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mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer

BACKGROUND: Metabolite genome-wide association studies (mGWAS) are key for understanding the genetic regulation of metabolites in complex diseases including cancers. Although mGWAS has revealed hundreds of metabolomics quantitative trait loci (mQTLs) in the general population, data relating to gastr...

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Autores principales: Yang, Shuangfeng, Wang, Yuan-Liang, Lyu, Yanping, Jiang, Yu, Xiang, Jianjun, Ji, Shumi, Kang, Shuling, Lyu, Xuejie, He, Chenzhou, Li, Peixin, Liu, Baoying, Wu, Chuancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474935/
https://www.ncbi.nlm.nih.gov/pubmed/34565479
http://dx.doi.org/10.1186/s40170-021-00269-2
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author Yang, Shuangfeng
Wang, Yuan-Liang
Lyu, Yanping
Jiang, Yu
Xiang, Jianjun
Ji, Shumi
Kang, Shuling
Lyu, Xuejie
He, Chenzhou
Li, Peixin
Liu, Baoying
Wu, Chuancheng
author_facet Yang, Shuangfeng
Wang, Yuan-Liang
Lyu, Yanping
Jiang, Yu
Xiang, Jianjun
Ji, Shumi
Kang, Shuling
Lyu, Xuejie
He, Chenzhou
Li, Peixin
Liu, Baoying
Wu, Chuancheng
author_sort Yang, Shuangfeng
collection PubMed
description BACKGROUND: Metabolite genome-wide association studies (mGWAS) are key for understanding the genetic regulation of metabolites in complex diseases including cancers. Although mGWAS has revealed hundreds of metabolomics quantitative trait loci (mQTLs) in the general population, data relating to gastric cancer (GC) are still incomplete. METHODS: We identified mQTLs associated with GC by analyzing genome-wide and metabolome-wide datasets generated from 233 GC patients and 233 healthy controls. RESULTS: Twenty-two metabolites were statistically different between GC cases and healthy controls, and all of them were associated with the risk of gastric cancer. mGWAS analyses further revealed that 9 single nucleotide polymorphisms (SNPs) were significantly associated with 3 metabolites. Of these 9 SNPs, 6 loci were never reported in the previous mGWAS studies. Surprisingly, 4 of 9 SNPs were significantly enriched in genes involved in the T cell receptor signaling pathway. CONCLUSIONS: Our study unveiled several novel GC metabolite and genetic biomarkers, which may be implicated in the prevention and diagnosis of gastric cancer.
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spelling pubmed-84749352021-09-28 mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer Yang, Shuangfeng Wang, Yuan-Liang Lyu, Yanping Jiang, Yu Xiang, Jianjun Ji, Shumi Kang, Shuling Lyu, Xuejie He, Chenzhou Li, Peixin Liu, Baoying Wu, Chuancheng Cancer Metab Research BACKGROUND: Metabolite genome-wide association studies (mGWAS) are key for understanding the genetic regulation of metabolites in complex diseases including cancers. Although mGWAS has revealed hundreds of metabolomics quantitative trait loci (mQTLs) in the general population, data relating to gastric cancer (GC) are still incomplete. METHODS: We identified mQTLs associated with GC by analyzing genome-wide and metabolome-wide datasets generated from 233 GC patients and 233 healthy controls. RESULTS: Twenty-two metabolites were statistically different between GC cases and healthy controls, and all of them were associated with the risk of gastric cancer. mGWAS analyses further revealed that 9 single nucleotide polymorphisms (SNPs) were significantly associated with 3 metabolites. Of these 9 SNPs, 6 loci were never reported in the previous mGWAS studies. Surprisingly, 4 of 9 SNPs were significantly enriched in genes involved in the T cell receptor signaling pathway. CONCLUSIONS: Our study unveiled several novel GC metabolite and genetic biomarkers, which may be implicated in the prevention and diagnosis of gastric cancer. BioMed Central 2021-09-26 /pmc/articles/PMC8474935/ /pubmed/34565479 http://dx.doi.org/10.1186/s40170-021-00269-2 Text en © The Author(s) 2021 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
Yang, Shuangfeng
Wang, Yuan-Liang
Lyu, Yanping
Jiang, Yu
Xiang, Jianjun
Ji, Shumi
Kang, Shuling
Lyu, Xuejie
He, Chenzhou
Li, Peixin
Liu, Baoying
Wu, Chuancheng
mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title_full mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title_fullStr mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title_full_unstemmed mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title_short mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
title_sort mgwas identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474935/
https://www.ncbi.nlm.nih.gov/pubmed/34565479
http://dx.doi.org/10.1186/s40170-021-00269-2
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