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GWAS Study

Metagenome-genome-wide association studies reveal human genetic impact on the oral microbiome.

Liu X, Tong X, Zhu J et al.

34873157 PubMed ID
GWAS Study Type
3350 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LX
Liu X
TX
Tong X
ZJ
Zhu J
TL
Tian L
JZ
Jie Z
ZY
Zou Y
LX
Lin X
LH
Liang H
LW
Li W
JY
Ju Y
QY
Qin Y
ZL
Zou L
LH
Lu H
ZS
Zhu S
JX
Jin X
XX
Xu X
YH
Yang H
WJ
Wang J
ZY
Zong Y
LW
Liu W
HY
Hou Y
JH
Jia H
ZT
Zhang T
Chapter II

Abstract

Summary of the research findings

The oral microbiota contains billions of microbial cells, which could contribute to diseases in many body sites. Challenged by eating, drinking, and dental hygiene on a daily basis, the oral microbiota is regarded as highly dynamic. Here, we report significant human genomic associations with the oral metagenome from more than 1915 individuals, for both the tongue dorsum (n = 2017) and saliva (n = 1915). We identified five genetic loci associated with oral microbiota at study-wide significance (p < 3.16 × 10-11). Four of the five associations were well replicated in an independent cohort of 1439 individuals: rs1196764 at APPL2 with Prevotella jejuni, Oribacterium uSGB 3339 and Solobacterium uSGB 315; rs3775944 at the serum uric acid transporter SLC2A9 with Oribacterium uSGB 1215, Oribacterium uSGB 489 and Lachnoanaerobaculum umeaense; rs4911713 near OR11H1 with species F0422 uSGB 392; and rs36186689 at LOC105371703 with Eggerthia. Further analyses confirmed 84% (386/455 for tongue dorsum) and 85% (391/466 for saliva) of host genome-microbiome associations including six genome-wide significant associations mutually validated between the two niches. As many of the oral microbiome-associated genetic variants lie near miRNA genes, we tentatively validated the potential of host miRNAs to modulate the growth of specific oral bacteria. Human genetics accounted for at least 10% of oral microbiome compositions between individuals. Machine learning models showed that polygenetic risk scores dominated over oral microbiome in predicting risk of dental diseases such as dental calculus and gingival bleeding. These findings indicate that human genetic differences are one explanation for a stable or recurrent oral microbiome in each individual.

2,017 Chinese ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

3350
Total Participants
GWAS
Study Type
Yes
Replicated
1,333 East Asian ancestry individuals
Replication Participants
East Asian
Ancestry
China
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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