Evidence map›Paper›PMID 34622142›Full record

ArticleJournal of dentistry and dental medicine2020

Gene-Based Association Mapping for Dental Caries in The GENEVA Consortium.

Yueyao Wang, Dipankar Bandyopadhyay, John R Shaffer, Xiaowei Wu

Open access · greenAbstract read
In one paragraph

Article in Journal of dentistry and dental medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Yueyao WangDepartment of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA.
Dipankar BandyopadhyayDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA.
John R ShafferDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA.
Xiaowei WuDepartment of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA.
Virginia Tech · USUniversity of Pittsburgh · USVirginia Commonwealth University · US

Funding

Supplement: Spatiotemporal models for periodontal disease monitoring and recall frequenciesR01DE024984 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, REICH, BRIAN J. · 2015 to 2017
$1.2M
NIDCR NIH HHS R01 DE024984
6 · The paper itself

Abstract

objectiveDental caries is a multifactorial disease with high prevalence in both children and adults. Recent genome-wide association studies (GWASs) have revealed that genetic factors play an important role in caries incidence. However, existing methods are not sufficient to identify caries-associated genes, due to the complex correlation structure of caries GWAS data, and lack of appropriate summarization at the gene level. This paper attempts to address that by analyzing data from the Gene, Environment Association Studies (GENEVA) consortium.

methodsWe investigated gene-based genetic associations for dental caries based on genome-wide data derived from the GENEVA database, with adjustment to covariates, linkage disequilibrium among single-nucleotide polymorphisms, and family relations, in sampled individuals.

resultsSeveral suggestive genes were identified, in which some of them have been previously found to have potential biological functions on cariogenesis.

conclusionsBy comparing the gene sets identified from gene-based and SNP-based association testing methods, we found a non-negligible overlap, which indicates that our gene-based analysis can provide substantial supplement to the traditional GWAS analysis.

Indexed as

Adaptive-Weight Burden TestDental CariesGENEVA consortiumGWAS

Identifiers

PMID34622142
PMCPMC8494074
OpenAlexW3203603517

What Socratic 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 Socratic graph.