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Sex-specific analysis of anxiety GWAS data identifies 21 lead SNPs in females versus 5 in malesAnxiety Genetics Differ Between Women and Men in Large Study

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Key Takeaway
Note that sex-specific GWAS analysis identifies more lead SNPs for anxiety in females than in males.

This meta-analysis synthesizes genome-wide association study (GWAS) data from the UK Biobank and All of Us datasets to investigate the genetic architecture of anxiety disorders. The analysis specifically focuses on identifying sex-specific genetic associations, highlighting that analyzing sexes separately can uncover distinct signals often masked in combined samples.

The synthesis identifies 21 lead SNPs associated with anxiety in females compared to only 5 lead SNPs identified in males. Furthermore, both SNP-based and liability-scale heritabilities were found to be significantly higher in females. The study also noted that female anxiety showed stronger genetic correlations with ADHD and BMI, while male anxiety showed stronger correlations with waist-hip-ratio-adjusted BMI.

A key finding is the high but significantly different genetic correlation between sexes, indicating partially distinct genetic architectures. While the results highlight the importance of sex-specific analysis in psychiatric genetics, they are based on GWAS data and do not establish direct causes of symptoms. These findings suggest that sex-specific genomic insights may be necessary for a more nuanced understanding of anxiety's genetic basis.

How this fits prior evidence

This meta-analysis addresses a gap in the understanding of the genetic architecture of anxiety by highlighting how sex-specific analysis reveals signals masked in combined samples. While previous coverage noted that NRXN1 genetic variations are associated with neuropsychiatric disorders, this study provides specific evidence regarding the distinct genetic correlations between anxiety and ADHD across different sexes.

A new meta-analysis of genetic data from over 220,000 people in the UK Biobank and All of Us datasets reveals that the genetic architecture of anxiety differs between females and males. Researchers identified 21 genetic variants linked to anxiety in females, but only 5 in males, suggesting that anxiety may have a stronger genetic component in women.

The study also found that the heritability of anxiety—how much of the risk is due to genetics—was significantly higher in females than in males. While the genetic factors for anxiety were largely similar between sexes, they were not identical, indicating some sex-specific genetic influences.

Additionally, the genetic links between anxiety and other traits like ADHD and BMI were stronger in females, while male anxiety showed stronger genetic correlations with waist-hip-ratio-adjusted BMI. These findings highlight the importance of studying males and females separately to uncover genetic signals that might be missed when combining them.

This research does not prove that genetics directly cause anxiety, but it provides clues about biological differences that could lead to better understanding and treatment. Future studies may explore how these genetic differences translate into different symptoms or treatment responses between sexes.

What this means for you:
Anxiety has different genetic underpinnings in women and men, with more genetic variants found in women.

Common questions

What did the study find about gender differences?

The study found that there are more lead SNPs, or genetic markers, associated with anxiety in females than in males. Specifically, 21 lead SNPs were identified for women while only 5 were identified for men. While both sexes share many genetic traits, these results show that the genetic landscape of anxiety is partially distinct between men and women.

Are there links between anxiety and other conditions?

The study found different correlations based on sex. For females, there were stronger genetic associations between anxiety and ADHD as well as BMI. For males, the study found stronger genetic correlations between anxiety and a specific measure of body mass known as waist-hip-ratio-adjusted BMI.

Does this mean these genes cause anxiety?

No, this study identifies genetic associations rather than direct causes. Because it was an analysis of genetic data from large databases and not a clinical trial, the results show how genetics relate to anxiety but do not prove that specific genes cause symptoms. You should speak with a doctor for medical advice.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
BACKGROUND: Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced. METHODS: 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: 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: 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.
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