Evidence map›Paper›PMID 42272362›Full record

SynthesisPsychological medicine2026

Unravelling sex differences in the genetic architecture of anxiety.

Jihua Hu, Michelle K Lupton, Enda M Byrne, Nicholas G Martin, David C Whiteman, Catherine M Olsen, Jodi T Thomas, Sarah E Medland, Katrina L Grasby, Brittany L Mitchell

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Sex differences in LDL-C genetic architecture and statin efficacy in All of Us.medRxiv : the preprint server for health sciences · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jihua HuSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-4919-0450
Michelle K LuptonSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-7274-7299
Enda M ByrneChild Health Research Centre, University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-9491-7797
Nicholas G MartinBrain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
David C WhitemanSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-2563-9559
Catherine M OlsenSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-4483-1888
Jodi T ThomasSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-7622-4479
Sarah E MedlandSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.
Katrina L GrasbySchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0001-8539-0228
Brittany L MitchellSchool of Biomedical Sciences, https://ror.org/00rqy9422The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-9050-1516

Funding

National Health and Medical Research Council 1198304National Health and Medical Research Council APP1172917National Health and Medical Research Council APP1173025National Health and Medical Research Council APP2017176National Health and Medical Research Council APP2025674National Health and Medical Research Council APP2026567
6 · The paper itself

Abstract

backgroundAnxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced.

methodsHere, we report the first sex-specific meta-analysis of genome-wide association studies (GWAS) of anxiety, leveraging two of the largest biobank datasets, UK Biobank and All of Us, comprising 85,042 female cases with 196,789 controls and 36,732 male cases with 136,924 controls. Functional annotation, sex-specific polygenic scores (PGS), and genetic correlations were performed to assess genetic differences and functional implications.

resultsIn females, 21 lead SNPs were significantly associated with anxiety, compared to five in males. Although the genetic correlation between sexes was high, it was significantly different from one, indicating partially distinct genetic architectures. In addition, both the SNP-based observed and liability-scale heritabilities (assuming a 2:1 female-to-male prevalence ratio) were significantly higher in females. Gene-based tests and functional prioritization identified different genes associated with anxiety in females and males. Moreover, genetic correlation analyses revealed stronger associations of female anxiety with attention-deficit/hyperactivity disorder (ADHD) and body mass index (BMI), whereas male anxiety showed stronger correlations with waist-hip-ratio-adjusted BMI.

conclusionsWhile the overall genetic architecture of anxiety is largely shared, our findings reveal distinct sex-specific genetic associations and correlations, highlighting the value of analyzing the sexes separately to uncover genetic signals that may be masked in sex-combined samples.

Indexed as

AnxietyAnxiety DisordersSex CharacteristicsAttention Deficit Disorder with HyperactivityFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansMaleMultifactorial InheritancePolymorphism, Single NucleotideSex FactorsUnited KingdomUnited Statesanxietygeneticsgenome-wide association studypolygenic risk scoressex differencessex-linked

Identifiers

PMID42272362
PMCPMC13280693

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.