Clinically diverse phenotypes and genotypes of patients with branchio-oto-renal syndrome View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-05

AUTHORS

Ai Unzaki, Naoya Morisada, Kandai Nozu, Ming Juan Ye, Shuichi Ito, Tatsuo Matsunaga, Kenji Ishikura, Shihomi Ina, Koji Nagatani, Takayuki Okamoto, Yuji Inaba, Naoko Ito, Toru Igarashi, Shoichiro Kanda, Ken Ito, Kohei Omune, Takuma Iwaki, Kazuyuki Ueno, Mayumi Yahata, Yasufumi Ohtsuka, Eriko Nishi, Nobuya Takahashi, Tomoaki Ishikawa, Shunsuke Goto, Nobuhiko Okamoto, Kazumoto Iijima

ABSTRACT

Branchio-oto-renal (BOR) syndrome is a rare autosomal dominant disorder characterized by branchiogenic anomalies, hearing loss, and renal anomalies. The aim of this study was to reveal the clinical phenotypes and their causative genes in Japanese BOR patients. Patients clinically diagnosed with BOR syndrome were analyzed by direct sequencing, multiplex ligation-dependent probe amplification (MLPA), array-based comparative genomic hybridization (aCGH), and next-generation sequencing (NGS). We identified the causative genes in 38/51 patients from 26/36 families; EYA1 aberrations were identified in 22 families, SALL1 mutations were identified in two families, and SIX1 mutations and a 22q partial tetrasomy were identified in one family each. All patients identified with causative genes suffered from hearing loss. Second branchial arch anomalies, including a cervical fistula or cyst, preauricular pits, and renal anomalies, were frequently identified (>60%) in patients with EYA1 aberrations. Renal hypodysplasia or unknown-cause renal insufficiency was identified in more than half of patients with EYA1 aberrations. Even within the same family, renal phenotypes often varied substantially. In addition to direct sequencing, MLPA and NGS were useful for the genetic analysis of BOR patients. More... »

PAGES

647-656

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s10038-018-0429-8

DOI

http://dx.doi.org/10.1038/s10038-018-0429-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101317230

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29500469


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