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PubMed 25489231


Referenced in Channelpedia wiki pages of: none

Automatically associated channels: Kir2.3



Title: Screening for BEST1 gene mutations in Chinese patients with bestrophinopathy.

Authors: Rong Tian, Guoxing Yang, Jing Wang, Youxin Chen

Journal, date & volume: Mol. Vis., 2014 , 20, 1594-604

PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/25489231


Abstract
The purpose of this study was to analyze BEST1 gene mutations in Chinese patients with bestrophinopathy and to describe the clinical features of these patients.Thirteen patients from 12 unrelated Chinese families affected by bestrophinopathy were recruited and clinically evaluated with best-corrected visual acuity examination, slit-lamp biomicroscopy, fundus examination and photography, optical coherence tomography, fundus autofluorescence, electro-oculography, and electroretinography. Blood samples were collected for DNA extraction. Mutation analysis was performed by direct sequencing of the BEST1 gene. One hundred control chromosomes were also screened to exclude nonpathogenic polymorphisms.Seven patients showed clinical pictures of Best vitelliform macular dystrophy (BVMD) and harbored heterozygous mutations compatible with autosomal dominant inheritance. Two novel mutations (p.T4I and p.A291V) and three reported mutations (p.R218C, p.Q293H, and p.D301G) were identified. Six patients carried BEST1 mutations on both alleles compatible with autosomal recessive inheritance. Compound heterozygous mutations were detected in four patients who presented a BVMD phenotype, while homozygous mutations were detected in two patients with autosomal recessive bestrophinopathy. Mutation analysis revealed eight mutations. Four (p.Y33H, p.R130L, p.M163R, and c.519delA) were novel, and four (p.R13H, p.A195V, p.R255W, and p.W287*) had previously been reported.Patients with biallelic BEST1 mutations were common among Chinese patients with bestrophinopathy, and the phenotypes varied. The features and combinations of different BEST1 mutations as well as epistatic effects may influence phenotype expression. Our results expand the BEST1 mutation spectrum.