The contribution of X-linked coding variation to severe developmental disorders
Hilary C. MartiniD, Eugene J. GardneriD, Kaitlin E. SamochaiD, Joanna KaplanisiD, Nadia A. AkawiiD, Alejandro SifrimiD, Ruth Y. EberhardtiD, Ana Lisa Taylor TavaresiD, Matthew D. C. NevilleiD, Mari NiemiiD, Giuseppe GalloneiD, Jeremy F. McRaeiD, Deciphering Developmental Disorders Study, Silvia Borras, Caroline ClarkiD, John DeaniD, Zosia MiedzybrodzkaiD, Alison Ross, Stephen Tennant, Tabib A. Dabir, Deirdre Donnelly, Mervyn W. Humphreys, Alex C. Magee, Vivienne P. M. McConnell, Shane A McKeeiD, , Therese Bradley
Abstract
Over 130 X-linked genes have been robustly associated with developmental disorders (DDs), and X-linked causes have been hypothesised to underlie the higher DD rates in males. We evaluated the burden of X-linked coding variation in 11,046 DD patients, and found 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 developed an improved strategy to detect novel X-linked DDs and identified 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 DD-associated genes. Importantly, we estimated that, in male probands, only 13% of inherited rare missense variants in known DD-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.
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