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The 2q37-deletion syndrome: an update of the clinical spectrum including overweight, brachydactyly and behavioural features in 14 new patients.

Authors :
Leroy, Camille
Landais, Emilie
Briault, Sylvain
David, Albert
Tassy, Olivier
Gruchy, Nicolas
Delobel, Bruno
Grégoire, Marie-José
Leheup, Bruno
Taine, Laurence
Lacombe, Didier
Delrue, Marie-Ange
Toutain, Annick
Paubel, Agathe
Mugneret, Francine
Thauvin-Robinet, Christel
Arpin, Stéphanie
Le Caignec, Cedric
Jonveaux, Philippe
Beri, Mylène
Source :
European Journal of Human Genetics. Jun2013, Vol. 21 Issue 6, p602-612. 11p. 1 Black and White Photograph, 1 Diagram, 4 Charts, 2 Graphs.
Publication Year :
2013

Abstract

The 2q37 locus is one of the most commonly deleted subtelomeric regions. Such a deletion has been identified in >100 patients by telomeric fluorescence in situ hybridization (FISH) analysis and, less frequently, by array-based comparative genomic hybridization (array-CGH). A recognizable '2q37-deletion syndrome' or Albright's hereditary osteodystrophy-like syndrome has been previously described. To better map the deletion and further refine this deletional syndrome, we formed a collaboration with the Association of French Language Cytogeneticists to collect 14 new intellectually deficient patients with a distal or interstitial 2q37 deletion characterized by FISH and array-CGH. Patients exhibited facial dysmorphism (13/14) and brachydactyly (10/14), associated with behavioural problems, autism or autism spectrum disorders of varying severity and overweight or obesity. The deletions in these 14 new patients measured from 2.6 to 8.8 Mb. Although the major role of HDAC4 has been demonstrated, the phenotypic involvement of several other genes in the deleted regions is unknown. We further refined the genotype-phenotype correlation for the 2q37 deletion. To do this, we examined the smallest overlapping deleted region for candidate genes for skeletal malformations (facial dysmorphism and brachydactyly), overweight, behavioural problems and seizures, using clinical data, a review of the literature, and the Manteia database. Among the candidate genes identified, we focus on the roles of PRLH, PER2, TWIST2, CAPN10, KIF1A, FARP2, D2HGDH and PDCD1. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10184813
Volume :
21
Issue :
6
Database :
Academic Search Index
Journal :
European Journal of Human Genetics
Publication Type :
Academic Journal
Accession number :
87598061
Full Text :
https://doi.org/10.1038/ejhg.2012.230