Familial Influences on Neuroticism and Education in the UK Biobank

被引:13
作者
Cheesman, R. [1 ]
Coleman, J. [1 ,2 ]
Rayner, C. [1 ]
Purves, K. L. [1 ]
Morneau-Vaillancourt, G. [3 ]
Glanville, K. [1 ]
Choi, S. W. [1 ]
Breen, G. [1 ,2 ]
Eley, T. C. [1 ,2 ]
机构
[1] Kings Coll London, Social Genet & Dev Psychiat Ctr, Inst Psychiat Psychol & Neurosci, 16 Crespigny Pk,Denmark Hill, London SE5 8AF, England
[2] South London & Maudsley NHS Trust, NIHR Biomed Res Ctr Mental Hlth, London, England
[3] Laval Univ, Res Unit Child Psychosocial Maladjustment, Quebec City, PQ, Canada
基金
英国医学研究理事会;
关键词
Genomics; Family data; Heritability; Neuroticism; Education; EXTENDED TWIN-FAMILY; HERITABILITY; ATTAINMENT; PHENOTYPES;
D O I
10.1007/s10519-019-09984-5
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
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.
引用
收藏
页码:84 / 93
页数:10
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