绘制老年人大脑中的microRNA景观及其对神经精神疾病的遗传贡献。

IF 17 Q1 CELL BIOLOGY Nature aging Pub Date : 2024-12-06 DOI:10.1038/s43587-024-00778-x
Selina M. Vattathil, Ekaterina S. Gerasimov, Se Min Canon, Adriana Lori, Sarah Sze Min Tan, Paul J. Kim, Yue Liu, Eric C. Lai, David A. Bennett, Thomas S. Wingo, Aliza P. Wingo
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摘要

MicroRNAs (miRNAs)在调节基因表达和影响许多生物过程中起着至关重要的作用。尽管它们很重要,但对遗传变异如何影响大脑中miRNA表达以及这与大脑疾病的关系的理解仍然有限。在这里,我们通过鉴定microRNA表达数量性状位点(miR-QTLs)或与脑miRNA水平相关的遗传变异来研究这些问题,使用来自604名欧洲血统老年成年供体背外侧前额叶皮层样本的全基因组小RNA测序图谱。在这里,我们发现近一半(470个中的224个)分析的mirna具有相关的mir - qtl,其中许多位于脑启动子和增强子等调控区域。我们还证明,基因内mirna通常具有独立于宿主基因的遗传调控。此外,通过将我们的发现与16项精神病学和神经退行性疾病的全基因组关联研究相结合,我们确定了可能导致双相情感障碍、抑郁症、精神分裂症和帕金森病的mirna。这些发现促进了对mirna的遗传调控及其在大脑健康和疾病中的作用的理解。
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Mapping the microRNA landscape in the older adult brain and its genetic contribution to neuropsychiatric conditions
MicroRNAs (miRNAs) play a crucial role in regulating gene expression and influence many biological processes. Despite their importance, understanding of how genetic variation affects miRNA expression in the brain and how this relates to brain disorders remains limited. Here we investigated these questions by identifying microRNA expression quantitative trait loci (miR-QTLs), or genetic variants associated with brain miRNA levels, using genome-wide small RNA sequencing profiles from dorsolateral prefrontal cortex samples of 604 older adult donors of European ancestry. Here we show that nearly half (224 of 470) of the analyzed miRNAs have associated miR-QTLs, many of which fall in regulatory regions such as brain promoters and enhancers. We also demonstrate that intragenic miRNAs often have genetic regulation independent from their host genes. Furthermore, by integrating our findings with 16 genome-wide association studies of psychiatric and neurodegenerative disorders, we identified miRNAs that likely contribute to bipolar disorder, depression, schizophrenia and Parkinson’s disease. These findings advance understanding of the genetic regulation of miRNAs and their role in brain health and disease. Using small RNA sequencing data from aged human brain tissue, Vattathil, Gerasimov et al. uncovered genetic variants that influence microRNA (miRNA) expression and, by integrating genome-wide association study data, identified miRNAs linked to the etiology of psychiatric and neurodegenerative disorders.
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