Li Chunyu, Lin Junyu, Jiang Qirui, Yang Tianmi, Xiao Yi, Huang Jingxuan, Hou Yanbing, Wei Qianqian, Cui Yiyuan, Wang Shichan, Zheng Xiaoting, Ou Ruwei, Liu Kuncheng, Chen Xueping, Song Wei, Zhao Bi, Shang Huifang
Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, China.
Ann Neurol. 2023 Nov;94(5):933-941. doi: 10.1002/ana.26752. Epub 2023 Aug 14.
Age at onset (AAO) is an essential clinical feature associated with disease progression and mortality in amyotrophic lateral sclerosis (ALS). Identification of genetic variants and environmental risk factors influencing AAO of ALS could help better understand the disease's biological mechanism and provide clinical guidance. However, most genetic studies focused on the risk of ALS, while the genetic background of AAO is less explored. This study aimed to identify genetic and environmental determinants for AAO of ALS.
We performed a genome-wide association analysis using a Cox proportional hazards model on AAO of ALS in 10,068 patients. We further conducted colocalization analysis and in-vitro functional exploration for the target variants, as well as Mendelian randomization analysis to identify risk factors influencing AAO of ALS.
The total heritability of AAO of ALS was ~0.16 (standard error [SE] = 0.03). One novel locus rs2046243 (CTIF) was significantly associated with earlier AAO by ~1.29 years (p = 1.68E-08, beta = 0.10, SE = 0.02). Functional exploration suggested this variant was associated with increased expression of CTIF in multiple tissues including the brain. Colocalization analysis detected a colocalization signal at the locus between AAO of ALS and expression of CTIF. Causal inference indicated higher education level was associated with later AAO.
These findings improve the current knowledge of the genetic and environmental etiology of AAO of ALS, and provide a novel target CTIF for further research on ALS pathogenesis and potential therapeutic options to delay the disease onset. ANN NEUROL 2023;94:933-941.
发病年龄(AAO)是肌萎缩侧索硬化症(ALS)中与疾病进展和死亡率相关的重要临床特征。识别影响ALS发病年龄的基因变异和环境风险因素有助于更好地理解该疾病的生物学机制并提供临床指导。然而,大多数基因研究聚焦于ALS的发病风险,而对发病年龄的基因背景研究较少。本研究旨在识别ALS发病年龄的遗传和环境决定因素。
我们对10,068例ALS患者的发病年龄采用Cox比例风险模型进行了全基因组关联分析。我们进一步对目标变异进行了共定位分析和体外功能探索,以及孟德尔随机化分析以识别影响ALS发病年龄的风险因素。
ALS发病年龄的总遗传度约为0.16(标准误[SE]=0.03)。一个新的位点rs2046243(CTIF)与发病年龄提前约1.29年显著相关(p=1.68E-08,β=0.10,SE=0.02)。功能探索表明该变异与包括脑在内的多个组织中CTIF表达增加有关。共定位分析在ALS发病年龄和CTIF表达的位点检测到一个共定位信号。因果推断表明受教育程度较高与发病年龄较晚有关。
这些发现增进了我们对ALS发病年龄的遗传和环境病因学的当前认识,并为进一步研究ALS发病机制和延缓疾病发作的潜在治疗选择提供了一个新的靶点CTIF。《神经病学纪事》2023年;94:933 - 941。