Evidence map›Paper›PMID 39240858›Full record

SynthesisPloS one2024

Genome-wide association studies on periodontitis: A systematic review.

Chenyi Gao, Mark Iles, Harriet Larvin, David Timothy Bishop, David Bunce, Mark Ide, Fanyiwen Sun, Susan Pavitt, Jianhua Wu, Jing Kang

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  6. Article
  7. Association of theInternational journal of molecular sciences · 2026
    Article
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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

10 authors.

Chenyi GaoSchool of Dentistry, University of Leeds, Leeds, United Kingdom.
Mark IlesSchool of Medicine, University of Leeds, Leeds, United Kingdom.
Harriet LarvinWolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom.
David Timothy BishopLeeds Institute of Medical Research, School of Medicine, University of Leeds, Leeds, United Kingdom.
David BunceSchool of Psychology, University of Leeds, Leeds, United Kingdom.
Mark IdeCentre for Host Microbial Interactions, Faculty of Dentistry Oral and Craniofacial Sciences, King's College London, London, United Kingdom.
Fanyiwen SunSchool of Medicine, University of Leeds, Leeds, United Kingdom.
Susan PavittSchool of Dentistry, University of Leeds, Leeds, United Kingdom.
Jianhua WuWolfson Institute of Population Health, Queen Mary, University of London, London, United Kingdom.ORCID 0000-0001-6093-599X
Jing KangOral Clinical Research Unit, Faculty of Dentistry Oral and Craniofacial Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-2770-1099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to systematically review the existing literature and critically appraise the evidence of genome-wide association studies (GWAS) on periodontitis. This study also aims to synthesise the findings of genetic risk variants of periodontitis from included GWAS.

methodsA systematic search was conducted on PubMed, GWAS Catalog, MEDLINE, GLOBAL HEALTH and EMBASE via Ovid for GWAS on periodontitis. Only studies exploring single-nucleotide polymorphisms(SNPs) associated with periodontitis were eligible for inclusion. The quality of the GWAS was assessed using the Q-genie tool. Information such as study population, ethnicity, genomic data source, phenotypic characteristics(definition of periodontitis), and GWAS methods(quality control, analysis stages) were extracted. SNPs that reached conventional or suggestive GWAS significance level(5e-8 or 5e-06) were extracted and synthesized.

resultsA total of 15 good-quality GWAS on periodontitis were included (Q-genie scores ranged from 38-50). There were huge heterogeneities among studies. There were 11 identified risk SNPs (rs242016, rs242014, rs10491972, rs242002, rs2978951, rs2738058, rs4284742, rs729876, rs149133391, rs1537415, rs12461706) at conventional GWAS significant level (p<5x10-8), and 41 at suggestive level (p<5x10-6), but no common SNPs were found between studies. Three SNPs (rs4284742 [G], rs11084095 [A], rs12461706 [T]) from three large studies were from the same gene region-SIGLEC5.

conclusionGWAS of periodontitis showed high heterogeneity of methodology used and provided limited SNPs statistics, making identifying reliable risk SNPs challenging. A clear guidance in dental research with requirement of expectation to make GWAS statistics available to other investigators are needed.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPeriodontitisPolymorphism, Single NucleotideHumans

Identifiers

PMID39240858
PMCPMC11379206

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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.