Literature DB >> 575719

The use of twins in the analysis of assortative mating.

L Eaves.   

Abstract

The simulations illustrated show that a plausible model for mate selection can generate data on the similarity of twins and their spouses which are remarkably consistent with a transitive model for the effects of mate selection. This is, biological considerations impose constraints upon the relative values of correlations which are not foreseen, for example, by the some advocates of conventional path models although they might be predicted by common sense. In particular, the correlation between the spouses of twins is expected to be non-zero under a model of phenotypic assortment and turns out to be approximately equal to the product of the twin correlation and the square of the marital correlation. The relative magnitudes of the correlations derived from an empirical study of such relationships should enable models of phenotypic assortment to be tested more rigorously. Including both identical and non-identical twins in the sample studied should permit the inherited and cultural components of the mating system to be identified with more conviction. In the event of one sex playing a more significant role in mate selection for particular traits, such studies should reveal diagnostic patterns of familial correlations as long as male and female twins and their spouses are analysed separately. If the analysis is restricted to phenotypic correlations of the parents, the qualitative findings do not appear to be greatly affected by selection due to assortative mating although a reduction in variance is to be expected if a large proportion of individuals is unable to mate. In such cases twins will also be significantly concordant for mating. The consequences of such varied regimes of assortation for the population structure and the relationship between traits in subsequent generations remain the object of future inquiry.

Mesh:

Year:  1979        PMID: 575719     DOI: 10.1038/hdy.1979.90

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  11 in total

1.  A Genetically Informed Study of the Intergenerational Transmission of Marital Instability.

Authors:  Brian M D'Onofrio; Eric Turkheimer; Robert E Emery; K Paige Harden; Wendy S Slutske; Andrew C Heath; Pamela A F Madden; Nicholas G Martin
Journal:  J Marriage Fam       Date:  2007-08-01

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

Authors:  C A Reynolds; L A Baker; N L Pedersen
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

3.  Of biases and more in the study of twins reared together: a reply to Grayson.

Authors:  J K Hewitt
Journal:  Behav Genet       Date:  1989-07       Impact factor: 2.805

4.  Testing structural equation models for twin data using LISREL.

Authors:  A C Heath; M C Neale; J K Hewitt; L J Eaves; D W Fulker
Journal:  Behav Genet       Date:  1989-01       Impact factor: 2.805

5.  Resolution of genetic and cultural inheritance in twin families by path analysis: application to HDL-cholesterol.

Authors:  M McGue; D C Rao; L Iselius; J M Russell
Journal:  Am J Hum Genet       Date:  1985-09       Impact factor: 11.025

6.  Resolving the effects of phenotype and social background on mate selection.

Authors:  A C Heath; L J Eaves
Journal:  Behav Genet       Date:  1985-01       Impact factor: 2.805

Review 7.  Human mate selection and addiction: a conceptual critique.

Authors:  Andrew C Heath; Mary C Waldron; Nicholas G Martin; Elliot C Nelson; Kathleen K Bucholz; Pamela A F Madden
Journal:  Behav Genet       Date:  2014-08-21       Impact factor: 2.805

Review 8.  Why do we pick similar mates, or do we?

Authors:  Thomas M M Versluys; Ewan O Flintham; Alex Mas-Sandoval; Vincent Savolainen
Journal:  Biol Lett       Date:  2021-11-24       Impact factor: 3.703

9.  Are extended twin family designs worth the trouble? A comparison of the bias, precision, and accuracy of parameters estimated in four twin family models.

Authors:  Matthew C Keller; Sarah E Medland; Laramie E Duncan
Journal:  Behav Genet       Date:  2009-12-16       Impact factor: 2.805

10.  The genetic correlation between height and IQ: shared genes or assortative mating?

Authors:  Matthew C Keller; Christine E Garver-Apgar; Margaret J Wright; Nicholas G Martin; Robin P Corley; Michael C Stallings; John K Hewitt; Brendan P Zietsch
Journal:  PLoS Genet       Date:  2013-04-04       Impact factor: 5.917

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