Evidence map›Paper›PMID 36611863›Full record

SynthesisCells2022

Genome- and Transcriptome-Wide Association Studies Identify Susceptibility Genes and Pathways for Periodontitis.

Guirong Zhu, Xing Cui, Liwen Fan, Yongchu Pan, Lin Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
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

5 authors at 1 institution in 1 country.

Guirong ZhuDepartment of Orthodontics, The Affiliated Stomatology Hospital of Nanjing Medical University, Nanjing 210029, China.ORCID 0000-0002-9923-3482
Xing CuiDepartment of Orthodontics, The Affiliated Stomatology Hospital of Nanjing Medical University, Nanjing 210029, China.
Liwen FanDepartment of Orthodontics, The Affiliated Stomatology Hospital of Nanjing Medical University, Nanjing 210029, China.
Yongchu PanDepartment of Orthodontics, The Affiliated Stomatology Hospital of Nanjing Medical University, Nanjing 210029, China.
Lin WangDepartment of Orthodontics, The Affiliated Stomatology Hospital of Nanjing Medical University, Nanjing 210029, China.
Stomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several genes associated with periodontitis have been identified through genome-wide association studies (GWAS); however, known genes only explain a minority of the estimated heritability. We aimed to explore more susceptibility genes and the underlying mechanisms of periodontitis. Firstly, a genome-wide meta-analysis of 38,532 patients and 316,185 healthy controls was performed. Then, cross- and single-tissue transcriptome-wide association studies (TWAS) were conducted based on GWAS summary statistics and the Genotype-Tissue Expression (GTEx) project. Risk genes were evaluated to determine if they were differentially expressed in periodontitis sites compared with unaffected sites using public datasets. Finally, gene co-expression network analysis was conducted to identify the functional biology of the susceptible genes. A total of eight single nucleotide polymorphisms (SNPs) within the introns of lncRNA

Indexed as

Genome-Wide Association StudyTranscriptomeGene Expression ProfilingHumansQuantitative Trait Locigenome-wide association study (GWAS)periodontitistranscriptome-wide association study (TWAS)

Identifiers

PMID36611863
PMCPMC9818314
OpenAlexW4313247329

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.