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Targeted Next-Generation Sequencing in Patients with Suggestive X-Linked Intellectual Disability.

Authors :
Ibarluzea N
Hoz AB
Villate O
Llano I
Ocio I
Martí I
Guitart M
Gabau E
Andrade F
Gener B
Tejada MI
Source :
Genes [Genes (Basel)] 2020 Jan 02; Vol. 11 (1). Date of Electronic Publication: 2020 Jan 02.
Publication Year :
2020

Abstract

X-linked intellectual disability (XLID) is known to contribute up to 10% of intellectual disability (ID) in males and could explain the increased ratio of affected males observed in patients with ID. Over the past decade, next-generation sequencing has clearly stimulated the gene discovery process and has become part of the diagnostic procedure. We have performed targeted next-generation sequencing of 82 XLID genes on 61 non-related male patients with suggestive non-syndromic XLID. These patients were initially referred to the molecular genetics laboratory to exclude Fragile X Syndrome. The cohort includes 47 male patients with suggestive X-linked family history of ID meaning that they had half-brothers or maternal cousins or uncles affected; and 14 male patients with ID and affected brothers whose mothers show skewed X-inactivation. Sequencing data analysis identified 17 candidate variants in 16 patients. Seven families could be re-contacted and variant segregation analysis of the respective eight candidate variants was performed: HUWE1 , IQSEC2 , MAOA , MED12 , PHF8 , SLC6A8 , SLC9A6 , and SYN1 . Our results show the utility of targeted next-generation sequencing in unravelling the genetic origin of XLID, especially in retrospective cases. Variant segregation and additional studies like RNA sequencing and biochemical assays also helped in re-evaluating and further classifying the genetic variants found.<br />Competing Interests: The authors declare no conflict of interest.

Details

Language :
English
ISSN :
2073-4425
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
31906484
Full Text :
https://doi.org/10.3390/genes11010051