Genome-wide methylation profiles reveal quantitative views of human aging rates. - Wikidata - awgldk - TriplyDB

Genome-wide methylation profiles reveal quantitative views of human aging rates.

Genome-wide methylation profiles reveal quantitative views of human aging rates.

http://www.wikidata.org/entity/Q34313440

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Aging of blood can be tracked by DNA methylation changes at just three CpG sites DNA methylation age of human tissues and cell types DNA methylation age of blood predicts all-cause mortality in later life Accelerated epigenetic aging in Down syndrome Aging: progressive decline in fitness due to the rising deleteriome adjusted by genetic, environmental, and stochastic processes Epigenetic Biomarkers of Preterm Birth and Its Risk Factors Epigenetic modulators, modifiers and mediators in cancer aetiology and progression When stem cells grow old: phenotypes and mechanisms of stem cell aging From genomes to societies: a holistic view of determinants of human health DNA methylation biomarkers: cancer and beyond DNA methylation and healthy human aging Review of processing and analysis methods for DNA methylation array data Hypermethylation of BDNF and SST Genes in the Orbital Frontal Cortex of Older Individuals: A Putative Mechanism for Declining Gene Expression with Age.Genome-wide epigenomic profiling for biomarker discovery An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease Aging-Induced Stem Cell Mutations as Drivers for Disease and Cancer Global DNA methylation loss associated with mercury contamination and aging in the American alligator (Alligator mississippiensis)Defining the toxicology of aging Correlation of an epigenetic mitotic clock with cancer risk Genetics of healthy aging and longevity Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring The cerebellum ages slowly according to the epigenetic clock An integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathways Biological Age Predictors.H3K4me1 marks DNA regions hypomethylated during aging in human stem and differentiated cells Novel region discovery method for Infinium 450K DNA methylation data reveals changes associated with aging in muscle and neuronal pathways.Methylomic Aging as a Window onto the Influence of Lifestyle: Tobacco and Alcohol Use Alter the Rate of Biological Aging.A meta-analysis on age-associated changes in blood DNA methylation: results from an original analysis pipeline for Infinium 450k data.Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data.Estimation of Cell-Type Composition Including T and B Cell Subtypes for Whole Blood Methylation Microarray Data.Non-negligible Occurrence of Errors in Gender Description in Public Data Sets.An epigenetic clock for gestational age at birth based on blood methylation data.Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studies Multi-tissue DNA methylation age predictor in mouse.An epigenetic aging clock for dogs and wolves.DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing 36 h fasting of young men influences adipose tissue DNA methylation of LEP and ADIPOQ in a birth weight-dependent manner.Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays Differential DNA methylation and lymphocyte proportions in a Costa Rican high longevity region.Acceleration of leukocytes' epigenetic age as an early tumor and sex-specific marker of breast and colorectal cancer.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

http://www.wikidata.org/entity/Q34313440

description

2012 nî lūn-bûn

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2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

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2012 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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type

label

Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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prefLabel

Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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J.MOLCEL.2012.10.016

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Genome-wide methylation profiles reveal quantitative views of human aging rates.

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Brandy Klotzle

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Gregory Hannum

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Guy Hughes

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Indika Rajapakse

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Jian-Bing Fan

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Justin Guinney

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Kang Zhang

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Li Zhang

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Ling Zhao

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Menzies Chen

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P2860

Sequential use of transcriptional profiling, expression quantitative trait mapping, and gene association implicates MMP20 in human kidney aging

Aging and gene expression in the primate brain

Epigenetic predictor of age

Lipoprotein genotype and conserved pathway for exceptional longevity in humans

DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

Bioconductor: open software development for computational biology and bioinformatics

Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population

MED1, a novel human methyl-CpG-binding endonuclease, interacts with DNA mismatch repair protein MLH1

Epigenetic differences arise during the lifetime of monozygotic twins

Accelerated telomere shortening in response to life stress

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359-367

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2

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49

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Marina Bibikova

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2012-11-21T00:00:00Z

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233767803

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3780611

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