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Targeted Next‐Generation Sequencing Analysis of 1,000 Individuals with Intellectual Disability

Authors :
Shoumo Bhattacharya
Olivera Spasic-Boskovic
Charles E. Schwartz
Catherine Cosgrove
Kathryn Friend
Keren J. Carss
F. Lucy Raymond
Roger E. Stevenson
Anna Hackett
Eric Haan
Zaamin B. Hussain
Matthew E. Hurles
Michael Field
Detelina Grozeva
James A B Floyd
Jozef Gecz
Maria-Isabel Tejada
Jamie Bentham
Mark A. Corbett
Bernard Keavney
Elizabeth Thompson
Marie Shaw
Alessandra Renieri
Cambridge Institute for Medical Research (CIMR)
University of Cambridge [UK] (CAM)
Department of Haematology
Hospital Universitario Cruces = Cruces University Hospital
University of Adelaide
Women’s and Children’s Hospital [Adelaide]
Università degli Studi di Siena = University of Siena (UNISI)
The Greenwood Genetic Center
Grozeva, Detelina
Carss, Keren
Spasic Boskovic, Olivera
Tejada, Maria Isabel
Gecz, Jozef
Shaw, Marie
Corbett, Mark
Haan, Eric
Thompson, Elizabeth
Friend, Kathryn
Hussain, Zaamin
Hackett, Anna
Field, Michael
Renieri, Alessandra
Stevenson, Roger
Schwartz, Charle
Floyd, James A. B.
Bentham, Jamie
Cosgrove, Catherine
Keavney, Bernard
Bhattacharya, Shoumo
Hurles, Matthew
Raymond, F. Lucy
Franco, Brunella
Source :
Human Mutation, Human Mutation, Wiley, 2015, 36 (12), pp.1197-1204. ⟨10.1002/humu.22901⟩
Publication Year :
2015
Publisher :
Hindawi Limited, 2015.

Abstract

International audience; 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 ß11% of the cases (113 variants in 107/986 individuals: ß8% of the individuals had a likely pathogenic loss-of-function [LoF] variant, whereas ß3% 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.

Details

ISSN :
10981004 and 10597794
Volume :
36
Database :
OpenAIRE
Journal :
Human Mutation
Accession number :
edsair.doi.dedup.....c7118f91629697da314e580da17eeaef
Full Text :
https://doi.org/10.1002/humu.22901