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

Hilary C. Martin*, Eugene J. Gardner, Kaitlin E. Samocha, Joanna Kaplanis, Nadia Akawi, Alejandro Sifrim, Ruth Y. Eberhardt, Ana Lisa Taylor Tavares, Matthew D.C. Neville, Mari E.K. Niemi, Giuseppe Gallone, Jeremy McRae, Silvia Borras, Caroline Clark, John Dean, Zosia Miedzybrodzka, Alison Ross, Stephen Tennant, Tabib Dabir, Deirdre DonnellyMervyn Humphreys, Alex Magee, Vivienne McConnell, Shane McKee, Susan McNerlan, Patrick J. Morrison, Gillian Rea, Fiona Stewart, Trevor Cole, Nicola Cooper, Lisa Cooper-Charles, Helen Cox, Lily Islam, Joanna Jarvis, Rebecca Keelagher, Derek Lim, Dominic McMullan, Jenny Morton, Swati Naik, Mary O’Driscoll, Kai Ren Ong, Deborah Osio, Nicola Ragge, Julie Vogt, Denise Williams, Simon Bodek, Alan Donaldson, Alison Hills, K Low, R Newbury-Ecob, AM Norman, E Roberts, I Scurr, S Smithson, M Tooley, S Abbs, R Armstrong, C Dunn, S Holden, S-M Park, J Paterson, L Raymond, E Reid, R Sandford, I Simonic, M Tischkowitz, G Woods, L Bradley, J Comerford, A Green, S Lynch, S McQuaid, B Mullaney, J Berg, D Goudie, E Mavrak, J McLean, C McWilliam, E Reavey, T Azam, S Turton, E Cleary, A Jackson, W Lam, A Lampe, D Moore, M Porteous, E Baple, Júlia Baptista, C Brewer, B Castle, E Kivuva, M Owens, J Rankin, C Shaw-Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

<jats:title>Abstract</jats:title><jats:p>Over 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.</jats:p>
Original languageEnglish
Number of pages0
JournalNature Communications
Volume12
Issue number1
DOIs
Publication statusE-pub ahead of print - 27 Jan 2021

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