Evidence map›Paper›PMID 41403351›Full record

ArticleJournal of periodontology2026

Genome-wide association study of periodontitis severity and progression.

Flavia Teles, Ganesh Chandrasekaran, Lynn Martin, Poojan Shrestha, Kevin Moss, Michele Patel, Michael J Kallan, Camila Furquim, Andrew J Cucchiara, James D Beck and 3 more

Abstract read
In one paragraph

Article in Journal of periodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Flavia TelesDepartment of Basic & Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6945-9811
Ganesh ChandrasekaranDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0009-0008-6161-6921
Lynn MartinDepartment of Basic & Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Poojan ShresthaDepartment of Pediatric Dentistry and Dental Public Health, Adams School of Dentistry, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-1604-082X
Kevin MossDepartment of Biostatistics and Health Data Sciences, School of Medicine, Indiana University, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0003-2332-1774
Michele PatelThe Forsyth Institute, Cambridge, Massachusetts, USA.
Michael J KallanCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Camila FurquimDepartment of Basic & Translational Sciences, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-9370-3156
Andrew J CucchiaraCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-4004-3895
James D BeckDepartment of Periodontology, Endodontics, and Dental Hygiene, Adams School of Dentistry, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0001-5415-8311
Kari E NorthBorder Health Research Center, School of Public Health, UTHealth Houston, Brownsville, Texas, USA.ORCID https://orcid.org/0000-0002-8903-0366
Joseph GlessnerChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-5131-2811
Kimon DivarisDepartment of Pediatric Dentistry and Dental Public Health, Adams School of Dentistry, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-1290-7251

Funding

National Center for Advancing Translational Sciences, National Institutes of Health UL1TR001878National Council for Scientific and Technological Development of the Ministry of Science, Technology and Innovation, Brazil 200154/2022-2National Institute of Dental and Craniofacial Research, National Institutes of Health R01DE033033National Institute of Dental and Craniofacial Research, National Institutes of Health U01DE021127University of Pennsylvania Schoenleber Pilot
6 · The paper itself

Abstract

backgroundTo add to the knowledge base of periodontal genomics, we carried out a genome-wide association study (GWAS) of periodontitis severity and progression among 416 mixed-ethnicity adult participants of a periodontitis clinical study.

methodsParticipants were 168 adults (mean age = 50 years, 46% males) with severe periodontitis and 248 adults (mean age = 48 years, 40% males) without severe periodontitis, including 147 with mild periodontitis and 101 periodontally healthy. Disease progression information over a 12-month period was available for 368 of these participants. Single marker discovery analysis relied on logistic regression models adjusted for age, sex, and genetically determined ancestry using a conventional p < 5x10

resultsAll GWAS single nucleotide polymorphisms (SNPs) explained 34% of phenotypic variance between periodontitis cases and controls and 57% of the variance in disease progression in this study. We identified 2 genome-wide significant loci associated with disease progression (SUMO2P2, small ubiquitin-like modifier 2, rs72691774, p = 1.9x10

conclusionsThis study's results emanate from a well-characterized cohort of periodontitis severity and progression and add to the knowledge base of periodontal genomics and the underlying individual disease susceptibility. PLAIN LANGUAGE SUMMARY: This study assessed the association of gene variants in association with gum disease severity and progression in 416 participants of a clinical study. Participants were 168 adults (mean age = 50 years, 46% males) with severe disease and 248 adults (mean age = 48 years, 40% males) without severe disease, including 147 with mild disease and 101 without disease. Disease progression information over a 12-month period was available for 368 of these participants. Single marker discovery analysis relied on logistic regression models adjusted for age, sex, and genetically determined ancestry. Genome-wide significant loci were annotated and examined for associations with periodontal disease traits in external cohorts of 10,019 Hispanic/Latinos, 4,554 European Americans, and 973 African Americans. All gene variants explained 34% of the variance between cases and controls and 57% of the variance in disease progression in this study. We identified 2 genome-wide significant loci associated with disease progression (SUMO2P2 and CUBN). CUBN was strongly associated with periodontal disease in the independent samples of African Americans and Hispanic/Latinos. ZBTB16 showed the strongest evidence of association with severe periodontitis. This study's results emanate from a well-characterized cohort of periodontitis severity and progression, suggest that about one-third of variance in disease severity and over half of variance in disease progression are attributable to individual susceptibility, and add to the knowledge base of periodontal genomics.

Indexed as

Genome-Wide Association StudyPeriodontitisAdultAgedBlack or African AmericanCase-Control StudiesCohort StudiesDisease ProgressionFemaleGenetic Predisposition to DiseaseHispanic or LatinoHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideSmall Ubiquitin-Related Modifier Proteinsdisease progressiongenesgenome‐wide association studyperiodontitisphenotypepolymorphism, single nucleotidesusceptibility

Identifiers

PMID41403351
PMCPMC13001132

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