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JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
Shintaro Akiyama1, Sayuri Higaki2, Takahiro Ochiya3
1Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Aichi 474-8511, Japan.
Abstract:
MicroRNAs (miRNAs) are small non-coding RNAs shown to regulate gene expression by binding to complementary transcripts. Genetic variants, including single-nucleotide polymorphisms and short insertions/deletions, contribute to traits and diseases by influencing miRNA expression. However, the association between genetic variation and miRNA expression remains to be elucidated. Here, by using genotype data and miRNA expression data from 3448 Japanese serum samples, we developed a computational pipeline to systematically identify genome-wide miRNA expression quantitative trait loci (miR-eQTLs). Not only did we identify a total of 2487 cis-miR-eQTLs and 3 155 773 trans-miR-eQTLs at a false discovery rate of <0.05 in six dementia types (Alzheimer's disease, dementia with Lewy bodies, vascular dementia, frontotemporal lobar degeneration, normal-pressure hydrocephalus and mild cognitive impairment) and all samples, including those from patients with other types of dementia, but also we examined the commonality and specificity of miR-eQTLs among dementia types. To enable data searching and downloading of these cis- and trans-eQTLs, we developed a user-friendly database named JAMIR-eQTL, publicly available at https://www.jamir-eqtl.org/. This is the first miR-eQTL database designed for dementia types. Our integrative and comprehensive resource will contribute to understanding the genetic basis of miRNA expression as well as to the discovery of deleterious mutations, particularly in dementia studies. Database URL: https://www.jamir-eqtl.org/.
Insights
Researchers identified thousands of genetic variants influencing microRNA (miRNA) expression in dementia patients. This discovery aids in understanding the genetic underpinnings of miRNA regulation and its role in neurological diseases.
Area of Science:
- Genomics
- Molecular Biology
- Neuroscience
Background:
- MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression.
- Genetic variations can impact miRNA expression, influencing traits and diseases.
- The link between genetic variation and miRNA expression in dementia is not fully understood.
Purpose of the Study:
- To systematically identify genome-wide miRNA expression quantitative trait loci (miR-eQTLs) associated with dementia.
- To analyze the commonality and specificity of these miR-eQTLs across different dementia types.
- To create a publicly accessible database for these genetic findings.
Main Methods:
- Utilized genotype and miRNA expression data from 3448 Japanese serum samples.
- Developed a computational pipeline for genome-wide miR-eQTL identification.
- Performed analysis across six dementia types and combined sample sets.
Main Results:
- Identified 2487 cis-miR-eQTLs and 3,155,773 trans-miR-eQTLs at <0.05 false discovery rate.
- Characterized shared and unique miR-eQTLs across Alzheimer's disease, dementia with Lewy bodies, vascular dementia, frontotemporal lobar degeneration, normal-pressure hydrocephalus, and mild cognitive impairment.
- Developed the JAMIR-eQTL database (https://www.jamir-eqtl.org/) for data access.
Conclusions:
- This study provides the first comprehensive miR-eQTL resource specifically for dementia types.
- The findings contribute to understanding the genetic basis of miRNA expression in neurological disorders.
- The JAMIR-eQTL database facilitates further research into genetic mutations and dementia.
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