Can the “female protective effect” liability threshold model explain sex differences in autism spectrum disorder?
Male sex is a strong risk factor for autism spectrum disorder (ASD). The leading theory for a “female protective effect” (FPE) envisions males and females have “differing thresholds” under a “liability threshold model” (DT-LTM). Specifically, this model posits that females require either a greater n...
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Published in: | Neuron (Cambridge, Mass.) Vol. 110; no. 20; pp. 3243 - 3262 |
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Main Authors: | , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Inc
19-10-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | Male sex is a strong risk factor for autism spectrum disorder (ASD). The leading theory for a “female protective effect” (FPE) envisions males and females have “differing thresholds” under a “liability threshold model” (DT-LTM). Specifically, this model posits that females require either a greater number or larger magnitude of risk factors (i.e., greater liability) to manifest ASD, which is supported by the finding that a greater proportion of females with ASD have highly penetrant genetic mutations. Herein, we derive testable hypotheses from the DT-LTM for ASD, investigating heritability, familial recurrence, correlation between ASD penetrance and sex ratio, population traits, clinical features, the stability of the sex ratio across diagnostic changes, and highlight other key prerequisites. Our findings reveal that several key predictions of the DT-LTM are not supported by current data, requiring us to establish a different conceptual framework for evaluating alternate models that explain sex differences in ASD.
Approximately 4 times more males than females are diagnosed with autism. This comprehensive review of the evidence highlights key weaknesses in the dominant model used to explain this difference and raises the possibility of alternative explanations for the phenomenon. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
ISSN: | 0896-6273 1097-4199 1097-4199 |
DOI: | 10.1016/j.neuron.2022.06.020 |