Evidence map›Paper›PMID 22243262›Full record

ArticleEuropean journal of oral sciences2011

Target gene analyses of 39 amelogenesis imperfecta kindreds.

Hui-Chen Chan, Ninna M R P Estrella, Rachel N Milkovich, Jung-Wook Kim, James P Simmer, Jan C-C Hu

Open access · bronzeAbstract read
In one paragraph

Article in European journal of oral sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  12. Identification of a NovelChildren (Basel, Switzerland) · 2022
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  14. Review
  15. Journal of dental research · 2021
    Article
  16. Article
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  19. Article
  20. The Enamel Phenotype in Homozygous Fam83h Truncation Mice.Molecular genetics & genomic medicine · 2019
    Article
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 at 2 institutions in 2 countries.

Hui-Chen ChanDepartment of Biologic and Materials Sciences, University of Michigan School of Dentistry, Ann Arbor, MI 48108, USA.
Ninna M R P Estrella
Rachel N Milkovich
Jung-Wook Kim
James P Simmer
Jan C-C Hu
University of Michigan · USSeoul National University Dental Hospital · KR

Funding

Proteomics and Genetics of Enamel and DentinR01DE015846 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HU, JAN CHING CHUN · 2004 to 2019
$5.7M
Genetic Mechanisms of Amelogenesis ImperfectaR56DE015846 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HU, JAN CHING CHUN · 2021 to 2021
$402k
NIDCR NIH HHS DE015846NIDCR NIH HHS R01 DE015846NIDCR NIH HHS R56 DE015846
6 · The paper itself

Abstract

Previously, mutational analyses identified six disease-causing mutations in 24 amelogenesis imperfecta (AI) kindreds. We have since expanded the number of AI kindreds to 39, and performed mutation analyses covering the coding exons and adjoining intron sequences for the six proven AI candidate genes [amelogenin (AMELX), enamelin (ENAM), family with sequence similarity 83, member H (FAM83H), WD repeat containing domain 72 (WDR72), enamelysin (MMP20), and kallikrein-related peptidase 4 (KLK4)] and for ameloblastin (AMBN) (a suspected candidate gene). All four of the X-linked AI families (100%) had disease-causing mutations in AMELX, suggesting that AMELX is the only gene involved in the aetiology of X-linked AI. Eighteen families showed an autosomal-dominant pattern of inheritance. Disease-causing mutations were identified in 12 (67%): eight in FAM83H, and four in ENAM. No FAM83H coding-region or splice-junction mutations were identified in three probands with autosomal-dominant hypocalcification AI (ADHCAI), suggesting that a second gene may contribute to the aetiology of ADHCAI. Six families showed an autosomal-recessive pattern of inheritance, and disease-causing mutations were identified in three (50%): two in MMP20, and one in WDR72. No disease-causing mutations were found in 11 families with only one affected member. We conclude that mutation analyses of the current candidate genes for AI have about a 50% chance of identifying the disease-causing mutation in a given kindred.

Indexed as

Amelogenesis ImperfectaAmelogeninChildChild, PreschoolChromosomes, Human, XDental Enamel ProteinsDNA Mutational AnalysisFemaleGenes, DominantGenes, RecessiveHumansInheritance PatternsKallikreinsMaleMatrix Metalloproteinase 20MutationAMBN protein, humanAmelogeninDental Enamel Proteinskallikrein 4KallikreinsMatrix Metalloproteinase 20ProteinstuftelinWDR72 protein, human

Identifiers

PMID22243262
PMCPMC3292789
OpenAlexW2164409939

What OpenQuestion holds

Textmetadata
LicenceTDM
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.