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RNA modification-related variants in genomic loci associated with body mass index

BACKGROUND: Genome-wide association studies (GWASs) have identified hundreds of loci for body mass index (BMI), but functional variants in these loci are less known. The purpose of this study was to identify RNA modification-related SNPs (RNAm-SNPs) for BMI in GWAS loci. BMI-associated RNAm-SNPs wer...

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Autores principales: Wu, Jingyun, Wang, Mimi, Han, Limin, Zhang, Huan, Lei, Shufeng, Zhang, Yonghong, Mo, Xingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316745/
https://www.ncbi.nlm.nih.gov/pubmed/35879730
http://dx.doi.org/10.1186/s40246-022-00403-1
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author Wu, Jingyun
Wang, Mimi
Han, Limin
Zhang, Huan
Lei, Shufeng
Zhang, Yonghong
Mo, Xingbo
author_facet Wu, Jingyun
Wang, Mimi
Han, Limin
Zhang, Huan
Lei, Shufeng
Zhang, Yonghong
Mo, Xingbo
author_sort Wu, Jingyun
collection PubMed
description BACKGROUND: Genome-wide association studies (GWASs) have identified hundreds of loci for body mass index (BMI), but functional variants in these loci are less known. The purpose of this study was to identify RNA modification-related SNPs (RNAm-SNPs) for BMI in GWAS loci. BMI-associated RNAm-SNPs were identified in a GWAS of approximately 700,000 individuals. Gene expression and circulating protein levels affected by the RNAm-SNPs were identified by QTL analyses. Mendelian randomization (MR) methods were applied to test whether the gene expression and protein levels were associated with BMI. RESULTS: A total of 78 RNAm-SNPs associated with BMI (P < 5.0 × 10(–8)) were identified, including 65 m(6)A-, 10 m(1)A-, 3 m(7)G- and 1 A-to-I-related SNPs. Two functional loss, high confidence level m(6)A-SNPs, rs6713978 (P = 6.4 × 10(–60)) and rs13410999 (P = 8.2 × 10(–59)), in the intron of ADCY3 were the top significant SNPs. These two RNAm-SNPs were associated with ADCY3 gene expression in adipose tissues, whole blood cells, the tibial nerve, the tibial artery and lymphocytes, and the expression levels in these tissues were associated with BMI. Proteins enriched in specific KEGG pathways, such as natural killer cell-mediated cytotoxicity, the Rap1 signaling pathway and the Ras signaling pathway, were affected by the RNAm-SNPs, and circulating levels of some of these proteins (ADH1B, DOCK9, MICB, PRDM1, STOM, TMPRSS11D and TXNDC12) were associated with BMI in MR analyses. CONCLUSIONS: Our study identified RNAm-SNPs in BMI-related genomic loci and suggested that RNA modification may affect BMI by affecting the expression levels of corresponding genes and proteins. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00403-1.
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spelling pubmed-93167452022-07-27 RNA modification-related variants in genomic loci associated with body mass index Wu, Jingyun Wang, Mimi Han, Limin Zhang, Huan Lei, Shufeng Zhang, Yonghong Mo, Xingbo Hum Genomics Research BACKGROUND: Genome-wide association studies (GWASs) have identified hundreds of loci for body mass index (BMI), but functional variants in these loci are less known. The purpose of this study was to identify RNA modification-related SNPs (RNAm-SNPs) for BMI in GWAS loci. BMI-associated RNAm-SNPs were identified in a GWAS of approximately 700,000 individuals. Gene expression and circulating protein levels affected by the RNAm-SNPs were identified by QTL analyses. Mendelian randomization (MR) methods were applied to test whether the gene expression and protein levels were associated with BMI. RESULTS: A total of 78 RNAm-SNPs associated with BMI (P < 5.0 × 10(–8)) were identified, including 65 m(6)A-, 10 m(1)A-, 3 m(7)G- and 1 A-to-I-related SNPs. Two functional loss, high confidence level m(6)A-SNPs, rs6713978 (P = 6.4 × 10(–60)) and rs13410999 (P = 8.2 × 10(–59)), in the intron of ADCY3 were the top significant SNPs. These two RNAm-SNPs were associated with ADCY3 gene expression in adipose tissues, whole blood cells, the tibial nerve, the tibial artery and lymphocytes, and the expression levels in these tissues were associated with BMI. Proteins enriched in specific KEGG pathways, such as natural killer cell-mediated cytotoxicity, the Rap1 signaling pathway and the Ras signaling pathway, were affected by the RNAm-SNPs, and circulating levels of some of these proteins (ADH1B, DOCK9, MICB, PRDM1, STOM, TMPRSS11D and TXNDC12) were associated with BMI in MR analyses. CONCLUSIONS: Our study identified RNAm-SNPs in BMI-related genomic loci and suggested that RNA modification may affect BMI by affecting the expression levels of corresponding genes and proteins. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00403-1. BioMed Central 2022-07-25 /pmc/articles/PMC9316745/ /pubmed/35879730 http://dx.doi.org/10.1186/s40246-022-00403-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Jingyun
Wang, Mimi
Han, Limin
Zhang, Huan
Lei, Shufeng
Zhang, Yonghong
Mo, Xingbo
RNA modification-related variants in genomic loci associated with body mass index
title RNA modification-related variants in genomic loci associated with body mass index
title_full RNA modification-related variants in genomic loci associated with body mass index
title_fullStr RNA modification-related variants in genomic loci associated with body mass index
title_full_unstemmed RNA modification-related variants in genomic loci associated with body mass index
title_short RNA modification-related variants in genomic loci associated with body mass index
title_sort rna modification-related variants in genomic loci associated with body mass index
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316745/
https://www.ncbi.nlm.nih.gov/pubmed/35879730
http://dx.doi.org/10.1186/s40246-022-00403-1
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