The phenotypic and genotypic relation between working memory speed and capacity

T.J.C. Polderman, J.F. Stins, D. Posthuma, M.F. Gosso, F.C. Verhulst, D.I. Boomsma

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This study examined the phenotypic and genotypic relationship between working memory speed (WMS) and working memory capacity (WMC) in 12-year-old twins and their siblings (N = 409). To asses WMS all children performed a reaction time task with three memory loads from which a basic mental speed measure and the derived slope were used. WMC was measured with two subtests of the WISC-R, namely Arithmetic and Digit Span. The phenotypic correlations among the WMS and WMC indices were around - 0.30. Heritabilities for all variables ranged from 43% to 56%. Structural equating modelling revealed that a model with two genetic factors, representing WMS and WMC, which were correlated (- 0.54) fitted the data best, indicating that WMS and WMC are partly mediated by the same set of genes and partly by separate sets of genes. When general IQ was simultaneously analysed with the data the correlation between the genetic factors for WMS and WMC decreased (- 0.25), but was still significant. This means that ∼ 50% of the genetic correlation between WMS and WMC is explained by IQ. © 2006 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)549-560
Number of pages12
JournalIntelligence
Volume34
Issue number6
DOIs
Publication statusPublished - 2006

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Short-Term Memory
Working Memory
Working Memory Capacity
Equidae
Genes
Reaction Time
Siblings

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title = "The phenotypic and genotypic relation between working memory speed and capacity",
abstract = "This study examined the phenotypic and genotypic relationship between working memory speed (WMS) and working memory capacity (WMC) in 12-year-old twins and their siblings (N = 409). To asses WMS all children performed a reaction time task with three memory loads from which a basic mental speed measure and the derived slope were used. WMC was measured with two subtests of the WISC-R, namely Arithmetic and Digit Span. The phenotypic correlations among the WMS and WMC indices were around - 0.30. Heritabilities for all variables ranged from 43{\%} to 56{\%}. Structural equating modelling revealed that a model with two genetic factors, representing WMS and WMC, which were correlated (- 0.54) fitted the data best, indicating that WMS and WMC are partly mediated by the same set of genes and partly by separate sets of genes. When general IQ was simultaneously analysed with the data the correlation between the genetic factors for WMS and WMC decreased (- 0.25), but was still significant. This means that ∼ 50{\%} of the genetic correlation between WMS and WMC is explained by IQ. {\circledC} 2006 Elsevier Inc. All rights reserved.",
author = "T.J.C. Polderman and J.F. Stins and D. Posthuma and M.F. Gosso and F.C. Verhulst and D.I. Boomsma",
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The phenotypic and genotypic relation between working memory speed and capacity. / Polderman, T.J.C.; Stins, J.F.; Posthuma, D.; Gosso, M.F.; Verhulst, F.C.; Boomsma, D.I.

In: Intelligence, Vol. 34, No. 6, 2006, p. 549-560.

Research output: Contribution to JournalArticleAcademicpeer-review

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T1 - The phenotypic and genotypic relation between working memory speed and capacity

AU - Polderman, T.J.C.

AU - Stins, J.F.

AU - Posthuma, D.

AU - Gosso, M.F.

AU - Verhulst, F.C.

AU - Boomsma, D.I.

PY - 2006

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N2 - This study examined the phenotypic and genotypic relationship between working memory speed (WMS) and working memory capacity (WMC) in 12-year-old twins and their siblings (N = 409). To asses WMS all children performed a reaction time task with three memory loads from which a basic mental speed measure and the derived slope were used. WMC was measured with two subtests of the WISC-R, namely Arithmetic and Digit Span. The phenotypic correlations among the WMS and WMC indices were around - 0.30. Heritabilities for all variables ranged from 43% to 56%. Structural equating modelling revealed that a model with two genetic factors, representing WMS and WMC, which were correlated (- 0.54) fitted the data best, indicating that WMS and WMC are partly mediated by the same set of genes and partly by separate sets of genes. When general IQ was simultaneously analysed with the data the correlation between the genetic factors for WMS and WMC decreased (- 0.25), but was still significant. This means that ∼ 50% of the genetic correlation between WMS and WMC is explained by IQ. © 2006 Elsevier Inc. All rights reserved.

AB - This study examined the phenotypic and genotypic relationship between working memory speed (WMS) and working memory capacity (WMC) in 12-year-old twins and their siblings (N = 409). To asses WMS all children performed a reaction time task with three memory loads from which a basic mental speed measure and the derived slope were used. WMC was measured with two subtests of the WISC-R, namely Arithmetic and Digit Span. The phenotypic correlations among the WMS and WMC indices were around - 0.30. Heritabilities for all variables ranged from 43% to 56%. Structural equating modelling revealed that a model with two genetic factors, representing WMS and WMC, which were correlated (- 0.54) fitted the data best, indicating that WMS and WMC are partly mediated by the same set of genes and partly by separate sets of genes. When general IQ was simultaneously analysed with the data the correlation between the genetic factors for WMS and WMC decreased (- 0.25), but was still significant. This means that ∼ 50% of the genetic correlation between WMS and WMC is explained by IQ. © 2006 Elsevier Inc. All rights reserved.

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