Genetic architecture of the Delis-Kaplan Executive Function System Trail Making Test: evidence for distinct genetic influences on executive function.

Genetic architecture of the Delis-Kaplan Executive Function System Trail Making Test: evidence for distinct genetic influences on executive function.
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DOI:
10.1037/a0026768
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发表时间:
2012-03
期刊:
影响因子:
2.4
通讯作者:
Kremen, William S.
Kremen, William S.
中科院分区:
心理学3区
文献类型:
--
作者:
Vasilopoulos, Terrie;Franz, Carol E.;Panizzon, Matthew S.;Xian, Hong;Grant, Michael D.;Lyons, Michael J.;Toomey, Rosemary;Jacobson, Kristen C.;Kremen, William S.

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研究基因和环境如何影响连线测试条件之间的关系,以及这些条件对基因和环境的影响程度。参与者包括1237名来自越南时代老龄化双胞胎研究(VESTA)的中年男性双胞胎。Delis-Kaplan执行功能系统试做测试包括视觉搜索、数字和字母排序以及集合转移组件。Trails条件之间的表型相关性在0.29 - 0.60之间,并且基因占每个相关性的大部分(58-84%)。在各种条件下,总体遗传力范围为0.34至0.62。表型因子分析表明为单因子。相比之下,遗传模型揭示了一个单一的共同遗传因素,但也有独特的遗传影响,从共同因素分开。遗传变异(即,数字和字母排序的遗传力完全由共同遗传因子解释,而独立于共同遗传因子的独特遗传影响分别解释了视觉搜索和集合移位的57%和21%的遗传力。在考虑了一般认知能力之后,独特的遗传影响占这些遗传力的64%和31%。一个共同的遗传因素,最有可能代表了速度和测序的组合,占了Trails 1-4之间的大部分相关性。不同的遗传因素,但是,占了一部分的视觉扫描和集移位的方差。因此,虽然传统的表型共享方差分析技术表明,在非患者人群中,只有一个一般的因素,不同的神经心理功能,检查与双生子分析的认知过程的遗传基础,可以发现更复杂的病因过程。
To examine how genes and environments contribute to relationships among Trail Making test conditions and the extent to which these conditions have unique genetic and environmental influences. Participants included 1237 middle-aged male twins from the Vietnam-Era Twin Study of Aging (VESTA). The Delis-Kaplan Executive Function System Trail Making test included visual searching, number and letter sequencing, and set-shifting components. Phenotypic correlations among Trails conditions ranged from 0.29 – 0.60, and genes accounted for the majority (58–84%) of each correlation. Overall heritability ranged from 0.34 to 0.62 across conditions. Phenotypic factor analysis suggested a single factor. In contrast, genetic models revealed a single common genetic factor but also unique genetic influences separate from the common factor. Genetic variance (i.e., heritability) of number and letter sequencing was completely explained by the common genetic factor while unique genetic influences separate from the common factor accounted for 57% and 21% of the heritabilities of visual search and set-shifting, respectively. After accounting for general cognitive ability, unique genetic influences accounted for 64% and 31% of those heritabilities. A common genetic factor, most likely representing a combination of speed and sequencing accounted for most of the correlation among Trails 1–4. Distinct genetic factors, however, accounted for a portion of variance in visual scanning and set-shifting. Thus, although traditional phenotypic shared variance analysis techniques suggest only one general factor underlying different neuropsychological functions in non-patient populations, examining the genetic underpinnings of cognitive processes with twin analysis can uncover more complex etiological processes.
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