Back to Search
Start Over
Alzheimer's disease risk SNPs show no strong effect on miRNA expression in human lymphoblastoid cell lines.
- Source :
-
Neurobiology of aging [Neurobiol Aging] 2020 Feb; Vol. 86, pp. 202.e1-202.e3. Date of Electronic Publication: 2019 Aug 20. - Publication Year :
- 2020
-
Abstract
- The role of microRNAs (miRNAs) in the pathogenesis of Alzheimer's disease (AD) is currently extensively investigated. In this study, we assessed the potential impact of AD genetic risk variants on miRNA expression by performing large-scale bioinformatic data integration. Our analysis was based on genetic variants from 3 AD genome-wide association studies (GWASs). Association with miRNA expression was tested by expression quantitative trait locus analysis using next-generation miRNA sequencing data generated in lymphoblastoid cell lines. Although, overall, we did not identify a strong effect of AD GWAS variants on miRNA expression in this cell type, we highlight 2 notable outliers, that is, miR-29c-5p and miR-6840-5p. MiR-29c-5p was recently reported to be involved in the regulation of BACE1 and SORL1 expression. In conclusion, despite 2 exceptions, our large-scale assessment provides only limited support for the hypothesis that AD GWAS variants act as miRNA expression quantitative trait loci.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Amyloid Precursor Protein Secretases genetics
Amyloid Precursor Protein Secretases metabolism
Aspartic Acid Endopeptidases genetics
Aspartic Acid Endopeptidases metabolism
Cell Line
Genome-Wide Association Study
Humans
LDL-Receptor Related Proteins genetics
LDL-Receptor Related Proteins metabolism
Membrane Transport Proteins genetics
Membrane Transport Proteins metabolism
Negative Results
Quantitative Trait Loci genetics
Risk
Alzheimer Disease genetics
Gene Expression
Lymphocytes metabolism
MicroRNAs genetics
MicroRNAs metabolism
Polymorphism, Single Nucleotide
Subjects
Details
- Language :
- English
- ISSN :
- 1558-1497
- Volume :
- 86
- Database :
- MEDLINE
- Journal :
- Neurobiology of aging
- Publication Type :
- Academic Journal
- Accession number :
- 31685236
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2019.08.013