Summary:
A massive meta-analysis spanning up to 1.14 million individuals across 46 research groups has yielded the most comprehensive genetic architecture of human personality to date. Published in Nature, the study identified 1,260 specific genetic variants associated with the “Big Five” personality traits, 824 of which are completely novel. The findings demonstrate that personality is deeply polygenic, driven by thousands of genetic variations each exerting tiny influences alongside environmental factors, while also revealing shared genetic roots between traits like neuroticism and psychiatric illness.
Key Facts:
- Scale and Scope: Combining genomic data from 611,000 to 1.14 million people depending on the trait, the study identified 1,260 genetic variants linked to the Big Five personality domains, including 824 newly discovered loci.
- Extreme Polygenicity: Common single-nucleotide polymorphisms account for roughly 5% to 9% of personality variation, with statistical models estimating that more than 16,000 common variants independently contribute to each trait.
- Health and Psychiatric Overlap: Genetic variants predisposing individuals to high neuroticism overlapped broadly with susceptibility to mood and psychiatric disorders, whereas variants tied to high conscientiousness correlated with lower substance use and regular physical activity.
Source: Perelman School of Medicine at the University of Pennsylvania
Human personality, the characteristic patterns of thinking, feeling, and behaving that distinguish one individual from another, has fascinated philosophers and psychologists for centuries. While twin and family studies have long confirmed that personality traits are moderately heritable, isolating the specific DNA sequences underlying these complex psychological frameworks has proven exceptionally challenging.
Now, an international collaboration combining data from 46 research consortia has delivered the largest, most detailed genetic investigation of personality traits ever conducted.
Publishing in Nature, the multi-institutional research team analyzed genomic data from cohorts ranging from 611,000 to 1.14 million participants to map the genomic landscape of the “Big Five” personality domains: extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience.
The analysis identified 1,260 specific genetic variants tied to personality dimensions, with 824 residing in chromosomal regions never previously linked to the corresponding psychological trait.
Thousands of Tiny Genetic Whispers
Rather than revealing isolated “master genes” for boldness, warmth, or emotional volatility, the findings demonstrate that personality is profoundly polygenic.
Common single-nucleotide variants collectively accounted for 5% to 9% of the measured variance across the Big Five traits in primary genome-wide association analyses (GWAS). Modeling projections indicate that more than 16,000 common genetic variants independently contribute to each individual personality domain, with every single variant exerting a miniscule effect on overall behavior.
“There isn’t a single gene for being outgoing or conscientious,” said co-author Henry R. Kranzler, MD, professor of psychiatry at the Perelman School of Medicine at the University of Pennsylvania and director of Penn’s Center for Studies of Addiction. “What we see instead are thousands of genetic differences that individually contribute a small amount, but collectively shape personality, alongside the many influences of a person’s environment.”
The genetic architecture remained strikingly consistent across diverse age demographics, Western geographic cohorts, differing psychometric survey tools, and whether participants self-reported their personalities or were rated by close acquaintances. Among the Big Five, agreeableness displayed the least cross-cohort genetic consistency, suggesting a stronger susceptibility to sociocultural and situational moderation.
To guard against environmental confounding, the investigators performed within-family analyses comparing siblings and family members. These tests confirmed that the vast majority of identified genetic signals could not be chalked up to shared home environments or parental socioeconomics.
Pleiotropy: The Genomic Bridge Between Mind and Body
Beyond charting personality architecture, the researchers investigated genetic correlations between personality profiles and physical and mental health outcomes.
The cross-trait analysis revealed substantial shared genetic biology (pleiotropy):
- Neuroticism: Variants associated with high neuroticism (emotional instability and negative affect) showed extensive genetic correlation with elevated risk across major depressive disorder, generalized anxiety, and diverse psychiatric phenotypes.
- Conscientiousness: Genetic variants linked to high conscientiousness (organization, goal-directed behavior, and impulse control) correlated genetically with protective health profiles, including reduced substance misuse and higher rates of habitual exercise.
Influence, Not Destiny
Crucially, the study authors emphasize that these genetic profiles operate on population-level statistical distributions and cannot be used to clinically diagnose, predict, or pigeonhole an individual’s life trajectory. At the individual level, polygenic scores accounted for only a modest proportion of behavioral variation.
“These findings give us a new tool for studying why personality is connected to so many aspects of health and behavior,” Dr. Kranzler noted. “But they also reinforce an important point: our DNA influences, but does not dictate our personality or our future.”
The researchers underscored that current genomic cohorts remain disproportionately skewed toward individuals of European ancestry. Expanding biobanks to encompass broader ancestral, geographic, and cultural backgrounds will be essential to verify whether these 1,260 variants operate identically across global populations and to unravel how genetic liabilities interact dynamically with unique social environments.
Funding: The research was supported by multiple funding sources, including grants from the National Institute of Mental Health and National Institute on Aging.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- Journal paper reviewed in full.
- Additional context added by our staff.
About this genetics and personality research:
- Media Contact: Eric Horvath
- Source: University of Pennsylvania
- Image Credit: Image credited to Neuroscience News
- Original Research is Open Access: Nature (Oct 1, 2026). “Robust inference and correlates from genetic associations with personality.” 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, Gibran Hemani, Javier de la Fuente, George Davey Smith, Priya Gupta, Murray B. Stein, Joel Gelernter, Daniel F. Levey, Urmo Võsa, Liisi Ausmees, Anu Realo, Estonian Biobank Research Team, Mariliis Vaht, Jüri Allik, Tõnu Esko, René Mõttus, Uku Vainik, Gudrun A. Jonsdottir, Gudmar Thorleifsson, Árni Freyr Gunnarsson, Gyda Bjornsdottir, Thorgeir E. Thorgeirsson, Hreinn Stefansson, Kari Stefansson, Rosa Cheesman, Qi Qin, Elizabeth C. Corfield, Helga Ask, Fartein Ask Torvik, Eivind Ystrom, Martin Tesli, Dorret I. Boomsma, Eco J. C. de Geus, Jouke-Jan Hottenga, Dener Cardoso Melo, Harold Snieder, Catharina A. Hartman, Charley Xia, Archie Campbell, Michelle Luciano, Ian J. Deary, W. David Hill, Seon-Kyeong Jang, Scott I. Vrieze, Gonçalo Abecasis, Michelle K. Lupton, Brittany L. Mitchell, Petra V. Viher, Lucía Colodro-Conde, Nicholas G. Martin, Sarah E. Medland, Eske M. Derks, Briar Wormington, Jaakko Kaprio, Karri Silventoinen, Teemu Palviainen, Agnieszka Musial, Kaili Rimfeld, Robert Plomin, Margherita Malanchini, Danielle M. Dick, Fazil Aliev, COGA Collaborators, The Spit for Science Working Group, Laura W. Wesseldijk, Fredrik Ullén, Miriam A. Mosing, Henry R. Kranzler, Yaira Nunez, Sarah Beck, Renato Polimanti, Tobias Edwards, Alexandros Giannelis, Emily A. Willoughby, James J. Lee, Matt 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, Terho Lehtimäki, Olli T. Raitakari, Mika Kähönen, Aino Saarinen, Henrik Dobewall, Liisa Keltikangas-Järvinen, Klaus Berger, Marisol Herrera-Rivero, Fabian Streit, Swapnil Awasthi, Stephanie H. Witt, Johanna Tuhkanen, Katri Räikkönen, Johan G. Eriksson, Jari Lahti, Gail Davies, Paul Redmond, Adele Taylor, Janie Corley, Tom C. Russ, Marina Ciullo, Teresa Nutile, Jun Ding, Yong Qian, Toshiko Tanaka, Luigi Ferrucci, Lea Zillich, Lea Sirignano, K. Paige Harden, Erhan Genç, Patrick D. Gajewski, Stephan Getzmann, Christoph Fraenz, Javier E. Schneider Peñate, Stefanie Lis, Alisha S. M. Hall, Christian Schmahl, Sabine C. Herpertz, Abdel Abdellaoui, Michel G. Nivard & Elliot M. Tucker-Drob.
- DOI: 10.1038/s41586-026-10992-9
Abstract
Robust inference and correlates from genetic associations with personality
Personality traits describe stable differences in how people think, feel and behave, and how they interact with and experience their social and physical environments. 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 variants.
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 traits, 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.
