Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/110626
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | - |
| dc.creator | Gao, J | - |
| dc.creator | Yang, Y | - |
| dc.creator | Xiang, X | - |
| dc.creator | Zheng, H | - |
| dc.creator | Yi, X | - |
| dc.creator | Wang, F | - |
| dc.creator | Liang, Z | - |
| dc.creator | Chen, D | - |
| dc.creator | Shi, W | - |
| dc.creator | Wang, L | - |
| dc.creator | Wu, D | - |
| dc.creator | Feng, S | - |
| dc.creator | Huang, Q | - |
| dc.creator | Li, X | - |
| dc.creator | Shu, W | - |
| dc.creator | Chen, R | - |
| dc.creator | Zhong, N | - |
| dc.creator | Wang, Z | - |
| dc.date.accessioned | 2024-12-27T06:27:08Z | - |
| dc.date.available | 2024-12-27T06:27:08Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/110626 | - |
| dc.language.iso | en | en_US |
| dc.publisher | BioMed Central Ltd. | en_US |
| dc.rights | © The Author(s) 2024. 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 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/. The Creative Commons Public Domain Dedication waiver (http://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. | en_US |
| dc.rights | The following publication Gao, J., Yang, Y., Xiang, X. et al. Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease. Respir Res 25, 165 (2024) is available at https://doi.org/10.1186/s12931-024-02805-2. | en_US |
| dc.subject | Airway microbiome | en_US |
| dc.subject | COPD | en_US |
| dc.subject | GWAS | en_US |
| dc.subject | Mendelian randomization | en_US |
| dc.subject | Microbiome-host genetic interaction | en_US |
| dc.title | Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 25 | - |
| dc.identifier.doi | 10.1186/s12931-024-02805-2 | - |
| dcterms.abstract | Little is known about the relationships between human genetics and the airway microbiome. Deeply sequenced airway metagenomics, by simultaneously characterizing the microbiome and host genetics, provide a unique opportunity to assess the microbiome-host genetic associations. Here we performed a co-profiling of microbiome and host genetics with the identification of over 5 million single nucleotide polymorphisms (SNPs) through deep metagenomic sequencing in sputum of 99 chronic obstructive pulmonary disease (COPD) and 36 healthy individuals. Host genetic variation was the most significant factor associated with the microbiome except for geography and disease status, with its top 5 principal components accounting for 12.11% of the microbiome variability. Within COPD individuals, 113 SNPs mapped to candidate genes reported as genetically associated with COPD exhibited associations with 29 microbial species and 48 functional modules (P < 1 × 10−5), where Streptococcus salivarius exhibits the strongest association to SNP rs6917641 in TBC1D32 (P = 9.54 × 10−8). Integration of concurrent host transcriptomic data identified correlations between the expression of host genes and their genetically-linked microbiome features, including NUDT1, MAD1L1 and Veillonella parvula, TTLL9 and Stenotrophomonas maltophilia, and LTA4H and Haemophilus influenzae. Mendelian randomization analyses revealed a potential causal link between PARK7 expression and microbial type III secretion system, and a genetically-mediated association between COPD and increased relative abundance of airway Streptococcus intermedius. These results suggest a previously underappreciated role of host genetics in shaping the airway microbiome and provide fresh hypotheses for genetic-based host-microbiome interactions in COPD. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Respiratory research, 2024, v. 25, 165 | - |
| dcterms.isPartOf | Respiratory research | - |
| dcterms.issued | 2024 | - |
| dc.identifier.scopus | 2-s2.0-85190428394 | - |
| dc.identifier.pmid | 38622589 | - |
| dc.identifier.eissn | 1465-993X | - |
| dc.identifier.artn | 165 | - |
| dc.description.validate | 202412 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Key R&D Program of China; National Natural Science Foundation of China; Medical Scientific Research Foundation of Guangdong Province | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s12931-024-02805-2.pdf | 3.38 MB | Adobe PDF | View/Open |
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