Literature DB >> 2719624

Genetic and environmental contributions to the covariance between occupational status, educational attainment, and IQ: a study of twins.

K Tambs, J M Sundet, P Magnus, K Berg.   

Abstract

Scores of occupational status, educational attainment, and IQ were obtained for 507 monozygotic and 575 dizygotic male twin pairs born 1931-1935 and 1944-1960. A multivariate genetic analysis with statistics from different cohorts showed heterogeneity between cohorts, and analyses were performed in four separate cohorts. The only set of results which departed clearly from the rest was found for the group born 1931-1935, where the ratio of environmental to genetic effects exceeded those of the other groups. Typical heritability values in the three youngest groups (weighted means) were .43, .51, and .66 for occupation, education, and IQ, respectively. The values in the oldest group were .16, .10, and .37, but this sample is small and the estimates are unstable. Genetic variance influencing educational attainment also contributed approximately one-fourth of the genetic variance for occupational status and nearly half the genetic variance for IQ. The values for the between-families variances (reflecting family environment and assortative mating) varied from 2 to 35% in the three youngest groups but were higher for education (62%) and IQ (45%) in the oldest groups. All the between-families variance was common to all three variables. For educational attainment and IQ, the bulk of this between-families variance is probably genetic variance due to assortative mating. The common-factor environmental within-family variances were generally small, and the specific estimates seemed to contain mainly measurement error.

Mesh:

Year:  1989        PMID: 2719624     DOI: 10.1007/BF01065905

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


  13 in total

1.  The genetical analysis of covariance structure.

Authors:  N G Martin; L J Eaves
Journal:  Heredity (Edinb)       Date:  1977-02       Impact factor: 3.821

2.  Genetic and environmental contributions to the covariation between the Wechsler Adult Intelligence Scale (WAIS) subtests: a study of twins.

Authors:  K Tambs; J M Sundet; P Magnus
Journal:  Behav Genet       Date:  1986-07       Impact factor: 2.805

3.  Recruitment bias in twin research: the rule of two-thirds reconsidered.

Authors:  D T Lykken; M McGue; A Tellegen
Journal:  Behav Genet       Date:  1987-07       Impact factor: 2.805

Review 4.  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

5.  Multivariate extensions of a biometrical model of twin data.

Authors:  D W Fulker
Journal:  Prog Clin Biol Res       Date:  1978

6.  Familial studies of intelligence: a review.

Authors:  T J Bouchard; M McGue
Journal:  Science       Date:  1981-05-29       Impact factor: 47.728

7.  A note on the generalized effects of assortative mating.

Authors:  L J Eaves; A C Heath; N G Martin
Journal:  Behav Genet       Date:  1984-07       Impact factor: 2.805

8.  Is there only one set of genes for different abilities? A reanalysis of the National Merit Scholarship Qualifying Test (NMSQT) data.

Authors:  N G Martin; R Jardine; L J Eaves
Journal:  Behav Genet       Date:  1984-07       Impact factor: 2.805

9.  No decline in assortative mating for educational level.

Authors:  A C Heath; K Berg; L J Eaves; M H Solaas; J Sundet; W E Nance; L A Corey; P Magnus
Journal:  Behav Genet       Date:  1985-07       Impact factor: 2.805

10.  Education policy and the heritability of educational attainment.

Authors:  A C Heath; K Berg; L J Eaves; M H Solaas; L A Corey; J Sundet; P Magnus; W E Nance
Journal:  Nature       Date:  1985 Apr 25-May 1       Impact factor: 49.962

View more
  21 in total

1.  Heritability of delay discounting in adolescence: a longitudinal twin study.

Authors:  Andrey P Anokhin; Simon Golosheykin; Julia D Grant; Andrew C Heath
Journal:  Behav Genet       Date:  2010-08-11       Impact factor: 2.805

2.  Multivariate Cholesky models of human female fertility patterns in the NLSY.

Authors:  Joseph Lee Rodgers; David E Bard; Warren B Miller
Journal:  Behav Genet       Date:  2007-01-05       Impact factor: 2.805

3.  Education and cognitive ability as direct, mediating, or spurious influences on female age at first birth: behavior genetic models fit to Danish twin data.

Authors:  Joseph Lee Rodgers; Hans-Peter Kohler; Matt McGue; Jere R Behrman; Inge Petersen; Paul Bingley; Kaare Christensen
Journal:  AJS       Date:  2008

4.  Socioeconomic status and social support following illicit drug use: causal pathways or common liability?

Authors:  Sarah E Bergen; Charles O Gardner; Steven H Aggen; Kenneth S Kendler
Journal:  Twin Res Hum Genet       Date:  2008-06       Impact factor: 1.587

5.  Too early to declare a general law of social mobility and heritability for education.

Authors:  Damien Morris
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-03       Impact factor: 11.205

6.  Cognition and community functioning in schizophrenia: The nature of the relationship.

Authors:  Susan S Kuo; Laura Almasy; Ruben C Gur; Konasale Prasad; David R Roalf; Raquel E Gur; Vishwajit L Nimgaonkar; Michael F Pogue-Geile
Journal:  J Abnorm Psychol       Date:  2018-02

7.  Born to Lead? A Twin Design and Genetic Association Study of Leadership Role Occupancy.

Authors:  Jan-Emmanuel De Neve; Slava Mikhaylov; Christopher T Dawes; Nicholas A Christakis; James H Fowler
Journal:  Leadersh Q       Date:  2012-09-10

8.  The Nature-Nurture Debate is Over, and Both Sides Lost! Implications for Understanding Gender Differences in Religiosity.

Authors:  Matt Bradshaw; Christopher G Ellison
Journal:  J Sci Study Relig       Date:  2009-06-01

9.  Who Are the Children Most Vulnerable to Social Exclusion? The Moderating Role of Self-Esteem, Popularity, and Nonverbal Intelligence on Cognitive Performance Following Social Exclusion.

Authors:  Valentina Tobia; Paolo Riva; Claudia Caprin
Journal:  J Abnorm Child Psychol       Date:  2017-05

10.  Genetic factors influence the clustering of depression among individuals with lower socioeconomic status.

Authors:  Sandra López-León; Wing Chi Choy; Yurii S Aulchenko; Stephan J Claes; Ben A Oostra; Johan P Mackenbach; Cornelia M van Duijn; A Cecile J W Janssens
Journal:  PLoS One       Date:  2009-03-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.