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

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...

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Autores principales: Martin, Hilary C., Gardner, Eugene J., Samocha, Kaitlin E., Kaplanis, Joanna, Akawi, Nadia, Sifrim, Alejandro, Eberhardt, Ruth Y., Tavares, Ana Lisa Taylor, Neville, Matthew D. C., Niemi, Mari E. K., Gallone, Giuseppe, McRae, Jeremy, Wright, Caroline F., FitzPatrick, David R., Firth, Helen V., Hurles, Matthew E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840967/
https://www.ncbi.nlm.nih.gov/pubmed/33504798
http://dx.doi.org/10.1038/s41467-020-20852-3
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author Martin, Hilary C.
Gardner, Eugene J.
Samocha, Kaitlin E.
Kaplanis, Joanna
Akawi, Nadia
Sifrim, Alejandro
Eberhardt, Ruth Y.
Tavares, Ana Lisa Taylor
Neville, Matthew D. C.
Niemi, Mari E. K.
Gallone, Giuseppe
McRae, Jeremy
Wright, Caroline F.
FitzPatrick, David R.
Firth, Helen V.
Hurles, Matthew E.
author_facet Martin, Hilary C.
Gardner, Eugene J.
Samocha, Kaitlin E.
Kaplanis, Joanna
Akawi, Nadia
Sifrim, Alejandro
Eberhardt, Ruth Y.
Tavares, Ana Lisa Taylor
Neville, Matthew D. C.
Niemi, Mari E. K.
Gallone, Giuseppe
McRae, Jeremy
Wright, Caroline F.
FitzPatrick, David R.
Firth, Helen V.
Hurles, Matthew E.
author_sort Martin, Hilary C.
collection PubMed
description 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.
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spelling pubmed-78409672021-02-08 The contribution of X-linked coding variation to severe developmental disorders Martin, Hilary C. Gardner, Eugene J. Samocha, Kaitlin E. Kaplanis, Joanna Akawi, Nadia Sifrim, Alejandro Eberhardt, Ruth Y. Tavares, Ana Lisa Taylor Neville, Matthew D. C. Niemi, Mari E. K. Gallone, Giuseppe McRae, Jeremy Wright, Caroline F. FitzPatrick, David R. Firth, Helen V. Hurles, Matthew E. Nat Commun Article 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. Nature Publishing Group UK 2021-01-27 /pmc/articles/PMC7840967/ /pubmed/33504798 http://dx.doi.org/10.1038/s41467-020-20852-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Martin, Hilary C.
Gardner, Eugene J.
Samocha, Kaitlin E.
Kaplanis, Joanna
Akawi, Nadia
Sifrim, Alejandro
Eberhardt, Ruth Y.
Tavares, Ana Lisa Taylor
Neville, Matthew D. C.
Niemi, Mari E. K.
Gallone, Giuseppe
McRae, Jeremy
Wright, Caroline F.
FitzPatrick, David R.
Firth, Helen V.
Hurles, Matthew E.
The contribution of X-linked coding variation to severe developmental disorders
title The contribution of X-linked coding variation to severe developmental disorders
title_full The contribution of X-linked coding variation to severe developmental disorders
title_fullStr The contribution of X-linked coding variation to severe developmental disorders
title_full_unstemmed The contribution of X-linked coding variation to severe developmental disorders
title_short The contribution of X-linked coding variation to severe developmental disorders
title_sort contribution of x-linked coding variation to severe developmental disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840967/
https://www.ncbi.nlm.nih.gov/pubmed/33504798
http://dx.doi.org/10.1038/s41467-020-20852-3
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