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Nature Research, Nature Communications, 1(12), 2021

DOI: 10.1038/s41467-020-20852-3

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The contribution of X-linked coding variation to severe developmental disorders

Journal article published in 2021 by Hilary C. Martin, Silvia Borras, Caroline Clark, Eugene J. Gardner, John Dean, Zosia Miedzybrodzka, Alison Ross, Stephen Tennant, Tabib Dabir, Kaitlin E. Samocha ORCID, Deirdre Donnelly, Mervyn Humphreys, Alex Magee, Vivienne McConnell, Shane McKee and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

AbstractOver 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders.