Evidence map›Paper›PMID 28836939›Full record

ArticleBMC genomics2017

Genetic influences on the human oral microbiome.

Brittany A Demmitt, Robin P Corley, Brooke M Huibregtse, Matthew C Keller, John K Hewitt, Matthew B McQueen, Rob Knight, Ivy McDermott, Kenneth S Krauter

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 101 citations in OpenAlex.

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  9. Microbial dysbiosis in oral cavity determines obesity status in adolescents.Cellular and molecular life sciences : CMLS · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Brittany A DemmittDepartment of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, 80304, USA.
Robin P CorleyInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Brooke M HuibregtseInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Matthew C KellerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
John K HewittInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Matthew B McQueenInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Rob KnightUC San Diego Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, 92093, USA.
Ivy McDermottDepartment of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, 80304, USA.
Kenneth S KrauterDepartment of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, 80304, USA. Kenneth.Krauter@colorado.edu.
University of Colorado Boulder · USUniversity of California, San Diego · US

Funding

Twin StudyP60DA011015 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HEWITT, JOHN K. · 1997 to 2013
$22.5M
MOLECULAR BIOLOGYT32GM007135 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI KRAUTER, KENNETH S · 1985 to 2012
$5.7M
Research Training-Genetics of Substance AbuseT32DA017637 · NIDA · UNIVERSITY OF COLORADO AT BOULDER · PI STITZEL, JERRY A · 2004 to 2023
$5.3M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
RESEARCH TRAINING: DEVELOPMENTAL BEHAVIORAL GENETICST32HD007289 · NICHD · UNIVERSITY OF COLORADO AT BOULDER · PI STALLINGS, MICHAEL CRAIG · 1985 to 2014
$3.1M
Social Demographic Moderation of Genome Wide Associations for Body Mass IndexR01HD060726 · NICHD · UNIVERSITY OF COLORADO · PI BOARDMAN, JASON D, MCQUEEN, MATTHEW B · 2010 to 2014
$2.7M
NICHD NIH HHS P2C HD066613NICHD NIH HHS R01 HD060726NICHD NIH HHS T32 HD007289NIDA NIH HHS P60 DA011015NIDA NIH HHS T32 DA017637NIGMS NIH HHS T32 GM007135
6 · The paper itself

Abstract

backgroundThe human oral microbiome is formed early in development. Its composition is influenced by environmental factors including diet, substance use, oral health, and overall health and disease. The influence of human genes on the composition and stability of the oral microbiome is still poorly understood. We studied both environmental and genetic characteristics on the oral microbiome in a large twin sample as well as in a large cohort of unrelated individuals. We identify several significantly heritable features of the oral microbiome. The heritability persists in twins even when their cohabitation changes. The heritability of these traits correlates with the cumulative genetic contributions of over half a million single nucleotide sequence variants measured in a different population of unrelated individuals. Comparison of same-sex and opposite sex cotwins showed no significant differences. We show that two new loci on chromosomes 7 and 12 are associated with the most heritable traits.

resultsAn analysis of 752 twin pairs from the Colorado Twin Registry, shows that the beta-diversity of monozygotic twins is significantly lower than for dizygotic or unrelated individuals. This is independent of cohabitation status. Intraclass correlation coefficients of nearly all taxa examined were higher for MZ than DZ twin pairs. A comparison of individuals sampled over 2-7 years confirmed previous reports that the oral microbiome remains relatively more stable in individuals over that time than to unrelated people. Twin modeling shows that a number of microbiome phenotypes were more than 50% heritable consistent with the hypothesis that human genes influence microbial populations. To identify loci that could influence microbiome phenotypes, we carried out an unbiased GWAS analysis which identified one locus on chromosome 7 near the gene IMMPL2 that reached genome-wide significance after correcting for multiple testing. Another locus on chromosome 12 near the non-coding RNA gene INHBA-AS1 achieved genome-wide significance when analyzed using KGG4 that sums SNP significance across coding genes. DISCUSSION: Using multiple methods, we have demonstrated that some aspects of the human oral microbiome are heritable and that with a relatively small sample we were able to identify two previously unidentified loci that may be involved.

Indexed as

Chromosomes, HumanFemaleGenetic LociGenome-Wide Association StudyGenomicsHumansMaleMicrobiotaMouthPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID28836939
PMCPMC5571580
OpenAlexW2747054199

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.