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Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity

Genome-wide association studies have identified many susceptible loci to explore the genetic factors of adiposity. However, the specific mechanisms by which these SNPs (single nucleotide polymorphism), particularly in the non-coding region, are involved in the pathogenesis of adiposity remain unclea...

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Autores principales: Lin, Weimin, Xu, Hao, Yuan, Quan, Zhang, Shiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358408/
https://www.ncbi.nlm.nih.gov/pubmed/32733881
http://dx.doi.org/10.3389/fcell.2020.00551
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author Lin, Weimin
Xu, Hao
Yuan, Quan
Zhang, Shiwen
author_facet Lin, Weimin
Xu, Hao
Yuan, Quan
Zhang, Shiwen
author_sort Lin, Weimin
collection PubMed
description Genome-wide association studies have identified many susceptible loci to explore the genetic factors of adiposity. However, the specific mechanisms by which these SNPs (single nucleotide polymorphism), particularly in the non-coding region, are involved in the pathogenesis of adiposity remain unclear. Recently, genetic variation is thought to affect N(6)-methyladenosine (m6A) RNA modification, which is the most common post-transcriptional messenger RNA modification. In this study, we identified a large number of BMI (body mass index)-associated m6A-SNPs from published GWAS summary statistics through a public database and explored their potential mechanisms involved in the pathogenesis of adiposity. In summary, the integrative analysis detected 20,993 BMI-associated m6A-SNPs and 230 m6A-SNPs which reached the genome-wide suggestive threshold (5.0E-05), while 215 of them showed eQTL signals and 167 are the corresponding genes. The leading SNP rs8024 (C/A) was located next to the m6A modification site of 3′UTR of the IPO9 gene, which was predicted to affect the m6A modification site and regulate the expression of the IPO9 gene to participate in the pathogenesis of adiposity. This m6A-SNP/gene expression/adiposity triplets provide a new annotation for the pathogenic mechanism of adiposity risk loci identified by GWAS.
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spelling pubmed-73584082020-07-29 Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity Lin, Weimin Xu, Hao Yuan, Quan Zhang, Shiwen Front Cell Dev Biol Cell and Developmental Biology Genome-wide association studies have identified many susceptible loci to explore the genetic factors of adiposity. However, the specific mechanisms by which these SNPs (single nucleotide polymorphism), particularly in the non-coding region, are involved in the pathogenesis of adiposity remain unclear. Recently, genetic variation is thought to affect N(6)-methyladenosine (m6A) RNA modification, which is the most common post-transcriptional messenger RNA modification. In this study, we identified a large number of BMI (body mass index)-associated m6A-SNPs from published GWAS summary statistics through a public database and explored their potential mechanisms involved in the pathogenesis of adiposity. In summary, the integrative analysis detected 20,993 BMI-associated m6A-SNPs and 230 m6A-SNPs which reached the genome-wide suggestive threshold (5.0E-05), while 215 of them showed eQTL signals and 167 are the corresponding genes. The leading SNP rs8024 (C/A) was located next to the m6A modification site of 3′UTR of the IPO9 gene, which was predicted to affect the m6A modification site and regulate the expression of the IPO9 gene to participate in the pathogenesis of adiposity. This m6A-SNP/gene expression/adiposity triplets provide a new annotation for the pathogenic mechanism of adiposity risk loci identified by GWAS. Frontiers Media S.A. 2020-07-07 /pmc/articles/PMC7358408/ /pubmed/32733881 http://dx.doi.org/10.3389/fcell.2020.00551 Text en Copyright © 2020 Lin, Xu, Yuan and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Lin, Weimin
Xu, Hao
Yuan, Quan
Zhang, Shiwen
Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title_full Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title_fullStr Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title_full_unstemmed Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title_short Integrative Genomic Analysis Predicts Regulatory Role of N(6)-Methyladenosine-Associated SNPs for Adiposity
title_sort integrative genomic analysis predicts regulatory role of n(6)-methyladenosine-associated snps for adiposity
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358408/
https://www.ncbi.nlm.nih.gov/pubmed/32733881
http://dx.doi.org/10.3389/fcell.2020.00551
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