[PDF] EWAS Data Hub: a resource of DNA methylation array data and metadata | Semantic Scholar (2024)

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@article{Xiong2019EWASDH, title={EWAS Data Hub: a resource of DNA methylation array data and metadata}, author={Zhuang Xiong and Mengwei Li Campbell and Fei Yang and Yingke Ma and Jian Sang and Rujiao Li and Zhaohua Li and Zhang Zhang and Yīm{\'i}ng B{\`a}o}, journal={Nucleic Acids Research}, year={2019}, volume={48}, pages={D890 - D895}, url={https://api.semanticscholar.org/CorpusID:203659735}}
  • Zhuang Xiong, M. Campbell, Yīmíng Bào
  • Published in Nucleic Acids Res. 4 October 2019
  • Biology, Computer Science
  • Nucleic Acids Research

This work presents EWAS Data Hub, a resource for collecting and normalizing DNA methylation array data as well as archiving associated metadata that bears great promise to aid the retrieval and discovery of methylation-based biomarkers for phenotype characterization, clinical treatment and health care.

57 Citations

Highly Influential Citations

4

Background Citations

16

Methods Citations

16

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Topics

EWAS Data Hub (opens in a new tab)EWAS Atlas (opens in a new tab)Epigenome-wide Association Studies (opens in a new tab)Metadata (opens in a new tab)Batch Effects (opens in a new tab)DNA Methylation (opens in a new tab)

57 Citations

EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study
    Zhuang XiongFei Yang Yīmíng Bào

    Computer Science, Biology

    Nucleic Acids Res.

  • 2022

Collectively, EWAS Open Platform provides open access to EWAS knowledge, data and toolkit and thus bears great utility for a broader range of relevant research.

scMethBank: a database for single-cell whole genome DNA methylation maps
    Wenting ZongHongen Kang Rujiao Li

    Biology, Computer Science

    Nucleic Acids Res.

  • 2022

Abstract Single-cell bisulfite sequencing methods are widely used to assess epigenomic heterogeneity in cell states. Over the past few years, large amounts of data have been generated and facilitated

Human methylome variation across Infinium 450K data on the Gene Expression Omnibus
    Sean K. MadenReid F. ThompsonK. HansenAbhinav Nellore

    Biology, Medicine

    bioRxiv

  • 2020

Analysis of DNA methylation array samples found approximately two-thirds of samples were from blood, one-quarter were from brain, and one-third were from cancer patients; signal distributions across samples suggest modifying manufacturer-recommended thresholds for failure would make these assessments more informative.

  • 12
  • PDF
Evaluation of cross-platform compatibility of a DNA methylation-based glucocorticoid response biomarker
    Emily TangJ. Wiencke A. Molinaro

    Medicine, Biology

    Clinical Epigenetics

  • 2022

An algorithm is developed that reproduces the DNA methylation glucocorticoid response score using 450K data, increasing the accessibility for researchers to assess this biomarker in archived or publicly available datasets that use the 450K version of the Illumina BeadChip array.

  • 2
  • PDF
mLiftOver: harmonizing data across Infinium DNA methylation platforms
    Brian H. ChenWanding Zhou

    Computer Science, Biology

    bioRxiv

  • 2024

This work validated the tool by applying HM450-based cancer classifiers to EPICv2 cancer data, achieving high accuracy, and successfully integrated EPICv2 healthy tissue data with legacy HM450 data for tissue identity analysis and produced consistent copy number profiles in cancer cells.

  • 1
  • PDF
Connecting the epigenome, metabolome and proteome for a deeper understanding of disease
    K. SuhreS. Zaghlool

    Medicine, Biology

    Journal of internal medicine

  • 2021

The association of DNA methylation of the AHRR and F2RL3 genes with smoking and a protein that is involved in the reprogramming of the bronchial epithelium show that associations between DNA methylated traits can open new windows into how the body copes with physiological challenges.

  • 6
  • PDF
CanMethdb: a database for genome-wide DNA methylation annotation in cancers
    Jianmei ZhaoFengcui Qian Chunquan Li

    Biology, Medicine

    Bioinform.

  • 2023

CanMethdb might help biologists perform in-depth studies of target gene regulations based on DNA methylations in cancer, computed through integrating abundant DNA methylation and gene expression profiles in diverse cancers.

  • PDF
Integrative multi-omic analysis identifies genetically influenced DNA methylation biomarkers for breast and prostate cancers
    A. SathyanarayananH. M. TanhaD. MehtaD. Nyholt

    Medicine, Biology

    Communications Biology

  • 2022

Methylome-wide association studies identify genetically-influenced CpGs associated with breast and prostate cancer risk and (epi)genome-transcriptome mechanistic relationships, with lipid metabolism genes implicated as potential therapeutic targets.

  • 2
  • PDF
The SEQC2 Epigenomics Quality Control (EpiQC) Study: Comprehensive Characterization of Epigenetic Methods, Reproducibility, and Quantification
    J. FooxJ. Nordlund C. Mason

    Biology, Medicine

    bioRxiv

  • 2020

A multi-platform assessment and a global resource for epigenetics research from the FDA’s Epigenomics Quality Control (EpiQC) Group is presented and can guide continued used of these reference materials in epigenomics assays, as well as provide best practices for epigenomics research and experimental design in future studies.

  • 2
  • Highly Influenced
  • PDF
Author Correction: The SEQC2 epigenomics quality control (EpiQC) study
    J. FooxJ. Nordlund Christopher E. Mason

    Medicine, Biology

    Genome biology

  • 2021

Overall high concordance between assays is found, but also differences in efficiency of read mapping, CpG capture, coverage, and platform performance, and variable performance across 26 microarray normalization algorithms are found.

  • 1
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41 References

EWAS Atlas: a curated knowledgebase of epigenome-wide association studies
    M. CampbellD. Zou Zhang Zhang

    Biology, Computer Science

    Nucleic Acids Res.

  • 2019

Abstract Epigenome-Wide Association Study (EWAS) has become increasingly significant in identifying the associations between epigenetic variations and different biological traits. In this study, we

  • 178
  • Highly Influential
  • [PDF]
EWASdb: epigenome-wide association study database
    Di LiuLinna Zhao Yongshuai Jiang

    Biology, Computer Science

    Nucleic Acids Res.

  • 2019

The first comprehensive EWAS database, EWASdb has been searched or downloaded by researchers from 43 countries to date and will become a valuable resource and significantly contribute to the epigenetic research of diseases/phenotypes and have potential clinical applications.

MethylomeDB: a database of DNA methylation profiles of the brain
    Yurong XinB. Chanrion F. Haghighi

    Biology, Medicine

    Nucleic Acids Res.

  • 2012

The first source of comprehensive brain methylome data, encompassing whole-genome DNA methylation profiles of human and mouse brain specimens that facilitate cross-species comparative epigenomic investigations, as well as investigations of schizophrenia and depression methylomes is provided.

MethyCancer: the database of human DNA methylation and cancer
    Ximiao HeSuhua Chang Jing Wang

    Biology, Medicine

    Nucleic Acids Res.

  • 2008

To study interplay of DNA methylation, gene expression and cancer, a publicly accessible database for human DNA Methylation and Cancer is developed and a powerful search tool is developed to provide user-friendly access to all the data and data connections.

DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database
    Y. XiongYanjun Wei Yan Zhang

    Biology, Computer Science

    Nucleic Acids Res.

  • 2017

The human disease methylation database (DiseaseMeth, http://bioinfo.hrbmu.edu.cn/diseasemeth/) is an interactive database that aims to present the most complete collection and annotation of aberrant

Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome
    J. SandovalH. Heyn M. Esteller

    Biology, Medicine

    Epigenetics

  • 2011

It is demonstrated that the 450K DNA methylation array can consistently and significantly detect CpG methylation changes in the H CT-116 colorectal cancer cell line in comparison with normal colon mucosa or HCT-116 cells with defective DNA methyltransferases (DKO).

  • 967
  • PDF
Batch Effects and Pathway Analysis: Two Potential Perils in Cancer Studies Involving DNA Methylation Array Analysis
    K. HarperB. PetersM. Gamble

    Biology, Environmental Science

  • 2013

Evidence is presented that chip-specific effects can simulate plausible differential methylation results and popular pathway analysis software developed for expression arrays can yield spurious results when used in tandem with methylation microarrays.

  • 76
  • PDF
MethHC: a database of DNA methylation and gene expression in human cancer
    Wei-Yun HuangSheng-Da Hsu Hsien-Da Huang

    Medicine, Biology

    Nucleic Acids Res.

  • 2015

MethHC is presented, a database comprising a systematic integration of a large collection of DNA methylation data and mRNA/microRNA expression profiles in human cancer, which includes 18 human cancers in more than 6000 samples, 6548 microarrays and 12 567 RNA sequencing data.

MethBank 3.0: a database of DNA methylomes across a variety of species
    Rujiao LiFang Liang Zhang Zhang

    Biology, Computer Science

    Nucleic Acids Res.

  • 2018

An updated implementation of MethBank is presented by incorporating more DNA methylomes from multiple species and equipping with more enhanced functionalities for data annotation and more friendly web interfaces for data presentation, search and visualization.

A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies
    B. LehneA. Drong J. Chambers

    Biology, Medicine

    Genome Biology

  • 2015

A comprehensive analysis pipeline for epigenome-wide association studies (EWAS) using the Illumina Infinium HumanMethylation450 BeadChip is developed, enabling accurate identification of methylation quantitative trait loci for hypothesis driven follow-up experiments.

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    [PDF] EWAS Data Hub: a resource of DNA methylation array data and metadata | Semantic Scholar (2024)

    FAQs

    What is DNA methylation array? ›

    Methylation arrays enable quantitative interrogation of selected methylation sites across the genome, offering high-throughput capabilities that minimize the cost per sample. Array-based methylation studies can provide valuable insights into the regulation of gene expression.

    What is the database for methylation? ›

    MethDB - the database for DNA methylation and environmental epigenetic effects. Contact our help desk for technical support and data submission. Proceed with search to send a query to MethDB. The people behind MethDB and server statistics.

    What is genome wide DNA methylation? ›

    DNA methylation is an epigenetic modification that plays an important role in regulating gene expression and therefore a broad range of biological processes and diseases.

    How does DNA methylation affect epigenetics? ›

    DNA methylation is a universal epigenetic mechanism that suppresses gene expression in various ways and is involved in the regulation of the activity of the other two mechanisms mentioned above: histone modification and gene expression regulation by non-coding RNAs.

    Is DNA methylation good or bad? ›

    DNA methylation is essential for silencing retroviral elements, regulating tissue-specific gene expression, genomic imprinting, and X chromosome inactivation. Importantly, DNA methylation in different genomic regions may exert different influences on gene activities based on the underlying genetic sequence.

    How does DNA methylation affect the body? ›

    Typically, methylation turns genes off and demethylation turns genes on. Thus, environmental factors can impact the amount of protein a cell makes. Less protein might be made if an environmental factor causes an increase in DNA methylation, and more protein might be made if a factor causes an increase in demethylation.

    What is the most common DNA methylation in humans? ›

    In mammals, DNA methylation occurs at cytosines in any context of the genome. However, more than 98% of DNA methylation occurs in a CpG dinucleotide context in somatic cells, while as much as a quarter of all methylation appears in a non-CpG context in embryonic stem cells (ESCs).

    Which vitamins are methylation agents? ›

    Additional research found that choline, betaine, folate, vitamin B12, and other B vitamins are methyl donors and co-factors that contribute to DNA methylation. The researchers suggest these nutrients may help prevent cancer and other pathological conditions.

    What drugs target DNA methylation? ›

    Two nucleoside inhibitors of DNA methylation, azacitidine and decitabine, are now standard of care for the treatment of the myelodysplastic syndrome, a deadly form of leukemia.

    What does DNA methylation testing tell you? ›

    DNA methylation analysis allows scientists to gain valuable insight into gene regulation and identify potential biomarkers. Aberrant DNA methylation has been implicated in many disease processes, including cancer, obesity, and addiction.

    What is DNA methylation in disease? ›

    DNA methylation errors occur in several diseases including cancer, syndromes caused by imprinting errors (Prader-Willi, and Angelman syndromes), Fragile X syndrome and ICF syndrome [105]. Among these, the role of DNA methylation in cancer has been extensively studied.

    How to analyze DNA methylation? ›

    Currently, there are three primary methods to identify and quantify DNA methylation. These are: sodium bisulfite conversion and sequencing, differential enzymatic cleavage of DNA, and affinity capture of methylated DNA (1). Restriction enzyme based differential cleavage of methylated DNA is locus-specific.

    What alters DNA methylation? ›

    Methylation changes can occur due to the loss of maintenance of methylation marks by the DNMT enzymes during cell division (passive demethylation) or by active removal of methylation marks by the TET enzymes (active demethylation). DNMT dysfunction has been linked to oxidative stress and environmental exposures.

    What are the diseases caused by epigenetics? ›

    Epigenetic changes are responsible for human diseases, including Fragile X syndrome, Angelman's syndrome, Prader-Willi syndrome, and various cancers.

    Can DNA methylation be reversed? ›

    Thus, contrary to the commonly accepted model, DNA methylation is a reversible signal, similar to other physiological biochemical modifications.

    What is DNA methylation in simple terms? ›

    A chemical reaction in the body in which a small molecule called a methyl group gets added to DNA, proteins, or other molecules. The addition of methyl groups can affect how some molecules act in the body. For example, methylation of the DNA sequence of a gene may turn the gene off so it does not make a protein.

    What does DNA methylation measure? ›

    DNA methylation analysis allows scientists to gain valuable insight into gene regulation and identify potential biomarkers. Aberrant DNA methylation has been implicated in many disease processes, including cancer, obesity, and addiction.

    What is DNA methylation in pregnancy? ›

    DNA methylation has been shown to play a key role in regulating genes involved in metabolic adaptation during pregnancy, and aberrant DNA methylation has been demonstrated during pregnancy complications such as pre-eclampsia, hypertension, GDM, early pregnancy loss and preterm birth (24–27).

    How does DNA methylation affect the brain? ›

    Abstract. DNA cytosine methylation is a principal epigenetic mechanism underlying transcription during development and aging. Growing evidence suggests that DNA methylation plays a critical role in brain function, including neurogenesis, neuronal differentiation, synaptogenesis, learning, and memory.

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