サイトウ　カヨコ   Saito Kayoko   齋藤　加代子    所属   医学部 医学科（東京女子医科大学病院）    職種   特任教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Analysis of spinal muscular atrophy-like patients by targeted resequencing.
掲載誌名	正式名：Brain & development 略　 称：Brain Dev ISSNコード：18727131/03877604
巻・号・頁	42(2),pp.148-156
著者・共著者	Hosokawa Shinichi, Kubo Yuji, Arakawa Reiko, Takashima Hiroshi, Saito Kayoko
発行年月	2020/02
概要	BACKGROUND:Several effective therapies have been developed for spinal muscular atrophy (SMA), but there are multiple diseases that show SMA-like symptoms, necessitating efficient differential genetic diagnostic methods. Advancements in next-generation sequencing (NGS) technology have facilitated the successful diagnosis of many undiagnosed genetic diseases. Here, we applied NGS along with conventional methods for the molecular diagnosis of undiagnosed patients with lower motor neuron (LMN) symptoms who were initially suspected to have SMA.METHODS:We enrolled 157 patients with LMN symptoms who visited the Institute of Medical Genetics, Tokyo Women's Medical University, between 2005 and 2016. We excluded 86 patients diagnosed with SMA after confirming the causative SMN1 gene deletion or variants. Finally, we examined 12 undiagnosed patients from eight families by targeted resequencing using NGS. Variants were selected on the basis of literature search and databases, and mutations in a gene where loss of function is a known mechanism of disease were considered as pathogenic. Candidate variants were validated by Sanger sequencing.RESULTS:We detected novel variants for three patients from two families. Patients 1 and 2 (siblings) showed compound heterozygous TTN variants (c.6621delG, p.W2207Cfs*28 and c.23718T>A, p.F7906L), while patient 3 displayed compound heterozygous KIF1A variants of (c.3871C>T, p.R1291C and c.3898G>A, p.V1300M).CONCLUSIONS:We detected appropriate variants using our approach of obtaining candidate pathogenic variants by targeted resequencing through NGS and narrowed down the variants in light of patient clinical symptoms. We successfully identified novel causative variants in three undiagnosed patients, which indicated the effectiveness of our approach.
DOI	10.1016/j.braindev.2019.10.008
PMID	31734026