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

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 a...

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Published inGenes Vol. 11; no. 1; p. 51
Main Authors Ibarluzea, Nekane, Hoz, Ana Belén de la, Villate, Olatz, Llano, Isabel, Ocio, Intzane, Martí, Itxaso, Guitart, Miriam, Gabau, Elisabeth, Andrade, Fernando, Gener, Blanca, Tejada, María-Isabel
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 02.01.2020
MDPI
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Summary: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: , , , , , , and . 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.
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ISSN:2073-4425
2073-4425
DOI:10.3390/genes11010051