Evidence map›Paper›PMID 37745851›Full record

ArticleFrontiers in genetics2023

Identification of potential key variants in mandibular premolar hypodontia through whole-exome sequencing.

Shinyeop Lee, Hyunsoo Ahn, Hyeonhye Kim, Kwanghwan Lee, Sanguk Kim, Jae Hoon Lee

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Shinyeop Lee *Department of Prosthodontics, College of Dentistry, Yonsei University, Seoul, Republic of Korea.
Hyunsoo Ahn *Graduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang, Republic of Korea.
Hyeonhye KimTufts University School of Medicine, Boston, MA, United States.
Kwanghwan LeeDepartment of Life Sciences, Pohang University of Science and Technology, Pohang, Republic of Korea.
Sanguk KimGraduate School of Artificial Intelligence, Pohang University of Science and Technology, Pohang, Republic of Korea.
Jae Hoon LeeDepartment of Prosthodontics, College of Dentistry, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining genotype-phenotype correlations in patients with hypodontia is important for understanding disease pathogenesis, although only a few studies have elucidated it. We aimed to identify genetic variants linked to non-syndromic bilateral mandibular second premolar hypodontia in a Korean population for the first time by specifying the phenotype of hypodontia. Twenty unrelated individuals with non-syndromic bilateral mandibular second premolar hypodontia were enrolled for whole-exome sequencing. Using a tooth agenesis gene set panel consisting of 112 genes based on literature, potential candidate variants were screened through variant filtering and prioritization. We identified 13 candidate variants in 12 genes, including a stop-gain variant (c.4750C>T) in

Indexed as

bioinformaticsextracellular matrixgenetic association studiesgenotype-phenotype correlationhypodontia

Identifiers

PMID37745851
PMCPMC10514915

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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.