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Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population
We performed a metabolome genome-wide association study for the Japanese population in the prospective cohort study of Tohoku Medical Megabank. By combining whole-genome sequencing and nontarget metabolome analyses, we identified a large number of novel associations between genetic variants and plas...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659008/ https://www.ncbi.nlm.nih.gov/pubmed/33177615 http://dx.doi.org/10.1038/s42003-020-01383-5 |
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author | Koshiba, Seizo Motoike, Ikuko N. Saigusa, Daisuke Inoue, Jin Aoki, Yuichi Tadaka, Shu Shirota, Matsuyuki Katsuoka, Fumiki Tamiya, Gen Minegishi, Naoko Fuse, Nobuo Kinoshita, Kengo Yamamoto, Masayuki |
author_facet | Koshiba, Seizo Motoike, Ikuko N. Saigusa, Daisuke Inoue, Jin Aoki, Yuichi Tadaka, Shu Shirota, Matsuyuki Katsuoka, Fumiki Tamiya, Gen Minegishi, Naoko Fuse, Nobuo Kinoshita, Kengo Yamamoto, Masayuki |
author_sort | Koshiba, Seizo |
collection | PubMed |
description | We performed a metabolome genome-wide association study for the Japanese population in the prospective cohort study of Tohoku Medical Megabank. By combining whole-genome sequencing and nontarget metabolome analyses, we identified a large number of novel associations between genetic variants and plasma metabolites. Of the identified metabolite-associated genes, approximately half have already been shown to be involved in various diseases. We identified metabolite-associated genes involved in the metabolism of xenobiotics, some of which are from intestinal microorganisms, indicating that the identified genetic variants also markedly influence the interaction between the host and symbiotic bacteria. We also identified five associations that appeared to be female-specific. A number of rare variants that influence metabolite levels were also found, and combinations of common and rare variants influenced the metabolite levels more profoundly. These results support our contention that metabolic phenotyping provides important insights into how genetic and environmental factors provoke human diseases. |
format | Online Article Text |
id | pubmed-7659008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76590082020-11-17 Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population Koshiba, Seizo Motoike, Ikuko N. Saigusa, Daisuke Inoue, Jin Aoki, Yuichi Tadaka, Shu Shirota, Matsuyuki Katsuoka, Fumiki Tamiya, Gen Minegishi, Naoko Fuse, Nobuo Kinoshita, Kengo Yamamoto, Masayuki Commun Biol Article We performed a metabolome genome-wide association study for the Japanese population in the prospective cohort study of Tohoku Medical Megabank. By combining whole-genome sequencing and nontarget metabolome analyses, we identified a large number of novel associations between genetic variants and plasma metabolites. Of the identified metabolite-associated genes, approximately half have already been shown to be involved in various diseases. We identified metabolite-associated genes involved in the metabolism of xenobiotics, some of which are from intestinal microorganisms, indicating that the identified genetic variants also markedly influence the interaction between the host and symbiotic bacteria. We also identified five associations that appeared to be female-specific. A number of rare variants that influence metabolite levels were also found, and combinations of common and rare variants influenced the metabolite levels more profoundly. These results support our contention that metabolic phenotyping provides important insights into how genetic and environmental factors provoke human diseases. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7659008/ /pubmed/33177615 http://dx.doi.org/10.1038/s42003-020-01383-5 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Koshiba, Seizo Motoike, Ikuko N. Saigusa, Daisuke Inoue, Jin Aoki, Yuichi Tadaka, Shu Shirota, Matsuyuki Katsuoka, Fumiki Tamiya, Gen Minegishi, Naoko Fuse, Nobuo Kinoshita, Kengo Yamamoto, Masayuki Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title | Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title_full | Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title_fullStr | Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title_full_unstemmed | Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title_short | Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population |
title_sort | identification of critical genetic variants associated with metabolic phenotypes of the japanese population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659008/ https://www.ncbi.nlm.nih.gov/pubmed/33177615 http://dx.doi.org/10.1038/s42003-020-01383-5 |
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