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Massive study identifies genetic variants associated with five major personality traits (opens in a new tab)

news-medical.net · 2026-10-24

Short answerEvidenceSource

Short answer

Mixed

Mixed.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 3 supported
  • 3 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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NewsLink checks it

Mixed

Every claim we could check holds up. Three of six claims match the study. This overall rating is based only on the claims we could check. Three claims the study doesn't address.

  • 3 supported
  • 3 not covered
Open claim evidence
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Source paper

Source layer

The 2 papers the story cites

Source study separated from background citations.

The research anchor for the report.

Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

6 claims in this story

Showing all 6 claimsChoose a verdict to focus the list.

Claim 1 of 6Not coveredCommon genetic variants explained about 5% to 9% of the differences in personality measured in the study's primary analysis, and the researchers estimated that more than 16,000 common variants independently contribute to each trait.View evidenceHide evidence

As stated5% to 9%; more than 16,000 variants

Why this verdict

The 5% to 9% variance-explained portion is supported by the abstract-level profile, which reports 4.8–9.3% of variance explained by common genetic variants. However, the additional claim that more than 16,000 common variants independently contribute to each trait is not present in the supplied abstract-level profile, so that part cannot be verified at this evidence depth.

1

Study evidence

Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel

“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”
Claim 2 of 6Not coveredThe study found genetic overlap between personality traits and a broad range of behaviors and health outcomes, including mental health conditions, substance use, and physical activity.View evidenceHide evidence

Why this verdict

The profile supports broad downstream analyses linking personality genetics to consequential behaviours and life outcomes through polygenic prediction, genetic correlation and Mendelian randomization. But the abstract-level profile does not list the specific outcome domains named in the story—mental health conditions, substance use, and physical activity—so the specific examples are not verifiable at this depth.

1

Study evidence

Polygenic index analyses show widespread associations between genetic propensity for personality traits and consequential behaviours and life outcomes; the authors describe these associations as potentially causal when considered together with genetic-correlation and Mendelian-randomization results.

“Polygenic prediction ... indicate that personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes”
2

Study evidence

Genetic correlation analyses indicate that personality traits show widespread genetic associations with consequential behaviours and life outcomes.

“Polygenic prediction, genetic correlation and Mendelian randomization analyses indicate that personality traits have widespread, potentially causal associations”
Claim 3 of 6Not coveredThe article stresses that the associations are at the group level and cannot be used to predict an individual person's future behavior.View evidenceHide evidence

Why this verdict

The modest variance explained by common variants is consistent with caution about individual-level prediction, and the profile discusses polygenic prediction only at a broad group/statistical level. However, the supplied abstract-level paper profile does not state that the findings cannot predict an individual person's future behavior, so this caveat cannot be directly verified from the provided evidence.

1

Study evidence

Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel

“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”
2

Study evidence

Polygenic index analyses show widespread associations between genetic propensity for personality traits and consequential behaviours and life outcomes; the authors describe these associations as potentially causal when considered together with genetic-correlation and Mendelian-randomization results.

“Polygenic prediction ... indicate that personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes”
Claim 4 of 6SupportedA massive genetic study identified genetic variants associated with five major personality traits.View evidenceHide evidence

Why this verdict

The abstract-level profile supports a large GWAS meta-analysis of the Big Five traits and reports lead genetic variants associated with personality. The headline framing is associational rather than deterministic, so it does not outrun the paper evidence.

1

Study evidence

Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel

“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”
Claim 5 of 6SupportedThe study found 1,260 different variants associated with aspects of personality, with 824 in regions not previously linked to the corresponding trait.View evidenceHide evidence

As stated1,260 variants; 824 previously unlinked regions

Why this verdict

The profile states that the study identified 1,260 lead genetic variants associated with personality, including 824 novel variants. The profile does not give full locus-definition details at abstract depth, but the reported counts and novelty claim match the paper summary closely.

1

Study evidence

Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel

“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”
Claim 6 of 6SupportedThe analysis covered the Big Five traits—extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience—with sample sizes ranging from 611,000 to 1.14 million people depending on the trait.View evidenceHide evidence

As stated611,000 to 1.14 million participants

Why this verdict

The paper profile explicitly reports GWAS meta-analyses of extraversion, agreeableness, conscientiousness, neuroticism and openness across 46 cohorts, with sample sizes ranging from 611,037 to 1.14 million participants.

1

Study evidence

Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel

“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”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • Genetic associations were reported as highly consistent but not identical across geography, reporter type, age group, and measurement instrument.

    This robustness and heterogeneity analysis is a primary contribution in the paper profile, but it is not represented in the presented story claims or caveats.

    From Stratified GWAS and cross-stratum heterogeneity/portability analyses (meta-analysis across cohorts)

  • The paper assessed spousal assortment for personality and reported minimal spousal assortment in recent history.

    The presented story does not mention the spousal-assortment analysis.

    From Assortative mating / spousal correlation analysis

  • Within-family GWAS and within-family polygenic-index analyses were used to assess confounding by shared family environment, with within-family GWAS sample size up to 50,725.

    The profile treats this as a primary confounding-assessment contribution. The story notes environmental influences generally, but does not report the within-family design, the smaller within-family sample, or the conclusion of minimal shared-family-environment confounding.

    From Within-family GWAS (family-based association testing); Within-family polygenic index analysis

4 things the story did carry across
  • Large-scale GWAS meta-analysis of the Big Five personality traits across 46 cohorts, with sample sizes of about 611,000 to 1.14 million participants.
  • Identification of 1,260 lead genetic variants associated with personality, including 824 novel variants.
  • Common variants explain a modest share of variance in personality measures, reported as 4.8–9.3% in the primary abstract-level estimate.
  • Downstream analyses used polygenic prediction, genetic correlation, and Mendelian randomization to link personality traits to consequential behaviours and life outcomes, described by the authors as widespread and potentially causal.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

8

Evidence read

study summary

Lead result

secondary data

1Lead resultsecondary dataLarge-scale multi-ancestry meta-analysis GWAS identifies genetic variants associated with Big Five personality traits and estimates SNP-heritability/variance explained.GWAS meta-analysisExpand

In plain English

Meta-analysis of GWAS across 46 cohorts (European-like and African-like genomes; total N per analysis 611,037 to 1.14 million) for the Big Five personality traits identified 1,260 lead genetic variants (824 novel) and estimated that common variants explain ~4.8–9.3% of variance in trait measures (9.3–13.3% for instruments with typical measurement reliability).

Key findings

  • Identification of lead genetic variants associated with Big Five personality traits.1,260 lead variants identified; 824 described as novel
  • Common genetic variants explain a modest proportion of variance in personality trait measures.4.8–9.3% of variance explained by common variants; 9.3–13.3% among instruments with typical measurement reliability
“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”
What this piece can’t prove

2 further details could not be confirmed from the summary.

2secondary dataAssess robustness and generalizability of personality GWAS signals across geography, age, reporter type (self vs other), and measurement instrument; evaluate spousal assortment for personality.Stratified GWAS and cross-stratum heterogeneity/portability analyses (meta-analysis across cohorts)Expand

In plain English

Meta-analysis across 46 cohorts (GWAS sample range 611,037 to 1.14 million participants; including samples described as European-like and African-like) performed stratified/heterogeneity comparisons of genetic associations for the Big Five personality traits across geography, reporter (self vs close other), age group and measurement instrument. The authors report that genetic associations are "highly consistent but not identical" across these strata, find minimal spousal assortment for personality in recent history, and use within-family GWAS (n up to 50,725) to indicate minimal confounding by the shared family environment.

Key findings

  • Genetic associations for the Big Five personality traits are highly consistent but not identical across geography, reporter type (self vs close other), age group and measurement instrument.
  • Minimal spousal assortment for personality in recent history was observed.
“Genetic associations with personality are highly consistent but not identical across geography, reporter (self versus close other), age group and measurement instrument”
What this piece can’t prove

4 further details could not be confirmed from the summary.

3secondary dataAssess robustness and generalizability of personality GWAS signals across geography, age, reporter type (self vs other), and measurement instrument; evaluate spousal assortment for personality.Assortative mating / spousal correlation analysisExpand

In plain English

The authors report that analyses of spouse/partner similarity indicate minimal spousal assortment for personality in recent history.

Key findings

  • Analyses indicate minimal spousal assortment for personality in recent history.
“we find minimal spousal assortment for personality in recent history”
What this piece can’t prove
  • Unclear whether analyses used phenotypic, genetic, or combined measures of similarity, and whether controls for confounders (e.g., socioeconomic status) were applied.

2 further details could not be confirmed from the summary.

4secondary dataTest extent of confounding by shared family environment using within-family GWAS and within-family polygenic index analyses.Within-family GWAS (family-based association testing)Expand

In plain English

The study reports within-family genome-wide association analyses (up to 50,725 participants) and comparison of within-family versus population GWAS estimates to assess the extent to which shared family environment confounds genetic associations with the Big Five personality traits. The authors conclude, based on these within-family GWAS and within-family polygenic index analyses, that genetic associations with personality are minimally confounded by the shared family environment.

Key findings

  • Within-family GWAS (up to 50,725 participants) and within-family polygenic index analyses indicate that genetic associations with personality are minimally confounded by the shared family environment.
“data from up to 50,725 participants for within-family GWAS”
What this piece can’t prove

2 further details could not be confirmed from the summary.

5secondary dataTest extent of confounding by shared family environment using within-family GWAS and within-family polygenic index analyses.Within-family polygenic index analysisExpand

In plain English

The paper reports within-family polygenic index (PGS) analyses that compare between-family versus within-family associations of PGS with Big Five personality traits, finding that genetic associations are minimally confounded by the shared family environment.

Key findings

  • Within-family polygenic index analyses indicate that genetic associations with personality are minimally confounded by the shared family environment.
“within-family GWAS and polygenic index analyses indicate that genetic associations with personality are minimally confounded by the shared family environment”
What this piece can’t prove

2 further details could not be confirmed from the summary.

6secondary dataEvaluate downstream relevance/putative causality: polygenic prediction of outcomes, genetic correlations, and Mendelian randomization linking personality to behaviors and life outcomes.Polygenic prediction / PGS association testingExpand

In plain English

The study used polygenic prediction (polygenic indices) derived from large GWAS of the Big Five personality traits to test associations between genetic propensity for personality and a range of consequential behaviours and life outcomes; the authors report widespread associations and describe them as potentially causal (in conjunction with genetic-correlation and Mendelian-randomization analyses), and note that within-family analyses indicate minimal confounding by shared family environment.

Key findings

  • Polygenic index analyses show widespread associations between genetic propensity for personality traits and consequential behaviours and life outcomes; the authors describe these associations as potentially causal when considered together with genetic-correlation and Mendelian-randomization results.
“Polygenic prediction ... indicate that personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes”
What this piece can’t prove
  • Abstract does not specify the covariates used in PGS–outcome regression models or how ancestry or population structure was handled in downstream prediction analyses.
  • Heterogeneity across geography, reporter, age and instrument reported in the paper may limit transferability of PGS associations to all populations and measurement contexts.

1 further detail could not be confirmed from the summary.

7secondary dataEvaluate downstream relevance/putative causality: polygenic prediction of outcomes, genetic correlations, and Mendelian randomization linking personality to behaviors and life outcomes.Genetic correlation estimation (summary-statistic-based)Expand

In plain English

The study reports genome-wide genetic correlation analyses, using GWAS summary-statistic cross-trait methods, showing that personality traits have widespread genetic associations with a range of consequential behaviours and life outcomes; details on specific outcomes and effect sizes are not provided in the abstract.

Key findings

  • Genetic correlation analyses indicate that personality traits show widespread genetic associations with consequential behaviours and life outcomes.
“Polygenic prediction, genetic correlation and Mendelian randomization analyses indicate that personality traits have widespread, potentially causal associations”
What this piece can’t prove
  • Abstract lacks details on which specific outcomes show genetic correlations and the magnitudes (rg values) of those correlations.
  • Abstract does not specify the exact statistical method(s), parameters, LD reference panel, or procedures used to address sample overlap.

1 further detail could not be confirmed from the summary.

8secondary dataEvaluate downstream relevance/putative causality: polygenic prediction of outcomes, genetic correlations, and Mendelian randomization linking personality to behaviors and life outcomes.Mendelian randomization (abstract-level)Expand

In plain English

Mendelian randomization analyses using GWAS-derived genetic instruments (including polygenic indices) are reported to indicate that Big Five personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes. The abstract does not report specific outcomes, effect sizes, instrument selection criteria, or robustness/sensitivity results.

Key findings

  • Mendelian randomization analyses indicate that personality traits have widespread, potentially causal associations with consequential behaviours and life outcomes.
“Polygenic prediction, genetic correlation and Mendelian randomization analyses indicate that personality traits have widespread, potentially causal associations”
What this piece can’t prove

3 further details could not be confirmed from the summary.

Finally, the search trail

Method layer

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Papers considered

The selected paper, plus nearby candidates.

PubMed, Europe PMC, Crossref · 15 candidate papers

And 9 more candidates considered.