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

Published online by Cambridge University Press:  06 February 2019

Kenneth S. Kendler*
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA Departments of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
Steven H. Aggen
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA Departments of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
Nathan Gillespie
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA, USA Departments of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
Robert F. Krueger
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, MN, USA
Nikolai Czajkowski
Affiliation:
Division of Mental Health, Norwegian Institute of Public Health, OsloNorway Department of Psychology, University of Oslo, OsloNorway
Eivind Ystrom
Affiliation:
Division of Mental Health, Norwegian Institute of Public Health, OsloNorway Department of Psychology, University of Oslo, OsloNorway
T. Reichborn-Kjennerud
Affiliation:
Division of Mental Health, Norwegian Institute of Public Health, OsloNorway Institute of Clinical Medicine, University of Oslo, OsloNorway
*
Author for correspondence: Kenneth S. Kendler, E-mail: kenneth.kendler@vcuhealth.org

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.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2019 

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References

Akaike, H (1987) Factor analysis and AIC. Psychometrika 52, 317332.10.1007/BF02294359Google Scholar
American Psychiatric Association (1980) Diagnostic and Statistical Manual of Mental Disorders, 3rd Edn. Washington, DC: American Psychiatric Association.Google Scholar
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders, Revised 3rd Edn. Washington, DC: American Psychiatric Association.Google Scholar
American Psychiatric Association (2000) Diagnostic and Statistical Manual of Mental Disorders, 4th Edn. Revised, Fourth-Revised ed. Washington, DC: American Psychiatric Association.Google Scholar
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. DSM-5. Washington, DC: American Psychiatric Association.Google Scholar
Austin, EJ and Deary, IJ (2000) The ‘four As’: a common framework for normal and abnormal personality? Personality and Individual Differences 28, 977995.10.1016/S0191-8869(99)00154-3Google Scholar
Boker, S, Neale, M, Maes, H, Wilde, M, Spiegel, M, Brick, T, Spies, J, Estabrook, R, Kenny, S, Bates, T, Mehta, P and Fox, J (2011) Openmx: an open source extended structural equation modeling framework. Psychometrika 76, 306317.10.1007/s11336-010-9200-6Google Scholar
Clark, LA (1993) Schedule for Nonadaptive and Adaptive Personality (SNAP): Manual for Administration, Scoring, and Interpretation. Minneapolis: University of Minnesota Press.Google Scholar
Clark, LA, Vorhies, L and McEwen, JL (1994) Personality disorder symptomatology from the five-factor model perspective. In Costa, PT and Widiger, TA (eds), Personality Disorders and the Five-Factor Model of Personality. Washington, DC: American Psychological Association, 125147.Google Scholar
Costa, PT and Widiger, TA (2002) Personality Disorders and the Five-Factor Model of Personality, 2nd Edn. Washington, DC: American Psychological Association.Google Scholar
Czajkowski, N, Aggen, SH, Krueger, RF, Kendler, KS, Neale, MC, Knudsen, GP, Gillespie, N, Røysamb, E, Tambs, K and Reichborn-Kjennerud, T (2018) A twin study of normative personality and DSM-IV personality disorder criterion counts; evidence for separate genetic influences. American Journal of Psychiatry 175, 649656.Google Scholar
Dyce, JA and O'Connor, BP (1998) Personality disorders and the five-factor model: a test of facet-level predictions. Journal of Personality Disorders 12, 3145.Google Scholar
Eysenck, HJ and Eysenck, SBG (1975) Manual of the Eysenck Personality Questionnaire. London: Hodder and Stoughton.Google Scholar
Harris, JR, Magnus, P and Tambs, K (2006) The Norwegian Institute of Public Health twin program of research: an update. Twin Research and Human Genetics 9, 858864.Google Scholar
Horn, JL (1965) A rationale and test for the number of factors in factor analysis. Psychometrika 30, 179185.Google Scholar
Jang, KL and Livesley, WJ (1999) Why do measures of normal and disordered personality correlate? A study of genetic comorbidity. Journal of Personality Disorders 13, 1017.Google Scholar
Jang, K and Vernon, PA (2001) Genetics. In Livesley, WJ (ed.), Handbook of Personality Disorders: Theory, Research, and Treatment. New York: Guilford Press, pp. 177195.Google Scholar
Jang, KL, Livesley, WJ, Vernon, PA and Jackson, DN (1996) Heritability of personality disorder traits: a twin study. Acta Psychiatrica Scandinavica 94, 438444.10.1111/j.1600-0447.1996.tb09887.xGoogle Scholar
John, OP and Srivastava, S (1999) The big-five trait taxonomy: history, measurement, and theoretical perspectives. In Pervin, LA and John, OP (eds), Handbook of Personality: Theory and Research, 2nd Edn. New York: Guilford Press, pp. 102139.Google Scholar
John, OP, Donahue, EM and Kentle, RL (1991) The Big Five Inventory-Versions 4a and 54 Berkeley. CA: University of California Berkeley, Institute of Personality and Social Research.Google Scholar
Kendler, KS, Czajkowski, N, Tambs, K, Torgersen, S, Aggen, SH, Neale, C and Reichborn-Kjennerud, T (2006) Dimensional representations of DSM-IV Cluster A personality disorders in a population-based sample of Norwegian twins: a multivariate study. Psychological Medicine 36, 15831591.Google Scholar
Kendler, KS, Aggen, SH, Czajkowski, N, Roysamb, E, Tambs, K, Torgersen, S, Neale, MC and Reichborn-Kjennerud, T (2008) The structure of genetic and environmental risk factors for DSM-IV personality disorders: a multivariate twin study. Archives of General Psychiatry 65, 14381446.Google Scholar
Kendler, KS, Aggen, SH, Neale, MC, Knudsen, GP, Krueger, RF, Tambs, K, Czajkowski, N, Ystrom, E, Orstavik, RE and Reichborn-Kjennerud, T (2015) A longitudinal twin study of cluster A personality disorders. Psychological Medicine 45, 15311538.Google Scholar
Kendler, KS, Aggen, SH, Gillespie, N, Neale, MC, Knudsen, GP, Krueger, RF, Czajkowski, N, Ystrom, E and Reichborn-Kjennerud, T (2017) The genetic and environmental sources of resemblance between normative personality and personality disorder traits. Journal of Personality Disorders 31, 193207.10.1521/pedi_2016_30_251Google Scholar
Krueger, RF, Derringer, J, Markon, KE, Watson, D and Skodol, AE (2012) Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine 42, 18791890.Google Scholar
Livesley, WJ (2007) A framework for integrating dimensional and categorical classifications of personality disorder. Journal of Personality Disorders 21, 199224.Google Scholar
Livesley, WJ and Jackson, DN (2009) Dimensional Assessment of Personality Pathology-Basic Questionnaire (DAPP-BQ) Technical Manual. Port Huron, MI: Sigma Assessment Systems, Inc.Google Scholar
Livesley, WJ and Jang, KL (2008) The behavioral genetics of personality disorder. Annual Reviews of Clinical Psychology 4, 247274.Google Scholar
Livesley, WJ, Jang, KL, Jackson, DN and Vernon, PA (1993) Genetic and environmental contributions to dimensions of personality disorder. American Journal of Psychiatry 150, 18261831.Google Scholar
Livesley, WJ, Jang, KL and Vernon, PA (1998) Phenotypic and genetic structure of traits delineating personality disorder. Archives of General Psychiatry 55, 941948.10.1001/archpsyc.55.10.941Google Scholar
Lorenzo-Seva, U and ten Berge, JMF (2006) Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology 2, 5764.Google Scholar
Markon, KE, Krueger, RF and Watson, D (2005) Delineating the structure of normal and abnormal personality: an integrative hierarchical approach. Journal of Personality and Social Psychology 88, 139157.Google Scholar
McGue, M (2002) Genetics of personality. In Rimoin, R, Pyeritz, R and Korf, B (eds.), Emery & Rimoin's Principles and Practice of Medical Genetics, 4th Edn. vol. 3. London: Churchill Livingstone, pp. 27912800.Google Scholar
Mehta, PD, Neale, MC and Flay, BR (2004) Squeezing interval change from ordinal panel data: latent growth curves with ordinal outcomes. Psychological Methods 9, 301333.Google Scholar
Neale, MC, Hunter, MD, Pritikin, JN, Zahery, M, Brick, TR, Kirkpatrick, RM, Estabrook, R, Bates, TC, Maes, HH and Boker, SM (2016) Openmx 2.0: extended structural equation and statistical modeling. Psychometrika 81, 535549.10.1007/s11336-014-9435-8Google Scholar
Pfohl, B, Blum, N and Zimmerman, M (1995) Structured Interview for DSM-IV Personality (SIDP-IV). Iowa City: University of Iowa, Department of Psychiatry.Google Scholar
Raftery, AE (1993) Bayesian model selection in structural equation models. In Bollen, KA and Long, JS (eds), Testing Structural Equation Models, 1st Edn. Newbury Park, CA: Sage, pp. 163180.Google Scholar
R Development Core Team (2014) The R Project for Statistical Computing; R: A language and environment for statistical computing. [3.1.2]. Vienna, Austria, R Foundation for Statistical Computing. Computer Program.Google Scholar
Reichborn-Kjennerud, T (2008) Genetics of personality disorders. Psychiatric Clinics of North America 31, 421440.Google Scholar
Reichborn-Kjennerud, T, Czajkowski, N, Neale, MC, Orstavik, RE, Torgersen, S, Tambs, K, Roysamb, E, Harris, JR and Kendler, KS (2007) Genetic and environmental influences on dimensional representations of DSM-IV cluster C personality disorders: a population-based multivariate twin study. Psychological Medicine 37, 645653.Google Scholar
Reichborn-Kjennerud, T, Czajkowski, N, Ystrom, E, Orstavik, R, Aggen, SH, Tambs, K, Torgersen, S, Neale, MC, Roysamb, E, Krueger, RF, Knudsen, GP and Kendler, KS (2015) A longitudinal twin study of borderline and antisocial personality disorder traits in early to middle adulthood. Psychological Medicine 45, 31213131.Google Scholar
Reichborn-Kjennerud, T, Krueger, RF, Ystrom, E, Torvik, FA, Rosenstrom, TH, Aggen, SH, South, SC, Neale, MC, Knudsen, GP, Kendler, KS and Czajkowski, NO (2017) Do DSM-5 Section II personality disorders and Section III personality trait domains reflect the same genetic and environmental risk factors? Psychological Medicine 47, 22052215.Google Scholar
Revelle, W (2015) Psych: Procedures for Psychological, Psychometric, and Personality Research. [1.5.6]. Northwestern University. Computer Program.Google Scholar
Robins, E and Guze, SB (1970) Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia. American Journal of Psychiatry 126, 983987.Google Scholar
Samuel, DB and Widiger, TA (2008) A meta-analytic review of the relationships between the five-factor model and DSM-IV-TR personality disorders: a facet level analysis. Clinical Psychology Review 28, 13261342.Google Scholar
Saulsman, LM and Page, AC (2004) The five-factor model and personality disorder empirical literature: a meta-analytic review. Clinical Psychology Review 23, 10551085.Google Scholar
South, SC, Reichborn-Kjennerud, T, Eaton, NR and Krueger, RF (2015) Genetics of personality. In Mikulincer, M, Shaver, PR, Cooper, ML and Larsen, RJ (eds.), APA handbooks in psychology. APA handbook of personality and social psychology, Vol. 4. Personality processes and individual differences. Washington, DC, US: American Psychological Association, pp. 31–60.Google Scholar
South, SC, Krueger, RF, Knudsen, GP, Ystrom, E, Czajkowski, N, Aggen, SH, Neale, MC, Gillespie, NA, Kendler, KS and Reichborn-Kjennerud, T (2016) A population based twin study of DSM-5 maladaptive personality domains. Personality Disorders 8, 366375.Google Scholar
Tambs, K, Ronning, T, Prescott, CA, Kendler, KS, Reichborn-Kjennerud, T, Torgersen, S and Harris, JR (2009) The Norwegian Institute of Public Health twin study of mental health: examining recruitment and attrition bias. Twin Research and Human Genetics 12, 158168.Google Scholar
Torgersen, S, Lygren, S, Oien, PA, Skre, I, Onstad, S, Edvardsen, J, Tambs, K and Kringlen, E (2000) A twin study of personality disorders. Comprehensive Psychiatry 41, 416425.Google Scholar
Torgersen, S, Czajkowski, N, Jacobson, K, Reichborn-Kjennerud, T, Roysamb, E, Neale, MC and Kendler, KS (2008) Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: a multivariate study. Psychological Medicine 38, 16171625.Google Scholar
Wright, ZE, Pahlen, S and Krueger, RF (2017) 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. Journal of Abnormal Psychology 126, 416428.Google Scholar
Zachar, P, Krueger, RF and Kendler, KS (2016) Personality disorder in DSM-5: an oral history. Psychological Medicine 46, 110.Google Scholar
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