Behavioral-genetic associations in the Human Connectome Project

Behavioral-genetic associations in the Human Connectome Project
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DOI:
10.1007/s00221-020-05893-w
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发表时间:
2020-08-10
影响因子:
2
通讯作者:
Georgopoulos, Apostolos P.
Georgopoulos, Apostolos P.
中科院分区:
医学4区
文献类型:
--
作者:
Christova, Peka;Joseph, Jasmine;Georgopoulos, Apostolos P.

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人类连接组项目(HCP)提供了来自双胞胎和广泛的家庭结构的定量和特定领域的行为测量的丰富数据集。这使得数据集成为调查遗传性和确定个体差异的独特而有价值的资源。使用一组行为领域(运动、情绪、人格、感觉和认知)的测量,我们估计了4组遗传识别的参与者:同卵双胞胎(MZ)、异卵双胞胎(DZ)、非双胞胎兄弟姐妹(SB)和无关个体(NR)的56种行为测量的组内相关性(ICCs)和遗传度。ICC的范围在不同的行为领域有所不同,但在四个遗传群体中是系统性的。我们从MZ双胞胎的最高值中发现了相同的ICC的等级顺序,DZ双胞胎和同胞组的ICC在统计学上显著小于MZ组(与MZ组相比),而NR组的ICC的排名接近于零。5个行为领域的平均遗传度分别为:认知(2)=0.405,情绪(2)=0.316,运动(2)=0.138,个性(2)=0.444,感觉(2)=0.193。这些领域共享重叠的大脑网络。运动领域的遗传度显著低于认知、人格和情绪领域。这些发现为遗传学对各种不同行为指标的影响提供了新的见解。
The Human Connectome Project (HCP) provides a rich dataset of quantitative and domain-specific behavioral measures from twins and extensive family structures. This makes the dataset a unique and a valuable resource to investigate heritability and determine individual differences. Using a set of measures of behavioral domains (motor, emotion, personality, sensory, and cognition), we estimated the intraclass correlations (ICCs) and heritability of 56 behavioral measures for 4 genetically identified groups of participants: monozygotic (MZ) twins, dizygotic (DZ) twins, non-twin siblings (SB), and unrelated individuals (NR). The ICCs range varied among behavioral domains but systematically so among the four genetic groups. We found the same rank order of ICCs, from the highest values for MZ twins, statistically significantly smaller for the DZ twins and sibling group (compared to MZ), and close to zero for NR. The mean heritability values of the five behavioral domains were: cognitionh(2) = 0.405, emotionh(2) = 0.316, motorh(2) = 0.138, personalityh(2) = 0.444, and sensoryh(2) = 0.193. These domains share overlapping brain networks. The heritability of motor domain was significantly smaller than cognitive, personality, and emotion domains. These findings provide new insight into the effect of genetics on the various diverse behavioral measures.