肌萎缩侧索硬化
孟德尔随机化
生物
全基因组关联研究
疾病
生物途径
电池类型
神经科学
遗传学
基因
计算生物学
医学
细胞
单核苷酸多态性
遗传变异
基因表达
基因型
病理
作者
Sara Sáez-Atiénzar,Sara Bandrés‐Ciga,Rebekah G. Langston,Jonggeol J. Kim,Shing Wan Choi,Regina H. Reynolds,Yevgeniya Abramzon,Ramita Dewan,Sarah Ahmed,John E. Landers,Ruth Chia,Mina Ryten,Mark Cookson,Michael A. Nalls,Adriano Chiò,Bryan J. Traynor
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2021-01-15
卷期号:7 (3)
被引量:64
标识
DOI:10.1126/sciadv.abd9036
摘要
Despite the considerable progress in unraveling the genetic causes of amyotrophic lateral sclerosis (ALS), we do not fully understand the molecular mechanisms underlying the disease. We analyzed genome-wide data involving 78,500 individuals using a polygenic risk score approach to identify the biological pathways and cell types involved in ALS. This data-driven approach identified multiple aspects of the biology underlying the disease that resolved into broader themes, namely, neuron projection morphogenesis, membrane trafficking, and signal transduction mediated by ribonucleotides. We also found that genomic risk in ALS maps consistently to GABAergic interneurons and oligodendrocytes, as confirmed in human single-nucleus RNA-seq data. Using two-sample Mendelian randomization, we nominated six differentially expressed genes (ATG16L2, ACSL5, MAP1LC3A, MAPKAPK3, PLXNB2, and SCFD1) within the significant pathways as relevant to ALS. We conclude that the disparate genetic etiologies of this fatal neurological disease converge on a smaller number of final common pathways and cell types.
科研通智能强力驱动
Strongly Powered by AbleSci AI