Mutation analysis of 3 genes in patients with Leber congenital amaurosis

Lotery, Andrew J., Namperumalsamy, P., Jacobson, Samuel G., Weleber, Richard G., Fishman, Gerald A., Musarella, Maria A., Hoyt, Creig S., Héon, Elise, Levin, Alex, Jan, James, Lam, Byron, Carr, Ronald E., Franklin, Alan, Radha, S., Andorf, Jeaneen L., Sheffield, Val C. and Stone, Edwin M. (2000) Mutation analysis of 3 genes in patients with Leber congenital amaurosis. Archives of Ophthalmology, 118 (4), 538-543. (doi:10.1001/archopht.118.4.538). (PMID:10766140)

Abstract

OBJECTIVE: To assess the frequency of mutations in the CRX, GUCY2D, and RPE65 genes in patients with Leber congenital amaurosis (LCA).

PATIENTS: One hundred seventy-six probands with a clinical diagnosis of LCA were from 9 countries, with the largest subgroup being 39 probands from India.

METHODS: Samples were screened with single-strand conformation polymorphism analysis followed by DNA sequencing of 3 genes (CRX, GUCY2D, and RPE65) known to be associated with LCA.

RESULTS: Of the 176 probands, 28 (15.9%) harbored possible disease-causing mutations. The relative contribution of each gene to the total number of mutations was as follows: CRX, 2.8%; GUCY2D, 6.3%; and RPE65, 6.8%. No patients who harbored mutations in these genes had associated systemic abnormalities. Molecular diagnosis allowed definitive genetic counseling in a family affected with Best disease and LCA.

CONCLUSIONS: Molecular diagnosis may be of benefit to patients affected with LCA. The relative paucity of mutations found in this study suggests that more LCA-associated genes remain to be discovered.

CLINICAL RELEVANCE: Molecular diagnosis can confirm and clarify the diagnosis of LCA. As genotype data accumulate, clinical phenotypes associated with specific mutations will be established. This will facilitate the counseling of patients on their visual prognosis and the likelihood of associated systemic anomalies.

This record has no associated files available for download.

Contributors

Author: Andrew J. Lotery

Download statistics