计相比,通过包含基于家庭的遗传效应,神经质的总遗传率从 10%增加到 27%,受教育年限的遗传率从 17%增加到 56%。我们没有检测到神经质的家庭环境影响。夫妇相似性方差分量解释了受教育年限变异的 35%,可能反映了选择性交配。总体而言,我们的遗传和环境估计与来自独立样本的先前发现密切一致。然而,需要进一步的研究来剖析罕见和结构性遗传效应、选择性交配以及剩余环境混杂对额外遗传率的贡献。对于高度依赖社会的变量受教育年限,后者尤为重要,我们的遗传率估计处于文献中双胞胎估计的上限。基于家庭的遗传效应可以被利用来提高多基因预测。

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