Evidence map›Paper›PMID 37034481›Full record

ArticleFrontiers in dental medicine2022

Integration of multimodal data in the developing tooth reveals candidate regulatory loci driving human odontogenic phenotypes.

Emma Wentworth Winchester, Alexis Hardy, Justin Cotney

Open access · goldAbstract read
In one paragraph

Article in Frontiers in dental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Emma Wentworth WinchesterDMD/PhD Program, University of Connecticut School of Dental Medicine, Farmington, CT, United States.
Alexis HardyMaster of Genetics Program, Paris Diderot University, Paris, France.
Justin CotneyDepartment of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, United States.
University of Connecticut · USDélégation Paris 7 · FR

Funding

Skeletal, Craniofacial and Oral Biology Training GrantT90DE021989 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI MINA, MINA · 2011 to 2022
$4.5M
Unraveling mechanisms of genome regulation to understand and improvehuman healthR35GM119465 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COTNEY, JUSTIN LEE · 2016 to 2025
$3.9M
Skeletal, Craniofacial and Oral Biology Training GrantT90DE033006 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI FRANK C NICHOLS · 2023 to 2026
$2.0M
Functional characterization of craniofacial enhancers at single cell and single base pair resolutionR01DE028945 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COTNEY, JUSTIN LEE · 2019 to 2023
$1.9M
Integrated multi-omics analyses of early mammalian craniofacial developmentR03DE028588 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI COTNEY, JUSTIN LEE · 2020 to 2021
$328k
Uncovering Caries Risk in the Noncoding Genome of the Developing ToothF30DE031149 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI WINCHESTER, EMMA WENTWORTH · 2021 to 2023
$139k
NIDCR NIH HHS F30 DE031149NIDCR NIH HHS R01 DE028945NIDCR NIH HHS R03 DE028588NIDCR NIH HHS T90 DE021989NIDCR NIH HHS T90 DE033006NIGMS NIH HHS R35 GM119465
6 · The paper itself

Abstract

Human odontogenic aberrations such as abnormal tooth number and delayed tooth eruption can occur as a symptom of rare syndromes or, more commonly, as nonsyndromic phenotypes. These phenotypes can require extensive and expensive dental treatment, posing a significant burden. While many dental phenotypes are heritable, most nonsyndromic cases have not been linked to causal genes. We demonstrate the novel finding that common sequence variants associated with human odontogenic phenotypes are enriched in developmental craniofacial enhancers conserved between human and mouse. However, the bulk nature of these samples obscures if this finding is due to the tooth itself or the surrounding tissues. We therefore sought to identify enhancers specifically active in the tooth anlagen and quantify their contribution to the observed genetic enrichments. We systematically identified 22,001 conserved enhancers active in E13.5 mouse incisors using ChIP-seq and machine learning pipelines and demonstrated biologically relevant enrichments in putative target genes, transcription factor binding motifs, and in vivo activity. Multi-tissue comparisons of human and mouse enhancers revealed that these putative tooth enhancers had the strongest enrichment of odontogenic phenotype-associated variants, suggesting a role for dysregulation of tooth developmental enhancers in human dental phenotypes. The large number of these regions genome-wide necessitated prioritization of enhancer loci for future investigations. As enhancers modulate gene expression, we prioritized regions based on enhancers' putative target genes. We predicted these target genes and prioritized loci by integrating chromatin state, bulk gene expression and coexpression, GWAS variants, and cell type resolved gene expression to generate a prioritized list of putative odontogenic phenotype-driving loci active in the developing tooth. These genomic regions are of particular interest for downstream experiments determining the role of specific dental enhancer:gene pairs in odontogenesis.

Indexed as

chromatin regulationenhancer activationgene regulation and expressionmultiomic analysisodontogenesissingle cell RNA analysis

Identifiers

PMID37034481
PMCPMC10078798
OpenAlexW4310984301

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.