Mitigating Sex-Related Biases to Elucidate the Autism Phenotype.
Burrows Catherine A, Elison Jed T, Piven Joseph
What this study means for families
This review suggests autism may affect boys and girls more equally than previously thought. Current research shows 3-4 boys diagnosed for every girl, but this may be because diagnostic tools and criteria are better at identifying autism in boys. When researchers studied children at high risk for autism from birth and used different methods, they found the ratio was closer to 1:1. This means many girls with autism may be missed by current approaches.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Research summary
This review challenges conventional understanding of autism's sex ratio, proposing it may be closer to 1:1 rather than 3-4:1 male-dominant. The authors argue that traditional diagnostic criteria and research methods contain sex-based biases that systematically underidentify females with autism. Using prospectively identified samples of children at high familial likelihood for autism, they found evidence suggesting more equal representation when correcting for measurement bias. The review proposes focusing on the 'autism phenotype' - the behavioral expression of genetic variation in autism-relevant traits - through improved sample ascertainment, methodological rigor, and broader trait examination to better understand the full expression of genetic liability for autism.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Key findings
- 1
Traditional male:female autism ratio of 3-4:1 may be artificially inflated due to sex-based diagnostic biases
Confidence: moderateRelevance: Challenges fundamental understanding of autism prevalence and suggests systematic underidentification of females - 2
Prospective studies of high-risk children suggest autism ratio may be closer to 1:1
Confidence: limitedRelevance: Indicates need for revised diagnostic approaches and criteria to improve female identification - 3
Current diagnostic criteria may contain male-biased measurement approaches
Confidence: moderateRelevance: Suggests need for sex-sensitive diagnostic tools and assessment methods
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Clinical implications
Clinicians should be aware of potential sex-based diagnostic biases and consider autism in females who may not present with typical male-pattern symptoms. Early identification approaches may need revision to capture female presentations. Diagnostic criteria and assessment tools may require updating to reduce sex-based measurement bias.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Limitations
This is a review paper presenting a perspective rather than original empirical data. The claims about 1:1 ratio are based on limited prospective studies. No specific sample sizes or detailed methodological information provided for supporting studies.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Original abstract
Autism spectrum disorder (ASD) is commonly considered a male-dominant condition, with epidemiological estimates finding that approximately 3 to 4 males are diagnosed for every female. An overwhelming majority of the studies used to establish this sex ratio were conducted with participants ascertained based on having first met clinical criteria, which may obscure qualitative differences between males and females and omits females who do not meet male-biased criteria. Our recently published data, which used a prospectively identified sample of children at high familial likelihood for ASD, corrected for sex-based measurement bias, and used data-driven groupings of behavior over time, were well suited to address this issue and suggest that the male:female ratio of autism-related concerns is closer to 1:1. In this review, we propose that research is needed that characterizes the autism phenotype, or behavioral expression of underlying genetic variation in autism-relevant traits.
We describe shifts in sample ascertainment, methodological rigor, and the scope of traits examined that may help elucidate the autism phenotype. A research program that focuses on delineating the genetically related, biological determinants of clinical disorders has the potential to reveal the full expression of underlying genetic liability for ASD and improve early identification of ASD-related concerns in females.
Evidence Grade
emerging
Grade assigned by AutismInsights based on study type and published abstract.
Study Details
- Type
- Review
- Journal
- Biological psychiatry
- Year
- 2026
- PMID
- 40653186
- DOI
- 10.1016/j.biopsych.2025.06.035
MeSH Terms