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Table 4 Association between the abundance of indoor microbial species and wheeze, rhinitis and rhinoconjunctivitis in high schools in Shanxi, China. The β coefficient and 95% confidence interval (CI) were calculated by 3-level logistic regression models adjusted for gender, smoking and parental asthma and allergy. Regression analyses for wheeze and rhinitis were conducted for species differentially present in urban and rural schools (LDA > 2) and mean relative abundance > 0.05%; and thus, 117 species were analyzed. Regression analyses for rhinoconjunctivitis were only conducted for 21 species that were potentially associated with rhinitis (p < 0.05). Only associations with p < 0.01 are presented in this table. The false discovery rate (FDR) was calculated by the Benjamini-Hochberg (BH) procedure. “uc” means uncharacterized

From: Indoor bacterial, fungal and viral species and functional genes in urban and rural schools in Shanxi Province, China–association with asthma, rhinitis and rhinoconjunctivitis in high school students

Symptoms Domain/kingdom Class Species Relative abundance (%) β (95% CI) p value FDR
Urban Rural
Wheeze Bacteria Gammaproteobacteria uc Pseudoalteromonas 0.08 0.05 0.11 (0.03, 0.19) 0.008 0.16
Rhinitis Bacteria Actinobacteria Brachybacterium sp. P6-10-X1 1.36 2.75 − 0.12 (− 0.21, − 0.03) 0.009 0.17
Betaproteobacteria uc Betaproteobacteria 0.10 0.08 0.08 (0.03, 0.13) 0.002 0.08
Gammaproteobacteria uc Pseudoalteromonas 0.08 0.05 0.06 (0.03, 0.10) < 0.001 < 0.01
Protista Conoidasida Neospora caninum 0.09 0.01 0.03 (0.01, 0.04) 0.002 0.08
Rhinoconjunctivitis Bacteria Flavobacteriia uc Flavobacteriaceae 0.20 0.31 − 0.29 (− 0.51, − 0.07) 0.009 0.09
Actinobacteria Microbacterium foliorum 0.08 0.06 0.14 (0.04, 0.24) 0.006 0.09