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Updated: Nov 19, 2025

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Published on: August 20, 2019
The contribution of X-linked coding variation to severe developmental disorders.
Hilary C Martin1, Eugene J Gardner2, Kaitlin E Samocha2
1Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK. hcm@sanger.ac.uk.
X-linked genes are not the primary cause of higher developmental disorder rates in males. This study found similar rates in males and females, suggesting other factors contribute to the male bias in these disorders.
Area of Science:
- Genetics
- Developmental Biology
- Medical Genetics
Background:
- Over 130 X-linked genes are associated with developmental disorders.
- X-linked genetic causes are hypothesized to explain higher developmental disorder rates in males.
- The contribution of X-linked variation to developmental disorders requires further investigation.
Purpose of the Study:
- To evaluate the burden of X-linked coding variation in a large cohort of developmental disorder patients.
- To determine if X-linked variants account for the male bias in developmental disorder prevalence.
- To refine strategies for detecting X-linked developmental disorders and assess variant pathogenicity.
Main Methods:
- Analysis of X-linked coding variation in 11,044 developmental disorder patients.
- Development of an improved strategy for detecting X-linked developmental disorders.
- Estimation of the pathogenicity of inherited rare missense variants in known developmental disorder-associated genes.
Main Results:
- Similar rates of X-linked causes were found in male (6.0%) and female (6.9%) patients, not explaining the male bias.
- An improved detection strategy identified 23 significant X-linked genes, all previously known.
- Only an estimated 13% of inherited rare missense variants in known X-linked developmental disorder genes are likely pathogenic in male probands.
Conclusions:
- X-linked variants do not explain the higher prevalence of developmental disorders in males.
- The majority of the X-linked genetic burden for developmental disorders resides within known associated genes.
- Statistical analysis of large datasets can enhance understanding of inheritance patterns for X-linked disorders.
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