Literature DB >> 8639154

Models of spouse similarity: applications to fluid ability measured in twins and their spouses.

C A Reynolds1, L A Baker, N L Pedersen.   

Abstract

Genetic influences have consistently been reported to be the principal explanation for resemblance among relatives for intelligence, with shared environmental effects playing a much smaller role. However, crucial to understanding the nature of environmental influences are the mechanisms of assortative mating. Phenotypic assortment, albeit widely assumed or modeled in biometrical analyses, may be less important than other assortment processes, such as social homogamy. Consequently, effects of shared environment may play a greater role than prior studies have suggested. The goal of this study was to resolve environmental and genetic influences on fluid ability based on alternative models of assortment by examining the similarity of monozygotic (MZ) and dizygotic (DZ) twins and their spouses. Raven's Progressive Matrices scores were available from a population-based Swedish sample of 138 twin kinships. The effects of both social homogamy and phenotypic assortment were tested simultaneously in each of two alternate assortment models. A factor/delta path model represented social homogamy as a common factor and phenotypic assortment as a delta path, while a delta/delta path model represented both social homogamy and phenotypic assortment as delta paths. Overall, the factor/delta path model was found to be superior. Results suggested that social homogamy completely explained spouse similarity; phenotypic assortment was not significant. The results of these analyses suggest the presence of shared environmental effects among twins and their spouses, which would have been underestimated if only phenotypic modeled phenotypic assortment may have underestimated the effects of environment.

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Year:  1996        PMID: 8639154     DOI: 10.1007/bf02359886

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  25 in total

1.  Differential assortative mating found for academic and demographic variables as a function of time of assessment.

Authors:  J W Gilger
Journal:  Behav Genet       Date:  1991-03       Impact factor: 2.805

2.  Training effects on Raven's progressive matrices in young, middle-aged, and elderly adults.

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Journal:  Psychol Aging       Date:  1990-03

Review 3.  Model-fitting approaches to the analysis of human behaviour.

Authors:  L J Eaves; K A Last; P A Young; N G Martin
Journal:  Heredity (Edinb)       Date:  1978-12       Impact factor: 3.821

4.  Assortative mating for IQ and personality due to propinquity and personal preference.

Authors:  C G Mascie-Taylor; S G Vandenberg
Journal:  Behav Genet       Date:  1988-05       Impact factor: 2.805

5.  Assortative mating, or who marries whom?

Authors:  S G Vandenburg
Journal:  Behav Genet       Date:  1972 Jun-Sep       Impact factor: 2.805

6.  Social inequality and assortative mating: cause or consequence?

Authors:  A C Heath; L J Eaves; W E Nance; L A Corey
Journal:  Behav Genet       Date:  1987-01       Impact factor: 2.805

7.  Sense and nonsense in genetic epidemiology: a critique of the statistical model of Williams and Iyer.

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Journal:  Acta Genet Med Gemellol (Roma)       Date:  1984

8.  Familial resemblance for specific cognitive abilities.

Authors:  J C DeFries; R C Johnson; A R Kuse; G E McClearn; J Polovina; S G Vandenberg; J R Wilson
Journal:  Behav Genet       Date:  1979-01       Impact factor: 2.805

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Authors:  J Rice; C R Cloninger; T Reich
Journal:  Am J Hum Genet       Date:  1978-11       Impact factor: 11.025

10.  Sex and age differences on the Raven's matrices.

Authors:  G Persaud
Journal:  Percept Mot Skills       Date:  1987-08
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  5 in total

Review 1.  The continuing value of twin studies in the omics era.

Authors:  Jenny van Dongen; P Eline Slagboom; Harmen H M Draisma; Nicholas G Martin; Dorret I Boomsma
Journal:  Nat Rev Genet       Date:  2012-07-31       Impact factor: 53.242

2.  Genetic and environmental contributions to the association between anthropometric measures and iq: a study of Minnesota twins at age 11 and 17.

Authors:  Karri Silventoinen; William G Iacono; Robert Krueger; Matthew McGue
Journal:  Behav Genet       Date:  2011-12-04       Impact factor: 2.805

3.  Variation in human mate choice: simultaneously investigating heritability, parental influence, sexual imprinting, and assortative mating.

Authors:  Brendan P Zietsch; Karin J H Verweij; Andrew C Heath; Nicholas G Martin
Journal:  Am Nat       Date:  2011-05       Impact factor: 3.926

4.  Genetics of educational attainment in Australian twins: sex differences and secular changes.

Authors:  L A Baker; S A Treloar; C A Reynolds; A C Heath; N G Martin
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

5.  Familial aggregation of metabolic syndrome indicators in Portuguese families.

Authors:  D M Santos; P T Katzmarzyk; D-A Trégouet; T N Gomes; F K Santos; J A Maia
Journal:  Biomed Res Int       Date:  2013-09-22       Impact factor: 3.411

  5 in total

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