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Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density

Osteoporosis is a common complex human disease. Until now, large-scale genome-wide association studies (GWAS) using single genetic variant have reported some novel osteoporosis susceptibility variants. However, these risk variants only explain a small proportion of osteoporosis genetic risk, and mos...

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Autores principales: Liu, Xiaodong, Zhang, Yiwei, Tian, Jun, Gao, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077504/
https://www.ncbi.nlm.nih.gov/pubmed/32211016
http://dx.doi.org/10.3389/fgene.2020.00004
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author Liu, Xiaodong
Zhang, Yiwei
Tian, Jun
Gao, Feng
author_facet Liu, Xiaodong
Zhang, Yiwei
Tian, Jun
Gao, Feng
author_sort Liu, Xiaodong
collection PubMed
description Osteoporosis is a common complex human disease. Until now, large-scale genome-wide association studies (GWAS) using single genetic variant have reported some novel osteoporosis susceptibility variants. However, these risk variants only explain a small proportion of osteoporosis genetic risk, and most genetic risk is largely unknown. Interestingly, the pathway analysis method has been used in investigation of osteoporosis mechanisms and reported some novel pathways. Until now, it remains unclear whether there are other risk pathways involved in BMD. Here, we selected a lip BMD GWAS with 301,019 SNPs in 5,858 Europeans, and conducted a gene-based analysis (SET SCREEN TEST) and a pathway-based analysis (WebGestalt). On the gene level, BMD susceptibility genes reported by previous GWAS were identified to be the top 10 significant signals. On the pathway level, we identified 27 significant KEGG pathways. Three immune pathways including T cell receptor signaling pathway (hsa04660), complement and coagulation cascades (hsa04610), and intestinal immune network for IgA production (hsa04672) are ranked the top three significant signals. Evidence from the PubMed and Google Scholar databases further supports our findings. In summary, our findings provide complementary information to these nine risk pathways.
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spelling pubmed-70775042020-03-24 Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density Liu, Xiaodong Zhang, Yiwei Tian, Jun Gao, Feng Front Genet Genetics Osteoporosis is a common complex human disease. Until now, large-scale genome-wide association studies (GWAS) using single genetic variant have reported some novel osteoporosis susceptibility variants. However, these risk variants only explain a small proportion of osteoporosis genetic risk, and most genetic risk is largely unknown. Interestingly, the pathway analysis method has been used in investigation of osteoporosis mechanisms and reported some novel pathways. Until now, it remains unclear whether there are other risk pathways involved in BMD. Here, we selected a lip BMD GWAS with 301,019 SNPs in 5,858 Europeans, and conducted a gene-based analysis (SET SCREEN TEST) and a pathway-based analysis (WebGestalt). On the gene level, BMD susceptibility genes reported by previous GWAS were identified to be the top 10 significant signals. On the pathway level, we identified 27 significant KEGG pathways. Three immune pathways including T cell receptor signaling pathway (hsa04660), complement and coagulation cascades (hsa04610), and intestinal immune network for IgA production (hsa04672) are ranked the top three significant signals. Evidence from the PubMed and Google Scholar databases further supports our findings. In summary, our findings provide complementary information to these nine risk pathways. Frontiers Media S.A. 2020-03-10 /pmc/articles/PMC7077504/ /pubmed/32211016 http://dx.doi.org/10.3389/fgene.2020.00004 Text en Copyright © 2020 Liu, Zhang, Tian and Gao 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
Liu, Xiaodong
Zhang, Yiwei
Tian, Jun
Gao, Feng
Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title_full Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title_fullStr Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title_full_unstemmed Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title_short Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density
title_sort analyzing genome-wide association study dataset highlights immune pathways in lip bone mineral density
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077504/
https://www.ncbi.nlm.nih.gov/pubmed/32211016
http://dx.doi.org/10.3389/fgene.2020.00004
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