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

Title: The contribution of X-linked coding variation to severe developmental disorders.
Authors: Martin, Hilary C; Gardner, Eugene J; Samocha, Kaitlin E; Kaplanis, Joanna; Akawi, Nadia; Sifrim, Alejandro; Eberhardt, Ruth Y; Tavares, Ana Lisa Taylor; Neville, Matthew DC; Niemi, Mari EK; Gallone, Giuseppe; McRae, Jeremy; Deciphering Developmental Disorders Study; Wright, Caroline F; FitzPatrick, David R; Firth, Helen V; Hurles, Matthew E
Publisher Information: Springer Nature; //doi.org/10.1038/s41467-020-20852-3
Publication Year: 2021
Collection: Apollo - University of Cambridge Repository
Subject Terms: Chromosomes; Human; Developmental Disabilities; Female; Genes; Recessive; X-Linked; Genetic Diseases; Genetic Variation; Humans; Inheritance Patterns; Male; Multifactorial Inheritance; Mutation; Phenotype; Sex Characteristics
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.
Document Type: article in journal/newspaper
File Description: Electronic; application/pdf
Language: English
Relation: https://www.repository.cam.ac.uk/handle/1810/318196
DOI: 10.17863/CAM.65313
Availability: https://www.repository.cam.ac.uk/handle/1810/318196; https://doi.org/10.17863/CAM.65313
Rights: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.1A8ECC7D
Database: BASE