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      Dataset on amelogenesis-related genes variants ( ENAM and ENAM interacting genes) and on human leukocyte antigen alleles (DQ2 and DQ8) distribution in children with and without molar-incisor hypomineralisation (MIH)

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          Abstract

          All children, who were born in 2004 and had undergone surgical treatment for recurrent acute tonsillitis and/or acute otitis media at the ear, nose and throat clinic (ENT) between 2004 and 2010, were called on dental examination and blood sampling. Out of 441 invitees, 113 children and their parents/legal guardians agreed to participate. The following data from this group of subjects are presented: the presence of clinical signs of molar–incisor hypomineralisation (MIH), the distribution of human leukocyte antigen (HLA) alleles DQ2 and DQ8 and eight single nucleotide polymorphisms (SNPs) located in amelogenesis-related genes (rs3796704 in the ENAM gene, rs546778141 in the AMBN gene, rs2106416 in the AMELX gene, rs7660807 and rs35286445 in the AMTN gene, rs4870723 in the COL14A1 gene, rs2245803 in the MMP20 gene, and rs3828054 in the  TUFT1 gene).

          Data on clinical signs of MIH were collected in accordance with the recommendation and on the proposed MIH clinical data recording sheet [1], and with appropriate preliminary training and calibration. Data on HLA DQ2 and DQ8 haplotypes and on SNPs of amelogenesis-related genes were obtained using DNA isolated from blood samples taken from subjects. The HLA DQ2 and DQ8 alleles were determined using the EliGene® Coeliac RT Kits (90,048-RT; Elisabeth Pharmacon spol. s.r.o., Brno-Židenice, Czech Republic) on a 7500 Fast RT-PCR System (Applied Biosystems, Waltham, MA, USA). The distributions of SNPs in the amelogenesis-related genes were determined using high resolution melting (HRM) using the Type-IT HRM Master Mix (Qiagen), TaqMan genotyping assays (ID: C__25766207_10; Thermo Fisher Scientific, Waltham, MA, USA) with the TaqMan Universal Master Mix II, or Sanger sequencing using sequencing master mix BigDye® Terminator v3.1 (Applied Biosystems) and ABI 3500 Genetic Analyser (Applied Biosystems).

          L. Hočevar, J. Kovač, K. Trebušak Podkrajšek, S. Battelino, A. Pavlič, 2020. The possible influence of genetic aetiological factors on molar–incisor hypomineralisation, Arch. Oral. Biol. 118, 104848. https://doi.org/10.1016/j.archoralbio.2020.104848.

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          A practical method for use in epidemiological studies on enamel hypomineralisation

          With the development of the European Academy of Paediatric Dentistry (EAPD) judgment criteria, there has been increasing interest worldwide in investigation of the prevalence of demarcated opacities in tooth enamel substance, known as molar–incisor hypomineralisation (MIH). However, the lack of a standardised system for the purpose of recording MIH data in epidemiological surveys has contributed greatly to the wide variations in the reported prevalence between studies. The present publication describes the rationale, development, and content of a scoring method for MIH diagnosis in epidemiological studies as well as clinic- and hospital-based studies. The proposed grading method allows separate classification of demarcated hypomineralisation lesions and other enamel defects identical to MIH. It yields an informative description of the severity of MIH-affected teeth in terms of the stage of visible enamel destruction and the area of tooth surface affected (i.e. lesion clinical status and extent, respectively). In order to preserve the maximum amount of information from a clinical examination consistent with the need to permit direct comparisons between prevalence studies, two forms of the charting are proposed, a short form for simple screening surveys and a long form desirable for prospective, longitudinal observational research where aetiological factors in demarcated lesions are to be investigated in tandem with lesions distribution. Validation of the grading method is required, and its reliability and usefulness need to be tested in different age groups and different populations.
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            ScreenClust: Advanced statistical software for supervised and unsupervised high resolution melting (HRM) analysis.

            High resolution melting (HRM) is an emerging new method for interrogating and characterizing DNA samples. An important aspect of this technology is data analysis. Traditional HRM curves can be difficult to interpret and the method has been criticized for lack of statistical interrogation and arbitrary interpretation of results. Here we report the basic principles and first applications of a new statistical approach to HRM analysis addressing these concerns. Our method allows automated genotyping of unknown samples coupled with formal statistical information on the likelihood, if an unknown sample is of a known genotype (by discriminant analysis or "supervised learning"). It can also determine the assortment of alleles present (by cluster analysis or "unsupervised learning") without a priori knowledge of the genotypes present. The new algorithms provide highly sensitive and specific auto-calling of genotypes from HRM data in both supervised an unsupervised analysis mode. The method is based on pure statistical interrogation of the data set with a high degree of standardization. The hypothesis-free unsupervised mode offers various possibilities for de novo HRM applications such as mutation discovery. Copyright 2010. Published by Elsevier Inc.
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              The possible influence of genetic aetiological factors on molar–incisor hypomineralisation

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                Author and article information

                Contributors
                Journal
                Data Brief
                Data Brief
                Data in Brief
                Elsevier
                2352-3409
                25 August 2020
                October 2020
                25 August 2020
                : 32
                : 106224
                Affiliations
                [a ]Department of Paediatric and Preventive Dentistry, Faculty of Medicine, University of Ljubljana, Hrvatski trg 6, Ljubljana 1000, Slovenia
                [b ]University Children's Hospital, University Medical Centre Ljubljana, Bohoričeva 20, Ljubljana, Slovenia
                [c ]Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
                [d ]Department of Otorhinolaryngology and Cervicofacial Surgery, University Medical Centre Ljubljana, Zaloška 2, Ljubljana, Slovenia
                [e ]Department of Otorhinolaryngology, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
                [f ]Department of Paediatric and Preventive Dentistry, University Medical Centre Ljubljana, Hrvatski trg 6, Ljubljana, Slovenia
                Author notes
                [* ]Corresponding author at: Department of Paediatric and Preventive Dentistry, Faculty of Medicine, University of Ljubljana, Hrvatski trg 6, Ljubljana 1000, Slovenia. alenka.pavlic@ 123456mf.uni-lj.si
                Article
                S2352-3409(20)31118-5 106224
                10.1016/j.dib.2020.106224
                7481823
                c0353739-55a3-47ef-b962-5d441c76a905
                © 2020 The Author(s). Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 30 July 2020
                : 20 August 2020
                : 21 August 2020
                Categories
                Data Article

                molar-incisor hypomineralisation,aetiology,human leukocyte antigen,the amelogenesis-related genes,single nucleotide polymorphism,mih, molar-incisor hypomineralisation,ent, ear, nose and throat clinic,hla, human leukocyte antigen,snp, single nucleotide polymorphism,hrm, high resolution melting,fpm, first permanent molar,peb, post-eruptive enamel breakdown,cadd, combined annotation dependent depletion

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