Vélez Jorge I, Lopera Francisco, Patel Hardip R, Johar Angad S, Cai Yeping, Rivera Dora, Tobón Carlos, Villegas Andrés, Sepulveda-Falla Diego, Lehmann Shaun G, Easteal Simon, Mastronardi Claudio A, Arcos-Burgos Mauricio
Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory, Australia.
Neuroscience Research Group, University of Antioquia, Medellín, Colombia.
Am J Med Genet B Neuropsychiatr Genet. 2016 Dec;171(8):1116-1130. doi: 10.1002/ajmg.b.32493. Epub 2016 Aug 30.
The identification of mutations modifying the age of onset (AOO) in Alzheimer's disease (AD) is crucial for understanding the natural history of AD and, therefore, for early interventions. Patients with sporadic AD (sAD) from a genetic isolate in the extremes of the AOO distribution were whole-exome genotyped. Single- and multi-locus linear mixed-effects models were used to identify functional variants modifying AOO. A posteriori enrichment and bioinformatic analyses were applied to evaluate the non-random clustering of the associate variants to physiopathological pathways involved in AD. We identified more than 20 pathogenic, genome-wide statistically significant mutations of major modifier effect on the AOO. These variants are harbored in genes implicated in neuron apoptosis, neurogenesis, inflammatory processes linked to AD, oligodendrocyte differentiation, and memory processes. This set of new genes harboring these mutations could be of importance for prediction, follow-up and eventually as therapeutical targets of AD. © 2016 Wiley Periodicals, Inc.
识别改变阿尔茨海默病(AD)发病年龄(AOO)的突变对于理解AD的自然史至关重要,因此对于早期干预也很关键。对来自AOO分布两端遗传隔离群体的散发性AD(sAD)患者进行了全外显子基因分型。使用单基因座和多基因座线性混合效应模型来识别改变AOO的功能变异。应用事后富集和生物信息学分析来评估相关变异在AD涉及的生理病理途径中的非随机聚集。我们鉴定出20多个对AOO具有主要修饰作用的致病性、全基因组统计学显著突变。这些变异存在于与神经元凋亡、神经发生、与AD相关的炎症过程、少突胶质细胞分化和记忆过程有关的基因中。这组携带这些突变的新基因对于AD的预测、随访以及最终作为治疗靶点可能具有重要意义。© 2016威利期刊公司