Robust inference and correlates from genetic associations with personality

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Authors: Ted Schwaba, Margaret L. Clapp Sullivan, Wonuola A. Akingbuwa, Kerli Ilves, Peter T. Tanksley, Camille M. Williams, Yavor Dragostinov, Travis T. Mallard, Justin D. Tubbs, Wangjingyi Liao, Lindsay S. Ackerman, Josephine C. M. Fealy
+88 more Gibran Hemani, Javier de la Fuente, George Davey Smith, Priya Gupta, Murray B. Stein, Joel E. Gelernter, Daniel F. Levey, Urmo Võsa, Liisi Ausmees, Anu Realo, Tõnu Esko, Mariliis Vaht, Jüri Allïk, Tõnu Esko, René Mõttus, Uku Vainik, Guðrún A. Jónsdóttir, Gudmar Thorleifsson, Árni Freyr Gunnarsson, Gyða Björnsdóttir, Thorgeir Elís Thorgeirsson, Hreinn Stefánsson, Kari Stefansson, Rosa Cheesman, Qi Qin, Elizabeth C. Corfield, Helga Ask, Fartein Ask Torvik, Eivind Ystrøm, Martin Tesli, Dorret Irene Boomsma, Eco J. C. de Geus, Jouke-Jan Hottenga, Dener Cardoso Melo, Harold Snieder, Catharina Annette Hartman, Charley Xia, Archie I Campbell, Michelle Luciano, Ian J. Deary, W. David Hill, Seon-Kyeong Jang, Scott I. Vrieze, Gonçalo R. Abecasis, Michelle K. Lupton, Brittany L. Mitchell, Petra V. Viher, Lucía Colodro‐Conde, Nicholas G. Martin, Sarah Elizabeth Medland, Eske M. Derks, Briar Wormington, Jaakko A. Kaprio, Karri Silventoinen, Teemu Palviainen, Agnieszka Musial, Kaili Rimfeld, Robert J. Plomin, Margherita Malanchini, Danielle M. Dick, Fazil Aliev, COGA Collaborators, The Spit for Science Working Group, Laura W. Wesseldijk, Fredrik Ullén, Miriam Anna Mosing, Henry R. Kranzler, Yaira Nunez, S L Beck, Renato A Polimanti, Tobias Edwards, Alexandros Giannelis, Emily A. Willoughby, James J. Lee, Matt K. McGue, Antonio Terracciano, Michele Marongiu, Edoardo Fiorillo, Francesco Cucca, Angelina R. Sutin, Peter J. van der Most, Albertine J. Oldehinkel, Tina Kretschmer, Andrey A. Shabalin, Anna R. Docherty, Robert F. Krueger, Colin D. Freilich, Binisha H. Mishra
Cited by: 1
References: 85

Abstract

Personality traits describe stable differences in how people think, feel and behave, and how they interact with and experience their social and physical environments1,2. Many questions remain unanswered about associations between DNA and personality traits, such as their robustness, their generalizability and the biological and social pathways through which they act. Here we meta-analyse data across 46 cohorts comprising 611,037 to 1.14 million participants with European-like and African-like genomes for genome-wide association studies (GWAS) of the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism and openness to experience), and data from up to 50,725 participants for within-family GWAS. We identify 1,260 lead genetic variants associated with personality, including 824 novel variants3. Common genetic variants explain a moderate 4.8–9.3% of the variance in measures of each trait, and 9.3–13.3% among instruments with typical measurement reliability. Genetic associations with personality are highly consistent but not identical across geography, reporter (self versus close other), age group and measurement instrument, and we find minimal spousal assortment for personality in recent history. In contrast to many other social and behavioural traits4,5, within-family GWAS and polygenic index analyses indicate that genetic associations with personality are minimally confounded by the shared family environment. Polygenic prediction, genetic correlation and Mendelian randomization analyses indicate that personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes. Overall, we find that the genetic architecture of personality is robustly generalizable, minimally confounded and widely relevant to human experience. The genetic architecture of personality is robustly generalizable, minimally confounded and widely relevant to human experience.

Fields of Study & Subjects

Genetic Associations and Epidemiology Cognitive Abilities and Testing Personality Traits and Psychology

Publication details

Journal / source
Nature
Publisher
Springer Science and Business Media LLC
Publication date
2 September 2026
Language
EN