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Personality Polygenes, Positive Affect, and Life Satisfaction

  • Alexander Weiss (a1), Bart M. L. Baselmans (a2) (a3), Edith Hofer (a4) (a5), Jingyun Yang (a6) (a7), Aysu Okbay (a8) (a9) (a10), Penelope A. Lind (a11), Mike B. Miller (a12), Ilja M. Nolte (a13), Wei Zhao (a14), Saskia P. Hagenaars (a1) (a15), Jouke-Jan Hottenga (a2) (a3), Lindsay K. Matteson (a12), Harold Snieder (a13), Jessica D. Faul (a16), Catharina A. Hartman (a17), Patricia A. Boyle (a6) (a18), Henning Tiemeier (a9) (a19) (a20), Miriam A. Mosing (a21) (a22), Alison Pattie (a1), Gail Davies (a1), David C. Liewald (a1), Reinhold Schmidt (a4), Philip L. De Jager (a23) (a24) (a25), Andrew C. Heath (a26), Markus Jokela (a27), John M. Starr (a28), Albertine J. Oldehinkel (a17), Magnus Johannesson (a29), David Cesarini (a30) (a31), Albert Hofman (a9), Sarah E. Harris (a1) (a32), Jennifer A. Smith (a14), Liisa Keltikangas-Järvinen (a33), Laura Pulkki-Råback (a33) (a34), Helena Schmidt (a35) (a36), Jacqui Smith (a37), William G. Iacono (a12), Matt McGue (a12), David A. Bennett (a6) (a7), Nancy L. Pedersen (a22), Patrik K. E. Magnusson (a22), Ian J. Deary (a1), Nicholas G. Martin (a11), Dorret I. Boomsma (a2) (a3) (a38), Meike Bartels (a2) (a3) (a38) and Michelle Luciano (a1)...

Abstract

Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of -0.49 and -0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.

Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Address for correspondence: Michelle Luciano, Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, 7 George Square, EH8 9JZ Edinburgh, UK. E-mail: michelle.luciano@ed.ac.uk

References

Hide All
Adams, M. J., King, J. E., & Weiss, A. (2012). The majority of genetic variation in orangutan personality and subjective well-being is nonadditive. Behavior Genetics, 42, 866–866.
Bartels, M. (2015). Genetics of wellbeing and its components satisfaction with life, happiness, and quality of life: A review and meta-analysis of heritability studies. Behavior Genetics, 45, 137156.
Bartels, M., & Boomsma, D. I. (2009). Born to be happy? The etiology of subjective well-being. Behavior Genetics, 39, 605615.
Bouchard, T. J. Jr., & Loehlin, J. C. (2001). Genes, evolution, and personality. Behavior Genetics, 31, 243273.
Bulik-Sullivan, B., Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P. R., . . . Neale, B. M. (2015). An atlas of genetic correlations across human diseases and traits. Nature Genetics, 47, 12361241.
de Moor, M. H., Costa, P. T., Terracciano, A., Krueger, R. F., de Geus, E. J., Toshiko, T., . . . Boomsma, D. I. (2012). Meta-analysis of genome-wide association studies for personality. Molecular Psychiatry, 17, 337349.
de Moor, M. H., van den Berg, S. M., Verweij, K. J., Krueger, R. F., Luciano, M., Arias Vasquez, A., . . . Boomsma, D. I. (2015). Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder. JAMA Psychiatry, 72, 642650.
DeNeve, K. M., & Cooper, H. (1998). The happy personality: A meta-analysis of 137 personality traits and subjective well-being. Psychological Bulletin, 124, 197229.
Dudbridge, F. (2013). Power and predictive accuracy of polygenic risk scores. PLoS Genetics, 9, e1003348.
Euesden, J., Lewis, C. M., & O'Reilly, P. F. (2015). PRSice: Polygenic risk score software. Bioinformatics, 31, 14661468.
Eysenck, H. J., & Eysenck, S. B. G. (1991). Eysenck Personality Questionnaire – Revised (EPQ-R). London: L Hodder & Stoughton.
Hagenaars, S. P., Harris, S. E., Davies, G., Hill, W. D., Liewald, D. C., Ritchie, S. J., . . . Deary, I. J. (2016). Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia. Molecular Psychiatry. Advance online publication.
Hahn, E., Gottschling, J., König, C. J., & Spinath, F. M. (2016). The heritability of job satisfaction reconsidered: Only unique environmental influences beyond personality. Journal of Business and Psychology. Advance online publication.
Hahn, E., Johnson, W., & Spinath, F. M. (2013). Beyond the heritability of life satisfaction – The roles of personality and twin-specific influences. Journal of Research in Personality, 47, 757767.
Hare, E., Contreras, J., Raventos, H., Flores, D., Jerez, A., Nicolini, H., . . . Escamilla, M. (2012). Genetic structure of personality factors and bipolar disorder in families segregating bipolar disorder. Journal of Affective Disorders, 136, 10271033.
Keller, M. C., Coventry, W. L., Heath, A. C., & Martin, N. G. (2005). Widespread evidence for non-additive genetic variation in Cloninger's and Eysenck's personality dimensions using a twin plus sibling design. Behavior Genetics, 35, 707721.
Lee, S. H., Yang, J., Goddard, M. E., Visscher, P. M., & Wray, N. R. (2012). Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood. Bioinformatics, 28, 25402542.
Luciano, M., Huffman, J. E., Arias-Vasquez, A., Vinkhuyzen, A. A., Middeldorp, C. M., Giegling, I., . . . Deary, I. J. (2012). Genome-wide association uncovers shared genetic effects among personality traits and mood states. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B, 684695.
Luciano, M., MacLeod, A. K., Payton, A., Davies, G., Ke, X. Y., Tenesa, A., . . . Deary, I. J. (2012). Effects of gene copy number variants on personality and mood in ageing cohorts. Personality and Individual Differences, 53, 393397.
Middeldorp, C. M., Cath, D. C., Van Dyck, R., & Boomsma, D. I. (2005). The co-morbidity of anxiety and depression in the perspective of genetic epidemiology. A review of twin and family studies. Psychological Medicine, 35, 611624.
Middeldorp, C. M., de Moor, M. H., McGrath, L. M., Gordon, S. D., Blackwood, D. H., Costa, P. T., . . . Boomsma, D. I. (2011). The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data. Translational Psychiatry, 1, e50.
Okbay, A., Baselmans, B. M., De Neve, J. E., Turley, P., Nivard, M. G., Fontana, M. A., . . . Cesarini, D. (2016). Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics, 48, 624633.
Power, R. A., & Pluess, M. (2015). Heritability estimates of the big five personality traits based on common genetic variants. Translational Psychiatry, 5, e604.
Purcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O'Donovan, M. C., Sullivan, P. F., . . . Sklar, P. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460, 748752.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A., Bender, D., . . . Sham, P. C. (2007). PLINK: A tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics, 81, 559575.
Russell, J. A., & Carroll, J. M. (1999). On the bipolarity of positive and negative affect. Psychological Bulletin, 125, 330.
van den Berg, S. M., de Moor, M. H., McGue, M., Pettersson, E., Terracciano, A., Verweij, K. J., . . . Boomsma, D. I. (2014). Harmonization of neuroticism and extraversion phenotypes across inventories and cohorts in the genetics of personality consortium: An application of item response theory. Behavior Genetics, 44, 295313.
van den Berg, S. M., de Moor, M. M., Verweij, K. H., Krueger, R., Luciano, M., Arias Vasquez, A., . . . Boomsma, D. I. (2015). Meta-analysis of genome-wide association studies for extraversion: Findings from the genetics of personality consortium. Behavior Genetics, 46, 170182.
Weiss, A., Bates, T. C., & Luciano, M. (2008). Happiness is a personal(ity) thing – The genetics of personality and well-being in a representative sample. Psychological Science, 19, 205210.
Weiss, A., King, J. E., & Enns, R. M. (2002). Subjective well-being is heritable and genetically correlated with dominance in chimpanzees (Pan troglodytes). Journal of Personality and Social Psychology, 83, 11411149.
Wray, N. R., Lee, S. H., Mehta, D., Vinkhuyzen, A. A., Dudbridge, F., & Middeldorp, C. M. (2014). Research review: Polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, 55, 10681087.
Yang, J. A., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88, 7682.
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