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.
中科院分区:
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.
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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影响因子:
3.3
作者:
Beckham, JC;Crawford, AL;Feldman, ME
通讯作者:
Feldman, ME
DOI:
10.1007/bf01997792
发表时间:
1996-08-01
期刊:
ITALIAN JOURNAL OF NEUROLOGICAL SCIENCES
影响因子:
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DOI:
10.1076/1382-5585(200009)7:3;1-q;ft141
发表时间:
2000-09-01
影响因子:
1.9
作者:
Finkel, D;Pedersen, NL;Harris, JR
通讯作者:
Harris, JR
影响因子:
2.7
作者:
Luciano, M;Wright, MJ;Martin, NG
通讯作者:
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