Comprehensive SNP-chip for retinitis pigmentosa-Leber congenital amaurosis diagnosis: new mutations and detection of mutational founder effects.


Por: Pomares E, Riera M, Permanyer J, Méndez P, Castro-Navarro J, Andrés-Gutiérrez A, Marfany G and Gonzalez R

Publicada: 1 ene 2010
Resumen:
Fast and efficient high-throughput techniques are essential for the molecular diagnosis of highly heterogeneous hereditary diseases, such as retinitis pigmentosa (RP). We had previously approached RP genetic testing by devising a chip based on co-segregation analysis for the autosomal recessive forms. In this study, we aimed to design a diagnostic tool for all the known genes (40 up to now) responsible for the autosomal dominant and recessive RP and Leber congenital amaurosis (LCA). This new chip analyzes 240 single nucleotide polymorphisms (SNPs) (6 per gene) on a high-throughput genotyping platform (SNPlex, Applied Biosystems), and genetic diagnosis is based on the co-segregation analysis of SNP haplotypes in independent families. In a single genotyping step, the number of RP candidates to be screened for mutations is considerably reduced, and in the most informative families, all the candidates are ruled out at once. In a panel of RP Spanish pedigrees, the disease chip became a crucial tool for selecting those suitable for genome-wide RP gene search, and saved the burdensome direct mutational screening of every known RP gene. In a large adRP family, the chip allowed ruling out of all but the causative gene, and identification of an unreported null mutation (E181X) in PRPF31. Finally, on the basis of the conservation of the SNP haplotype linked to this pathogenic variant, we propose that the E181X mutation spread through a cohort of geographically isolated families by a founder effect.
ISSN: 10184813





EUROPEAN JOURNAL OF HUMAN GENETICS
Editorial
NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 18 Número: 1
Páginas: 118-124
WOS Id: 000272609900022
ID de PubMed: 19584904

MÉTRICAS