Evidence map›Paper›PMID 33510390›Full record

ArticleNature human behaviour2021

Genetic underpinnings of risky behaviour relate to altered neuroanatomy.

Gökhan Aydogan, Remi Daviet, Richard Karlsson Linnér, Todd A Hare, Joseph W Kable, Henry R Kranzler, Reagan R Wetherill, Christian C Ruff, Philipp D Koellinger, BIG BEAR Consortium and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 42 citations in OpenAlex.

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  9. Social Risk Coding by Amygdala Activity and Connectivity with the Dorsal Anterior Cingulate Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Gökhan AydoganZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-2187-7912
Remi DavietMarketing Department, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-0838-3619
Richard Karlsson LinnérDepartment of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-7839-2858
Todd A HareZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0260-2772
Joseph W KableMarketing Department, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6495-9040
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1018-0450
Reagan R WetherillDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1991-6292
Christian C RuffZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3964-2364
Philipp D KoellingerDepartment of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-7413-0412
BIG BEAR Consortium
Gideon NaveMarketing Department, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. gnave@wharton.upenn.edu.ORCID http://orcid.org/0000-0001-6251-5630
University of Pennsylvania · USUniversity of Zurich · CHUniversity of Wisconsin–Madison · USVeterans Health Administration · USVrije Universiteit Amsterdam · NLWilliam P. Wharton Trust · US

Funding

Radiochemistry CoreP30DA046345 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD · 2019 to 2023
$9.4M
Effectiveness of Bavisant:Characterizing Individual DifferencesK23AA023894 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI WETHERILL, REAGAN R · 2015 to 2019
$856k
NIAAA NIH HHS K23 AA023894NIDA NIH HHS P30 DA046345
6 · The paper itself

Abstract

Previous research points to the heritability of risk-taking behaviour. However, evidence on how genetic dispositions are translated into risky behaviour is scarce. Here, we report a genetically informed neuroimaging study of real-world risky behaviour across the domains of drinking, smoking, driving and sexual behaviour in a European sample from the UK Biobank (N = 12,675). We find negative associations between risky behaviour and grey-matter volume in distinct brain regions, including amygdala, ventral striatum, hypothalamus and dorsolateral prefrontal cortex (dlPFC). These effects are replicated in an independent sample recruited from the same population (N = 13,004). Polygenic risk scores for risky behaviour, derived from a genome-wide association study in an independent sample (N = 297,025), are inversely associated with grey-matter volume in dlPFC, putamen and hypothalamus. This relation mediates roughly 2.2% of the association between genes and behaviour. Our results highlight distinct heritable neuroanatomical features as manifestations of the genetic propensity for risk taking.

Indexed as

Alcohol DrinkingAutomobile DrivingRisk-TakingSexual BehaviorSmokingAdultAgedAmygdalaFemaleGenome-Wide Association StudyGray MatterHumansHypothalamusMaleMiddle AgedMultifactorial Inheritance

Identifiers

PMID33510390
PMCPMC10566430
OpenAlexW3125511329

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.