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JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types

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 associat...

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Autores principales: Akiyama, Shintaro, Higaki, Sayuri, Ochiya, Takahiro, Ozaki, Kouichi, Niida, Shumpei, Shigemizu, Daichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570227/
https://www.ncbi.nlm.nih.gov/pubmed/34730175
http://dx.doi.org/10.1093/database/baab072
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author Akiyama, Shintaro
Higaki, Sayuri
Ochiya, Takahiro
Ozaki, Kouichi
Niida, Shumpei
Shigemizu, Daichi
author_facet Akiyama, Shintaro
Higaki, Sayuri
Ochiya, Takahiro
Ozaki, Kouichi
Niida, Shumpei
Shigemizu, Daichi
author_sort Akiyama, Shintaro
collection PubMed
description 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/
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spelling pubmed-85702272021-11-08 JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types Akiyama, Shintaro Higaki, Sayuri Ochiya, Takahiro Ozaki, Kouichi Niida, Shumpei Shigemizu, Daichi Database (Oxford) Original Article 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/ Oxford University Press 2021-11-03 /pmc/articles/PMC8570227/ /pubmed/34730175 http://dx.doi.org/10.1093/database/baab072 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Akiyama, Shintaro
Higaki, Sayuri
Ochiya, Takahiro
Ozaki, Kouichi
Niida, Shumpei
Shigemizu, Daichi
JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title_full JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title_fullStr JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title_full_unstemmed JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title_short JAMIR-eQTL: Japanese genome-wide identification of microRNA expression quantitative trait loci across dementia types
title_sort jamir-eqtl: japanese genome-wide identification of microrna expression quantitative trait loci across dementia types
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570227/
https://www.ncbi.nlm.nih.gov/pubmed/34730175
http://dx.doi.org/10.1093/database/baab072
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