肌萎缩侧索硬化
生物
遗传关联
全基因组关联研究
运动神经元
基因型
神经科学
遗传学
基因
医学
物理医学与康复
疾病
单核苷酸多态性
病理
作者
Ryoichi Nakamura,Genki Tohnai,Masahiro Nakatochi,Masashi Aoki,Hirohisa Watanabe,Daisuke Ito,Masahisa Katsuno,Akihiro Hirakawa,Yuishin Izumi,Mitsuya Morita,Takehisa Hirayama,Osamu Kano,Kazuaki Kanai,Nobutaka Hattori,Akira Taniguchi,Naoki Suzuki,Masashi Aoki,Ikuko Iwata,Ichiro Yabe,Kazumoto Shibuya
标识
DOI:10.1136/jnnp-2022-330851
摘要
Background Several genetic factors are associated with the pathogenesis of sporadic amyotrophic lateral sclerosis (ALS) and its phenotypes, such as disease progression. Here, in this study, we aimed to identify the genes that affect the survival of patients with sporadic ALS. Methods We enrolled 1076 Japanese patients with sporadic ALS with imputed genotype data of 7 908 526 variants. We used Cox proportional hazards regression analysis with an additive model adjusted for sex, age at onset and the first two principal components calculated from genotyped data to conduct a genome-wide association study. We further analysed messenger RNA (mRNA) and phenotype expression in motor neurons derived from induced pluripotent stem cells (iPSC-MNs) of patients with ALS. Results Three novel loci were significantly associated with the survival of patients with sporadic ALS— FGF1 at 5q31.3 (rs11738209, HR=2.36 (95% CI, 1.77 to 3.15), p=4.85×10 −9 ), THSD7A at 7p21.3 (rs2354952, 1.38 (95% CI, 1.24 to 1.55), p=1.61×10 −8 ) and LRP1 at 12q13.3 (rs60565245, 2.18 (95% CI, 1.66 to 2.86), p=2.35×10 −8 ). FGF1 and THSD7A variants were associated with decreased mRNA expression of each gene in iPSC-MNs and reduced in vitro survival of iPSC-MNs obtained from patients with ALS. The iPSC-MN in vitro survival was reduced when the expression of FGF1 and THSD7A was partially disrupted. The rs60565245 was not associated with LRP1 mRNA expression. Conclusions We identified three loci associated with the survival of patients with sporadic ALS, decreased mRNA expression of FGF1 and THSD7A and the viability of iPSC-MNs from patients. The iPSC-MN model reflects the association between patient prognosis and genotype and can contribute to target screening and validation for therapeutic intervention.
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