| Literature DB >> 33504798 |
Hilary C Martin1, Eugene J Gardner2, Kaitlin E Samocha2, Joanna Kaplanis2, Nadia Akawi2,3, Alejandro Sifrim2,4, Ruth Y Eberhardt2, Ana Lisa Taylor Tavares2,5,6, Matthew D C Neville2, Mari E K Niemi2,7, Giuseppe Gallone2,8, Jeremy McRae2,9, Caroline F Wright10, David R FitzPatrick11, Helen V Firth2,5, Matthew E Hurles2.
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.Entities:
Mesh:
Year: 2021 PMID: 33504798 PMCID: PMC7840967 DOI: 10.1038/s41467-020-20852-3
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919