Deciphering Dev Disorders , Martin , H C , Gardner , E J , Samocha , K E , Niemi , M E K & Hurles , M E 2021 , ' The contribution of X-linked coding variation to severe developmental disorders ' , Nature Communications , vol. 12 , no. 1 , 627 . https://doi.org/10.1038/s41467-020-20852-3
Title: | The contribution of X-linked coding variation to severe developmental disorders |
Author: | Deciphering Dev Disorders; Martin, Hilary C.; Gardner, Eugene J.; Samocha, Kaitlin E.; Niemi, Mari E. K.; Hurles, Matthew E. |
Contributor organization: | Data Science Genetic Epidemiology Lab Institute for Molecular Medicine Finland University of Helsinki |
Date: | 2021-01-27 |
Language: | eng |
Number of pages: | 13 |
Belongs to series: | Nature Communications |
ISSN: | 2041-1723 |
DOI: | https://doi.org/10.1038/s41467-020-20852-3 |
URI: | http://hdl.handle.net/10138/330490 |
Abstract: | 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. Developmental disorders (DDs) are more prevalent in males, thought to be due to X-linked genetic variation. Here, the authors investigate the burden of X-linked coding variants in 11,044 DD patients, showing that this contributes to similar to 6% of both male and female cases and therefore does not solely explain male bias in DDs. |
Subject: |
MENTAL-RETARDATION
NOVO MUTATIONS GENES IDENTIFICATION INDIVIDUALS DISCOVERY FRAMEWORK VARIANTS TRAITS 1184 Genetics, developmental biology, physiology 3111 Biomedicine |
Peer reviewed: | Yes |
Rights: | cc_by |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
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