Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease

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-p...

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Bibliographic Details
Published in:Respiratory research 2024-04, Vol.25 (1), p.165-18, Article 165
Main Authors: Gao, Jingyuan, Yang, Yuqiong, Xiang, Xiaopeng, Zheng, Huimin, Yi, Xinzhu, Wang, Fengyan, Liang, Zhenyu, Chen, Dandan, Shi, Weijuan, Wang, Lingwei, Wu, Di, Feng, Shengchuan, Huang, Qiaoyun, Li, Xueping, Shu, Wensheng, Chen, Rongchang, Zhong, Nanshan, Wang, Zhang
Format: Article
Language:English
Subjects:
Adaptor Proteins, Signal Transducing - genetics
Airway microbiome
Analysis
Care and treatment
Composition
COPD
Diagnosis
Genetic aspects
Genetic variation
GWAS
Human Genetics
Humans
Lung diseases, Obstructive
Mendelian randomization
Microbiome-host genetic interaction
Microbiota (Symbiotic organisms)
Microbiota - genetics
Pulmonary Disease, Chronic Obstructive - complications
Pulmonary Disease, Chronic Obstructive - diagnosis
Pulmonary Disease, Chronic Obstructive - genetics
Single nucleotide polymorphisms
Sputum
Transcriptome
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Summary: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 
ISSN:1465-993X
1465-9921
1465-993X
DOI:10.1186/s12931-024-02805-2