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      Non-coding 886 ( nc886/ vtRNA2-1), the epigenetic odd duck – implications for future studies

      review-article
      a , b , c , a , a , c , d
      Epigenetics
      Taylor & Francis
      nc886, vtRNA2–1, epigenetics, DNA methylation, non-coding RNA

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          ABSTRACT

          Non-coding 886 ( nc886, vtRNA2–1) is the only human polymorphically imprinted gene, in which the methylation status is not determined by genetics. Existing literature regarding the establishment, stability and consequences of the methylation pattern, as well as the nature and function of the nc886 RNAs transcribed from the locus, are contradictory. For example, the methylation status of the locus has been reported to be stable through life and across somatic tissues, but also susceptible to environmental effects. The nature of the produced nc886 RNA(s) has been redefined multiple times, and in carcinogenesis, these RNAs have been reported to have conflicting roles. In addition, due to the bimodal methylation pattern of the nc886 locus, traditional genome-wide methylation analyses can lead to false-positive results, especially in smaller datasets. Herein, we aim to summarize the existing literature regarding nc886, discuss how the characteristics of nc886 give rise to contradictory results, as well as to reinterpret, reanalyse and, where possible, replicate the results presented in the current literature. We also introduce novel findings on how the distribution of the nc886 methylation pattern is associated with the geographical origins of the population and describe the methylation changes in a large variety of human tumours. Through the example of this one peculiar genetic locus and RNA, we aim to highlight issues in the analysis of DNA methylation and non-coding RNAs in general and offer our suggestions for what should be taken into consideration in future analyses.

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          Most cited references135

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          Functions of DNA methylation: islands, start sites, gene bodies and beyond.

          DNA methylation is frequently described as a 'silencing' epigenetic mark, and indeed this function of 5-methylcytosine was originally proposed in the 1970s. Now, thanks to improved genome-scale mapping of methylation, we can evaluate DNA methylation in different genomic contexts: transcriptional start sites with or without CpG islands, in gene bodies, at regulatory elements and at repeat sequences. The emerging picture is that the function of DNA methylation seems to vary with context, and the relationship between DNA methylation and transcription is more nuanced than we realized at first. Improving our understanding of the functions of DNA methylation is necessary for interpreting changes in this mark that are observed in diseases such as cancer.
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            Genome-wide methylation profiles reveal quantitative views of human aging rates.

            The ability to measure human aging from molecular profiles has practical implications in many fields, including disease prevention and treatment, forensics, and extension of life. Although chronological age has been linked to changes in DNA methylation, the methylome has not yet been used to measure and compare human aging rates. Here, we build a quantitative model of aging using measurements at more than 450,000 CpG markers from the whole blood of 656 human individuals, aged 19 to 101. This model measures the rate at which an individual's methylome ages, which we show is impacted by gender and genetic variants. We also show that differences in aging rates help explain epigenetic drift and are reflected in the transcriptome. Moreover, we show how our aging model is upheld in other human tissues and reveals an advanced aging rate in tumor tissue. Our model highlights specific components of the aging process and provides a quantitative readout for studying the role of methylation in age-related disease. Copyright © 2013 Elsevier Inc. All rights reserved.
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              The Missing Diversity in Human Genetic Studies

              The majority of studies of genetic association with disease have been performed in Europeans. This European bias has important implications for risk prediction of diseases across global populations. In this commentary, we justify the need to study more diverse populations using both empirical examples and theoretical reasoning.
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                Author and article information

                Journal
                Epigenetics
                Epigenetics
                Epigenetics
                Taylor & Francis
                1559-2294
                1559-2308
                25 March 2024
                2024
                25 March 2024
                : 19
                : 1
                : 2332819
                Affiliations
                [a ]Molecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University; , Tampere, Finland
                [b ]Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University; , Tampere, Finland
                [c ]Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital; , Tampere, Finland
                [d ]Gerontology Research Center, Tampere University; , Tampere, Finland
                Author notes
                CONTACT Emma Raitoharju emma.raitoharju@ 123456tuni.fi Molecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, Tampere 33520, Finland
                Author information
                https://orcid.org/0000-0002-7023-8706
                https://orcid.org/0000-0002-0497-3577
                https://orcid.org/0000-0003-3071-3784
                Article
                2332819
                10.1080/15592294.2024.2332819
                10965113
                38525792
                c71467b9-87e6-4b95-996a-5d37763a96f5
                © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 5, References: 135, Pages: 1
                Categories
                Review Article
                Review

                Genetics
                nc886,vtrna2–1,epigenetics,dna methylation,non-coding rna
                Genetics
                nc886, vtrna2–1, epigenetics, dna methylation, non-coding rna

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