Grozeva, D., Carss, K., Spasic-Boskovic, O. et al. (23 more authors) (2015) Targeted Next-Generation Sequencing Analysis of 1,000 Individuals with Intellectual Disability. Human Mutation, 36 (12). pp. 1197-1204. ISSN 1059-7794
Abstract
To identify genetic causes of intellectual disability (ID), we screened a cohort of 986 individuals with moderate to severe ID for variants in 565 known or candidate ID‐associated genes using targeted next‐generation sequencing. Likely pathogenic rare variants were found in ∼11% of the cases (113 variants in 107/986 individuals: ∼8% of the individuals had a likely pathogenic loss‐of‐function [LoF] variant, whereas ∼3% had a known pathogenic missense variant). Variants in SETD5, ATRX, CUL4B, MECP2, and ARID1B were the most common causes of ID. This study assessed the value of sequencing a cohort of probands to provide a molecular diagnosis of ID, without the availability of DNA from both parents for de novo sequence analysis. This modeling is clinically relevant as 28% of all UK families with dependent children are single parent households. In conclusion, to diagnose patients with ID in the absence of parental DNA, we recommend investigation of all LoF variants in known genes that cause ID and assessment of a limited list of proven pathogenic missense variants in these genes. This will provide 11% additional diagnostic yield beyond the 10%–15% yield from array CGH alone.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Authors. ** Human Mutation published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | intellectual disability; next-generation sequencing; Mendelian disease; developmental delay |
Dates: |
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Institution: | The University of Sheffield |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Aug 2018 10:24 |
Last Modified: | 24 Aug 2018 10:24 |
Published Version: | https://doi.org/10.1002/humu.22901 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/humu.22901 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134795 |