Vukasović, T. & Bratko, D. Heritability of personality: a meta-analysis of behavior genetic studies. Psychol. Bull. 141, 769–785 (2015).
Okbay, A. et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624–633 (2016).
Smith, D.J. et al. Genome-wide analysis of over 106,000 individuals identifies 9 neuroticism-associated loci. Mol. Psychiatry 21, 749–757 (2016).
Goldberg, L.R. The structure of phenotypic personality traits. Am. Psychol. 48, 26–34 (1993).
Trull, T.J. & Widiger, T.A. Dimensional models of personality: the five-factor model and the DSM-5. Dialogues Clin. Neurosci. 15, 135–146 (2013).
de Moor, M.H. et al. Meta-analysis of genome-wide association studies for personality. Mol. Psychiatry 17, 337–349 (2012).
de Moor, M.H. et al. Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder. JAMA Psychiatry 72, 642–650 (2015).
Kim, H.N. et al. Genome-wide association study of the five-factor model of personality in young Korean women. J. Hum. Genet. 58, 667–674 (2013).
Bulik-Sullivan, B.K. et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291–295 (2015).
Tabarés-Seisdedos, R. & Rubenstein, J.L.R. Chromosome 8p as a potential hub for developmental neuropsychiatric disorders: implications for schizophrenia, autism and cancer. Mol. Psychiatry 14, 563–589 (2009).
Greenwood, T.A., Akiskal, H.S. & Akiskal, K.K. Bipolar Genome Study & Kelsoe, J.R. Genome-wide association study of temperament in bipolar disorder reveals significant associations with three novel loci. Biol. Psychiatry 72, 303–310 (2012).
Green, E. et al. Localization of bipolar susceptibility locus by molecular genetic analysis of the chromosome 12q23-q24 region in two pedigrees with bipolar disorder and Darier's disease. Am. J. Psychiatry 162, 35–42 (2005).
Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014).
Van Os, J. & Jones, P.B. Neuroticism as a risk factor for schizophrenia. Psychol. Med. 31, 1129–1134 (2001).
Åberg, K. et al. Genome-wide association study of movement-related adverse antipsychotic effects. Biol. Psychiatry 67, 279–282 (2010).
Rietveld, C.A. et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc. Natl. Acad. Sci. USA 111, 13790–13794 (2014).
Poropat, A.E. A meta-analysis of adult-rated child personality and academic performance in primary education. Br. J. Educ. Psychol. 84, 239–252 (2014).
Giambartolomei, C. et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet. 10, e1004383 (2014).
Power, R.A. & Pluess, M. Heritability estimates of the Big Five personality traits based on common genetic variants. Transl. Psychiatry 5, e604 (2015).
Barnett, J.H. et al. Personality and bipolar disorder: dissecting state and trait associations between mood and personality. Psychol. Med. 41, 1593–1604 (2011).
Hettema, J.M., Neale, M.C., Myers, J.M., Prescott, C.A. & Kendler, K.S. A population-based twin study of the relationship between neuroticism and internalizing disorders. Am. J. Psychiatry 163, 857–864 (2006).
Jakobwitz, S. & Egan, V. The dark triad and normal personality traits. Pers. Individ. Dif. 40, 331–339 (2006).
Kendler, K.S. & Myers, J. The genetic and environmental relationship between major depression and the five-factor model of personality. Psychol. Med. 40, 801–806 (2010).
Insel, T. et al. Research domain criteria (RDoC): toward a new classification framework for research on mental disorders. Am. J. Psychiatry 167, 748–751 (2010).
DeYoung, C.G. The neuromodulator of exploration: a unifying theory of the role of dopamine in personality. Front. Hum. Neurosci. 7, 762 (2013).
Power, R.A. et al. Polygenic risk scores for schizophrenia and bipolar disorder predict creativity. Nat. Neurosci. 18, 953–955 (2015).
Karalunas, S.L. et al. Subtyping attention-deficit/hyperactivity disorder using temperament dimensions: toward biologically based nosologic criteria. JAMA Psychiatry 71, 1015–1024 (2014).
Gray, J.A. The psychophysiological basis of introversion-extraversion. Behav. Res. Ther. 8, 249–266 (1970).
Mezquita, L. et al. Five-factor model and internalizing and externalizing syndromes: a 5-year prospective study. Pers. Individ. Dif. 79, 98–103 (2015).
Plomin, R., Haworth, C.M. & Davis, O.S. Common disorders are quantitative traits. Nat. Rev. Genet. 10, 872–878 (2009).
Hu, Y. et al. GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person. Nat. Commun. 7, 10448 (2016).
Pickrell, J.K. et al. Detection and interpretation of shared genetic influences on 42 human traits. Nat. Genet. 48, 709–717 (2016).
Falush, D., Stephens, M. & Pritchard, J.K. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164, 1567–1587 (2003).
Henn, B.M. et al. Cryptic distant relatives are common in both isolated and cosmopolitan genetic samples. PLoS One 7, e34267 (2012).
van den Berg, S.M. et al. Meta-analysis of genome-wide association studies for extraversion: findings from the Genetics of Personality Consortium. Behav. Genet. 46, 170–182 (2016).
van den Berg, S.M. et al. Harmonization of neuroticism and extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory. Behav. Genet. 44, 295–313 (2014).
Costa, P.T. & McCrae, R.R. Revised NEO Personality Inventory (NEO PI-RTM) and NEO Five-Factor Inventory (NEO-FFI): Professional Manual (Psychological Assessment Resources, 1992).
Bjornsdottir, G. et al. Psychometric properties of the Icelandic NEO-FFI in a general population sample compared to a sample recruited for a study on the genetics of addiction. Pers. Individ. Dif. 58, 71–75 (2014).
Gulcher, J.R., Kristjánsson, K., Gudbjartsson, H. & Stefánsson, K. Protection of privacy by third-party encryption in genetic research in Iceland. Eur. J. Hum. Genet. 8, 739–742 (2000).
John, O.P.D., E., M. & Kentle, R.L. The Big Five Inventory—versions 4a and 54 (University of California, Berkeley Institute of Personality and Social Research, 1991).
Soto, C.J. & John, O.P. Ten facet scales for the Big Five Inventory: convergence with NEO PI-R facets, self-peer agreement, and discriminant validity. J. Res. Pers. 43, 84–90 (2009).
Eysenck, S.B.G., Eysenck, H.J. & Barrett, P. A revised version of the psychoticism scale. Pers. Individ. Dif. 6, 21–29 (1985).
Pruim, R.J. et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics 26, 2336–2337 (2010).
Bůžková, P. Linear regression in genetic association studies. PLoS One 8, e56976 (2013).
Lehoucq, R.B., Sorensen, D.C. & Yang, C. Society for Industrial and Applied Mathematics. ARPACK Users' Guide: Solution of Large-scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods (Society for Industrial and Applied Mathematics, 1998).
1000 Genomes Project Consortium. et al. A map of human genome variation from population-scale sequencing. Nature 467, 1061–1073 (2010).
Browning, S.R. & Browning, B.L. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. Am J. Human Genet. 81, 1084–1097 (2007).
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J. & Abecasis, G.R. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat. Genet. 44, 955–959 (2012).
Gudbjartsson, D.F. et al. Large-scale whole-genome sequencing of the Icelandic population. Nat. Genet. 47, 435–444 (2015).
Thompson, W.K. et al. An empirical Bayes mixture model for effect size distributions in genome-wide association studies. PLoS Genet. 11, e1005717 (2015).
Wang, Y. et al. leveraging genomic annotations and pleiotropic enrichment for improved replication rates in schizophrenia GWAS. PLoS Genet. 12, e1005803 (2016).
Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
Devlin, B. & Roeder, K. Genomic control for association studies. Biometrics 55, 997–1004 (1999).
Willer, C.J., Li, Y. & Abecasis, G.R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010).
Hibar, D.P. et al. Common genetic variants influence human subcortical brain structures. Nature 520, 224–229 (2015).
So, H.C., Li, M. & Sham, P.C. Uncovering the total heritability explained by all true susceptibility variants in a genome-wide association study. Genet. Epidemiol. 35, 447–456 (2011).
Yang, J. et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat. Genet. 44, 369–375 (2012).
Bulik-Sullivan, B. et al. An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241 (2015).
Distel, M.A. et al. The five-factor model of personality and borderline personality disorder: a genetic analysis of comorbidity. Biol. Psychiatry 66, 1131–1138 (2009).
Ono, Y. et al. Genetic structure of the five-factor model of personality in a Japanese twin population. Keio J. Med. 49, 152–158 (2000).
Cross-Disorder Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013).
Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nat. Genet. 43, 977–983 (2011).
Ripke, S. et al. A mega-analysis of genome-wide association studies for major depressive disorder. Mol. Psychiatry 18, 497–511 (2013).
Boraska, V. et al. A genome-wide association study of anorexia nervosa. Mol. Psychiatry 19, 1085–1094 (2014).
Ramasamy, A. et al. Genetic variability in the regulation of gene expression in ten regions of the human brain. Nat. Neurosci. 17, 1418–1428 (2014).
Trabzuni, D. et al. Quality control parameters on a large dataset of regionally dissected human control brains for whole genome expression studies. J. Neurochem. 119, 275–282 (2011).
Franke, B. et al. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nat. Neurosci. 19, 420–431 (2016).
Nyholt, D.R. SECA: SNP effect concordance analysis using genome-wide association summary results. Bioinformatics 30, 2086–2088 (2014).