https://transhumanist.ru/index.php?action=history&feed=atom&title=CLCN6 2026-06-20T23:55:54Z История изменений этой страницы в вики MediaWiki 1.43.6 https://transhumanist.ru/index.php?title=CLCN6&diff=6222&oldid=prev 2021-05-12T15:17:47Z

<p>Новая страница: «Chloride transport protein 6 (Chloride channel protein 6) (ClC-6) [KIAA0046] ==Publications== {{medline-entry |title=DNA methylation levels at individual age-as...»</p> <p><b>Новая страница</b></p><div>Chloride transport protein 6 (Chloride channel protein 6) (ClC-6) [KIAA0046]<br /> <br /> ==Publications==<br /> <br /> {{medline-entry<br /> |title=DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy.<br /> |pubmed-url=https://pubmed.ncbi.nlm.nih.gov/26928272<br /> |abstract=DNA-methylation (DNAm) levels at age-associated CpG sites can be combined into epigenetic aging signatures to estimate donor age. It has been demonstrated that the difference between such epigenetic age-predictions and chronological age is indicative for of all-cause mortality in later life. In this study, we tested alternative epigenetic signatures and followed the hypothesis that even individual age-associated CpG sites might be indicative for life-expectancy. Using a 99-CpG aging model, a five-year higher age-prediction was associated with 11% greater mortality risk in DNAm profiles of the Lothian Birth Cohort 1921 study. However, models based on three CpGs, or even individual CpGs, generally revealed very high offsets in age-predictions if applied to independent microarray datasets. On the other hand, we demonstrate that DNAm levels at several individual age-associated CpGs seem to be associated with life expectancy - e.g., at CpGs associated with the genesPDE4C and [[CLCN6]]. Our results support the notion that small aging signatures should rather be analysed by more quantitative methods, such as site-specific pyrosequencing, as the precision of age-predictions is rather low on independent microarray datasets. Nevertheless, the results hold the perspective that simple epigenetic biomarkers, based on few or individual age-associated CpGs, could assist the estimation of biological age. <br /> |mesh-terms=* Aged<br /> * Aging<br /> * CpG Islands<br /> * DNA Methylation<br /> * Epigenesis, Genetic<br /> * Female<br /> * Humans<br /> * Life Expectancy<br /> * Male<br /> * Proportional Hazards Models<br /> |keywords=* CLCN6<br /> * DNA-methylation<br /> * PDE4C<br /> * age<br /> * aging<br /> * epigenetic<br /> * mortality<br /> * prediction<br /> * predictor<br /> * survival<br /> |full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4789590<br /> }}</div>

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