
Abstract 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.
Gene Expression Regulation (mesh), Male, Aging, Aging (mesh), Brain Disorders (rcdc), 80 and over, 80 and over (mesh), 32 Biomedical and Clinical Sciences (for-2020), Male (mesh), Neurosciences (rcdc), 3214 Pharmacology and Pharmaceutical Sciences (for-2020), Aged, 80 and over, Humans (mesh), Mental Disorders (mesh), Mental Disorders, Brain, Middle Aged, Genome-Wide Association Study (mesh), Female, Quantitative Trait Loci (mesh), Mental Health (rcdc), Resource, 570, Mental Illness (rcdc), Quantitative Trait Loci, Prefrontal Cortex, 610, Biotechnology (rcdc), MicroRNAs (mesh), Brain (mesh), Middle Aged (mesh), Humans, Serious Mental Illness (rcdc), Schizophrenia (rcdc), Aged, 1.1 Normal biological development and functioning (hrcs-rac), Genetics (rcdc), Neurological (hrcs-hc), Aged (mesh), 2.1 Biological and endogenous factors (hrcs-rac), 3202 Clinical sciences (for-2020), Human Genome (rcdc), Mental health (hrcs-hc), MicroRNAs, Gene Expression Regulation, Female (mesh), Genome-Wide Association Study
Gene Expression Regulation (mesh), Male, Aging, Aging (mesh), Brain Disorders (rcdc), 80 and over, 80 and over (mesh), 32 Biomedical and Clinical Sciences (for-2020), Male (mesh), Neurosciences (rcdc), 3214 Pharmacology and Pharmaceutical Sciences (for-2020), Aged, 80 and over, Humans (mesh), Mental Disorders (mesh), Mental Disorders, Brain, Middle Aged, Genome-Wide Association Study (mesh), Female, Quantitative Trait Loci (mesh), Mental Health (rcdc), Resource, 570, Mental Illness (rcdc), Quantitative Trait Loci, Prefrontal Cortex, 610, Biotechnology (rcdc), MicroRNAs (mesh), Brain (mesh), Middle Aged (mesh), Humans, Serious Mental Illness (rcdc), Schizophrenia (rcdc), Aged, 1.1 Normal biological development and functioning (hrcs-rac), Genetics (rcdc), Neurological (hrcs-hc), Aged (mesh), 2.1 Biological and endogenous factors (hrcs-rac), 3202 Clinical sciences (for-2020), Human Genome (rcdc), Mental health (hrcs-hc), MicroRNAs, Gene Expression Regulation, Female (mesh), Genome-Wide Association Study
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
