Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
42272362
TITLE
Unravelling sex differences in the genetic architecture of anxiety.
ABSTRACT
BACKGROUND NlmCategory: BACKGROUND
Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced.
METHODS NlmCategory: METHODS
Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced. Here, 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.
RESULTS NlmCategory: RESULTS
Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced. Here, 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. In 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.
CONCLUSIONS NlmCategory: CONCLUSIONS
Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced. Here, 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. In 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. While 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.
DATE PUBLISHED
2026 Jun 11
HISTORY
PUBSTATUS PUBSTATUSDATE
medline 2026/06/11 12:41
pubmed 2026/06/11 06:38
entrez 2026/06/11 04:13
pmc-release 2026/06/11
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Hu J Hu Jihua J Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Lupton MK Lupton Michelle K MK School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Byrne EM Byrne Enda M EM Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia.
Martin NG Martin Nicholas G NG Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Whiteman DC Whiteman David C DC Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Olsen CM Olsen Catherine M CM Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Thomas JT Thomas Jodi T JT Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Medland SE Medland Sarah E SE School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia.
Grasby KL Grasby Katrina L KL School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Mitchell BL Mitchell Brittany L BL School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
INVESTIGATORS
JOURNAL
VOLUME: 56
ISSUE:
TITLE: Psychological medicine
ISOABBREVIATION: Psychol Med
YEAR: 2026
MONTH: Jun
DAY: 11
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1469-8978
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Psychol Med
COUNTRY: England
ISSNLINKING: 0033-2917
NLMUNIQUEID: 1254142
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Meta-Analysis
COMMENTS AND CORRECTIONS
GRANTS
GRANTID AGENCY COUNTRY
APP2017176 National Health and Medical Research Council
APP1173025 National Health and Medical Research Council
APP1172917 National Health and Medical Research Council
APP2025674 National Health and Medical Research Council
APP2026567 National Health and Medical Research Council
1198304 National Health and Medical Research Council
GENERAL NOTE
KEYWORDS
KEYWORD
anxiety
genetics
genome-wide association study
polygenic risk scores
sex differences
sex-linked
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Female
Humans
Male
Anxiety genetics
Anxiety Disorders epidemiology
Attention Deficit Disorder with Hyperactivity genetics
Genetic Risk Score genetics
Genome-Wide Association Study genetics
Multifactorial Inheritance genetics
Polymorphism, Single Nucleotide genetics
Sex Characteristics genetics
Sex Factors genetics
United Kingdom epidemiology
United States epidemiology
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's