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Assessing the Relationship Between Gut Microbiota and Bone Mineral Density
BACKGROUND: Recent study demonstrates the comprehensive effects of gut microbiota on complex diseases or traits. However, limited effort has been conducted to explore the potential relationships between gut microbiota and BMD. METHODS: We performed a polygenetic risk scoring (PRS) analysis to system...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005253/ https://www.ncbi.nlm.nih.gov/pubmed/32082367 http://dx.doi.org/10.3389/fgene.2020.00006 |
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author | Cheng, Shiqiang Qi, Xin Ma, Mei Zhang, Lu Cheng, Bolun Liang, Chujun Liu, Li Li, Ping Kafle, Om Prakash Wen, Yan Zhang, Feng |
author_facet | Cheng, Shiqiang Qi, Xin Ma, Mei Zhang, Lu Cheng, Bolun Liang, Chujun Liu, Li Li, Ping Kafle, Om Prakash Wen, Yan Zhang, Feng |
author_sort | Cheng, Shiqiang |
collection | PubMed |
description | BACKGROUND: Recent study demonstrates the comprehensive effects of gut microbiota on complex diseases or traits. However, limited effort has been conducted to explore the potential relationships between gut microbiota and BMD. METHODS: We performed a polygenetic risk scoring (PRS) analysis to systematically explore the relationships between gut microbiota and body BMD. Significant SNP sets associated with gut microbiota were derived from previous genome-wide association study (GWAS). In total, 2,294 to 5,065 individuals with BMD values of different sites and their genotype data were obtained from UK Biobank cohort. The gut microbiota PRS of each individual was computed from the SNP genotype data for each study subject of UK Biobank by PLINK software. Using computed PRS as the instrumental variables of gut microbiota, Pearson correlation analysis of individual PRS values and BMD values was finally conducted to test the potential association between gut microbiota and target trait. RESULTS: In total, 31 BMD traits were selected as outcome to assess their relationships with gut microbiota. After adjusted for age, sex, body mass index, and the first 5 principal components (PCs) as the covariates using linear regression model, pelvis BMD (P = 0.0437) showed suggestive association signal with gut microbiota after multiple testing correction. CONCLUSION: Our study findings support the weak relevance of gut microbiota with the development of BMD. |
format | Online Article Text |
id | pubmed-7005253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70052532020-02-20 Assessing the Relationship Between Gut Microbiota and Bone Mineral Density Cheng, Shiqiang Qi, Xin Ma, Mei Zhang, Lu Cheng, Bolun Liang, Chujun Liu, Li Li, Ping Kafle, Om Prakash Wen, Yan Zhang, Feng Front Genet Genetics BACKGROUND: Recent study demonstrates the comprehensive effects of gut microbiota on complex diseases or traits. However, limited effort has been conducted to explore the potential relationships between gut microbiota and BMD. METHODS: We performed a polygenetic risk scoring (PRS) analysis to systematically explore the relationships between gut microbiota and body BMD. Significant SNP sets associated with gut microbiota were derived from previous genome-wide association study (GWAS). In total, 2,294 to 5,065 individuals with BMD values of different sites and their genotype data were obtained from UK Biobank cohort. The gut microbiota PRS of each individual was computed from the SNP genotype data for each study subject of UK Biobank by PLINK software. Using computed PRS as the instrumental variables of gut microbiota, Pearson correlation analysis of individual PRS values and BMD values was finally conducted to test the potential association between gut microbiota and target trait. RESULTS: In total, 31 BMD traits were selected as outcome to assess their relationships with gut microbiota. After adjusted for age, sex, body mass index, and the first 5 principal components (PCs) as the covariates using linear regression model, pelvis BMD (P = 0.0437) showed suggestive association signal with gut microbiota after multiple testing correction. CONCLUSION: Our study findings support the weak relevance of gut microbiota with the development of BMD. Frontiers Media S.A. 2020-01-31 /pmc/articles/PMC7005253/ /pubmed/32082367 http://dx.doi.org/10.3389/fgene.2020.00006 Text en Copyright © 2020 Cheng, Qi, Ma, Zhang, Cheng, Liang, Liu, Li, Kafle, Wen 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 | Genetics Cheng, Shiqiang Qi, Xin Ma, Mei Zhang, Lu Cheng, Bolun Liang, Chujun Liu, Li Li, Ping Kafle, Om Prakash Wen, Yan Zhang, Feng Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title | Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title_full | Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title_fullStr | Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title_full_unstemmed | Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title_short | Assessing the Relationship Between Gut Microbiota and Bone Mineral Density |
title_sort | assessing the relationship between gut microbiota and bone mineral density |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005253/ https://www.ncbi.nlm.nih.gov/pubmed/32082367 http://dx.doi.org/10.3389/fgene.2020.00006 |
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