Literature DB >> 30722797

The structure of genetic and environmental influences on normative personality, abnormal personality traits, and personality disorder symptoms.

Kenneth S Kendler1, Steven H Aggen1, Nathan Gillespie1, Robert F Krueger2, Nikolai Czajkowski3, Eivind Ystrom3, T Reichborn-Kjennerud3.   

Abstract

BACKGROUND: Can the structure of genetic and environmental influences on normative personality traits (NPTs), abnormal personality traits (APTs), and DSM-IV criteria for personality disorders (PD) fit a high or low congruence model positing, respectively, close or more limited etiologic continuity?
METHOD: Exploratory factor analysis was applied to transformed correlation matrices from Cholesky twin decompositions obtained in OpenMx. In 2801 adult twins from the Norwegian Institute of Public Health Twin Panel, NPTs and APTs were assessed by self-report using the Big Five Inventory (BFI) and PID-5-Norwegian Brief Form (PID-5-NBF), respectively. PDs were assessed at interview using the Structured Interview for DSM-IV Personality (SIDP-IV).
RESULTS: The best model yielded three genetic and three unique environmental factors. Genetic factors were dominated, respectively, by (i) high loadings on nearly all PDs and NPT/APT neuroticism and compulsivity, (ii) negative loadings on NPT agreeableness/conscientiousness and positive loadings on APT/PD measures of antisocial traits, and (iii) negative loadings on NPT extraversion and histrionic PD, and positive loadings on APT detachment and schizoid/avoidant PD. Unique environmental factors were dominated, by (i) high loadings on all PDs, (ii) high loadings on all APT dimensions and NPT neuroticism, and (iii) negative loadings on NPT extraversion and positive loadings on NPT detachment/avoidant PD.
CONCLUSIONS: Two genetic and one environmental common factor were consistent with a high congruence model while one genetic and two environmental factors were more supportive of a low congruence model. The relationship between genetic and environmental influences on personality assessed by NPTs, APTs, and PDs is complex and does not fit easily into a low or high congruence model.

Entities:  

Keywords:  Genetic modeling; personality; personality disorder; twins

Mesh:

Year:  2019        PMID: 30722797      PMCID: PMC6520133          DOI: 10.1017/S0033291719000047

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  32 in total

1.  A longitudinal twin study of cluster A personality disorders.

Authors:  K S Kendler; S H Aggen; M C Neale; G P Knudsen; R F Krueger; K Tambs; N Czajkowski; E Ystrom; R E Ørstavik; T Reichborn-Kjennerud
Journal:  Psychol Med       Date:  2014-11-14       Impact factor: 7.723

2.  The five-factor model and personality disorder empirical literature: A meta-analytic review.

Authors:  Lisa M Saulsman; Andrew C Page
Journal:  Clin Psychol Rev       Date:  2004-01

3.  Dimensional representations of DSM-IV cluster A personality disorders in a population-based sample of Norwegian twins: a multivariate study.

Authors:  Kenneth S Kendler; Nikolai Czajkowski; Kristian Tambs; Svenn Torgersen; Steven H Aggen; Michael C Neale; Ted Reichborn-Kjennerud
Journal:  Psychol Med       Date:  2006-08-08       Impact factor: 7.723

4.  The Norwegian Institute of Public Health twin program of research: an update.

Authors:  Jennifer R Harris; Per Magnus; Kristian Tambs
Journal:  Twin Res Hum Genet       Date:  2006-12       Impact factor: 1.587

5.  Personality disorders and the five-factor model: a test of facet-level predictions.

Authors:  J A Dyce; B P O'Connor
Journal:  J Pers Disord       Date:  1998

6.  Genetic and environmental influences on Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) maladaptive personality traits and their connections with normative personality traits.

Authors:  Zara E Wright; Shandell Pahlen; Robert F Krueger
Journal:  J Abnorm Psychol       Date:  2017-04-03

7.  OpenMx: An Open Source Extended Structural Equation Modeling Framework.

Authors:  Steven Boker; Michael Neale; Hermine Maes; Michael Wilde; Michael Spiegel; Timothy Brick; Jeffrey Spies; Ryne Estabrook; Sarah Kenny; Timothy Bates; Paras Mehta; John Fox
Journal:  Psychometrika       Date:  2011-04-01       Impact factor: 2.500

8.  The structure of genetic and environmental risk factors for DSM-IV personality disorders: a multivariate twin study.

Authors:  Kenneth S Kendler; Steven H Aggen; Nikolai Czajkowski; Espen Røysamb; Kristian Tambs; Svenn Torgersen; Michael C Neale; Ted Reichborn-Kjennerud
Journal:  Arch Gen Psychiatry       Date:  2008-12

9.  Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: a multivariate study.

Authors:  S Torgersen; N Czajkowski; K Jacobson; T Reichborn-Kjennerud; E Røysamb; M C Neale; K S Kendler
Journal:  Psychol Med       Date:  2008-02-14       Impact factor: 7.723

10.  A longitudinal twin study of borderline and antisocial personality disorder traits in early to middle adulthood.

Authors:  T Reichborn-Kjennerud; N Czajkowski; E Ystrøm; R Ørstavik; S H Aggen; K Tambs; S Torgersen; M C Neale; E Røysamb; R F Krueger; G P Knudsen; K S Kendler
Journal:  Psychol Med       Date:  2015-06-08       Impact factor: 7.723

View more
  2 in total

1.  Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum.

Authors:  Roman Kotov; Katherine G Jonas; William T Carpenter; Michael N Dretsch; Nicholas R Eaton; Miriam K Forbes; Kelsie T Forbush; Kelsey Hobbs; Ulrich Reininghaus; Tim Slade; Susan C South; Matthew Sunderland; Monika A Waszczuk; Thomas A Widiger; Aidan G C Wright; David H Zald; Robert F Krueger; David Watson
Journal:  World Psychiatry       Date:  2020-06       Impact factor: 49.548

2.  Polygenic risk score for embryo selection-not ready for prime time.

Authors:  Alex Polyakov; David J Amor; Julian Savulescu; Christopher Gyngell; Ektoras X Georgiou; Vanessa Ross; Yossi Mizrachi; Genia Rozen
Journal:  Hum Reprod       Date:  2022-09-30       Impact factor: 6.353

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.