Menu
Currency
GWAS Study

Genome-wide association study identifies host genetic variants influencing oral microbiota diversity and metabolic health.

Stankevic E, Kern T, Borisevich D et al.

38926497 PubMed ID
GWAS Study Type
610 Participants
64 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SE
Stankevic E
KT
Kern T
BD
Borisevich D
PC
Poulsen CS
MA
Madsen AL
HT
Hansen TH
JA
Jonsson A
SM
Schubert M
NN
Nygaard N
NT
Nielsen T
BD
Belstrøm D
AT
Ahluwalia TS
WD
Witte DR
GN
Grarup N
AM
Arumugam M
PO
Pedersen O
HT
Hansen T
Chapter II

Abstract

Summary of the research findings

The microbial communities of the oral cavity are important elements of oral and systemic health. With emerging evidence highlighting the heritability of oral bacterial microbiota, this study aimed to identify host genome variants that influence oral microbial traits. Using data from 16S rRNA gene amplicon sequencing, we performed genome-wide association studies with univariate and multivariate traits of the salivary microbiota from 610 unrelated adults from the Danish ADDITION-PRO cohort. We identified six single nucleotide polymorphisms (SNPs) in human genomes that showed associations with abundance of bacterial taxa at different taxonomical tiers (P < 5 × 10-8). Notably, SNP rs17793860 surpassed our study-wide significance threshold (P < 1.19 × 10-9). Additionally, rs4530093 was linked to bacterial beta diversity (P < 5 × 10-8). Out of these seven SNPs identified, six exerted effects on metabolic traits, including glycated hemoglobin A1c, triglyceride and high-density lipoprotein cholesterol levels, the risk of type 2 diabetes and stroke. Our findings highlight the impact of specific host SNPs on the composition and diversity of the oral bacterial community. Importantly, our results indicate an intricate interplay between host genetics, the oral microbiota, and metabolic health. We emphasize the need for integrative approaches considering genetic, microbial, and metabolic factors.

610 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

610
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Denmark
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.