Dataset Information

Candidate locus analysis for PHACE syndrome.

ABSTRACT: PHACE syndrome (OMIM #606519) is a neurocutaneous syndrome of unknown etiology and pathogenesis. We report on an individual with PHACE syndrome with a complete deletion of SLC35B4 on 7q33. In order to further analyze this region, SLC35B4 was sequenced for 33 individuals with PHACE syndrome and one parental set. Common polymorphisms with a possible haplotype but no disease causing mutation were identified. Sixteen of 33 samples of the PHACE syndrome patients were also analyzed for copy number variations using high-resolution oligo-comparative genomic hybridization (CGH) microarray. A second individual in this cohort had a 26.5 kb deletion approximately 80 kb upstream of SLC35B4 with partial deletion of the AKR1B1 on 7q33. The deletions observed on 7q33 are not likely the singular cause of PHACE syndrome; however, it is possible that this region provides a genetic susceptibility to phenotypic expression with other confounding genetic or environmental factors.

SUBMITTER: Mitchell S

PROVIDER: S-EPMC3356486 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Candidate locus analysis for PHACE syndrome.

Mitchell Sheri S Siegel Dawn H DH Shieh Joseph T C JT Stevenson David A DA Grimmer J Fredrik JF Lewis Tracey T Metry Denise D Frieden Ilona I Blei Francine F Kayserili Hulya H Drolet Beth A BA Bayrak-Toydemir Pinar P

American journal of medical genetics. Part A 20120427 6

PHACE syndrome (OMIM #606519) is a neurocutaneous syndrome of unknown etiology and pathogenesis. We report on an individual with PHACE syndrome with a complete deletion of SLC35B4 on 7q33. In order to further analyze this region, SLC35B4 was sequenced for 33 individuals with PHACE syndrome and one parental set. Common polymorphisms with a possible haplotype but no disease causing mutation were identified. Sixteen of 33 samples of the PHACE syndrome patients were also analyzed for copy number var ...[more]

PMID: 22544659

Similar Datasets

Project description:Less than 30% of the cases of Brugada syndrome (BrS) have an identified genetic cause. Of the known BrS-susceptibility genes, loss-of-function mutations in SCN5A or CACNA1C and their auxiliary subunits are most common. On the basis of the recent demonstration that fibroblast growth factor (FGF) homologous factors (FHFs; FGF11-FGF14) regulate cardiac Na(+) and Ca(2+) channel currents, we hypothesized that FHFs are candidate BrS loci.The goal of this study was to test whether FGF12 is a candidate BrS locus.We used quantitative polymerase chain reaction to identify the major FHF expressed in the human ventricle and then queried a phenotype-positive, genotype-negative BrS biorepository for FHF mutations associated with BrS. We queried the effects of an identified mutant with biochemical analyses combined with electrophysiological assessment. We designed a novel rat ventricular cardiomyocyte system in which we swapped the endogenous FHF with the identified mutant and defined its effects on multiple ionic currents in their native milieu and on the cardiac action potential.We identified FGF12 as the major FHF expressed in the human ventricle. In 102 individuals in the biorepository, we identified a single missense mutation in FGF12-B (Q7R-FGF12). The mutant reduced binding to the NaV1.5 C terminus, but not to junctophilin-2. In adult rat cardiac myocytes, Q7R-FGF12, but not wild-type FGF12, reduced Na(+) channel current density and availability without affecting Ca(2+) channel function. Furthermore, the mutant, but not wild-type FGF12, reduced action potential amplitude, which is consistent with a mutant-induced loss of Na(+) channel function.These multilevel investigations strongly suggest that Q7R-FGF12 is a disease-associated BrS mutation. Moreover, these data suggest for the first time that FHF effects on Na(+) and Ca(2+) channels are separable. Most significantly, this study establishes a new method to analyze effects of human arrhythmogenic mutations on cardiac ionic currents.

Dataset Information

Candidate locus analysis for PHACE syndrome.

Publications

Candidate locus analysis for PHACE syndrome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets