TY - JOUR
T1 - Examination of host genetic effects on nasal microbiome composition
AU - Irizar, Haritz
AU - Chun, Yoojin
AU - Arditi, Zoe
AU - Do, Anh
AU - Grishina, Galina
AU - Grishin, Alexander
AU - Vicencio, Alfin
AU - Bunyavanich, Supinda
N1 - Funding Information:
The study was supported by the National Institutes of Health (R01 AI118833). This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai .
Funding Information:
The study was supported by the National Institutes of Health (R01 AI118833). This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai.
Publisher Copyright:
© 2022 American Academy of Allergy, Asthma & Immunology
PY - 2022/11
Y1 - 2022/11
N2 - Background: Genetic predisposition increases risk for asthma, and distinct nasal microbial compositions are associated with asthma. Host genetics might shape nasal microbiome composition. Objective: We examined associations between host genetics and nasal microbiome composition. Methods: Nasal samples were collected from 584 participants from the Mount Sinai Health System, New York. Seventy-seven follow-up samples were collected from a subset of 40 participants. 16S rRNA sequencing and RNA sequencing were performed on nasal samples. Beta diversity was calculated, variant calling on RNA sequencing data was performed, and genetic relatedness between individuals was determined. Using linear regression models, we tested for associations between genetic relatedness and nasal microbiome composition. Results: The median age of the cohort was 14.6 (interquartile range 11.2-19.5) years, with participants representing diverse ancestries and 52.7% of the cohort being female. For participants who provided follow-up samples, the median time between samples was 5.1 (interquartile range 1.4-7.2) months. Nasal microbiome composition similarity as reflected by beta diversity was significantly higher within subjects over time versus between subjects (coefficient = 0.091, P = 2.84−7). There was no significant association between genetic relatedness and beta diversity (coefficient = −0.05, P = .29). Additional analyses exploring the relationship between beta diversity and genetic variance yielded similar results. Conclusion: Host genetics has little influence on nasal microbiome composition.
AB - Background: Genetic predisposition increases risk for asthma, and distinct nasal microbial compositions are associated with asthma. Host genetics might shape nasal microbiome composition. Objective: We examined associations between host genetics and nasal microbiome composition. Methods: Nasal samples were collected from 584 participants from the Mount Sinai Health System, New York. Seventy-seven follow-up samples were collected from a subset of 40 participants. 16S rRNA sequencing and RNA sequencing were performed on nasal samples. Beta diversity was calculated, variant calling on RNA sequencing data was performed, and genetic relatedness between individuals was determined. Using linear regression models, we tested for associations between genetic relatedness and nasal microbiome composition. Results: The median age of the cohort was 14.6 (interquartile range 11.2-19.5) years, with participants representing diverse ancestries and 52.7% of the cohort being female. For participants who provided follow-up samples, the median time between samples was 5.1 (interquartile range 1.4-7.2) months. Nasal microbiome composition similarity as reflected by beta diversity was significantly higher within subjects over time versus between subjects (coefficient = 0.091, P = 2.84−7). There was no significant association between genetic relatedness and beta diversity (coefficient = −0.05, P = .29). Additional analyses exploring the relationship between beta diversity and genetic variance yielded similar results. Conclusion: Host genetics has little influence on nasal microbiome composition.
KW - Nasal microbiome
KW - beta diversity
KW - genetic relatedness
KW - heritability
KW - host genetics
UR - http://www.scopus.com/inward/record.url?scp=85134829482&partnerID=8YFLogxK
U2 - 10.1016/j.jaci.2022.06.004
DO - 10.1016/j.jaci.2022.06.004
M3 - Article
C2 - 35718139
AN - SCOPUS:85134829482
SN - 0091-6749
VL - 150
SP - 1232
EP - 1236
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
IS - 5
ER -