 Epigenomics
"Epigenomics" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The systematic study of the global gene expression changes due to EPIGENETIC PROCESSES and not due to DNA base sequence changes.
| Descriptor ID |
D057890
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| MeSH Number(s) |
H01.158.273.180.350.074 H01.158.273.343.350.042
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Epigenomics".
Below are MeSH descriptors whose meaning is more specific than "Epigenomics".
This graph shows the total number of publications written about "Epigenomics" by people in this website by year, and whether "Epigenomics" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2013 | 1 | 0 | 1 | | 2015 | 2 | 0 | 2 | | 2017 | 1 | 1 | 2 | | 2020 | 2 | 0 | 2 | | 2021 | 0 | 3 | 3 |
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Below are the most recent publications written about "Epigenomics" by people in Profiles.
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Ma Y, Yu L, Olah M, Smith R, Oatman SR, Allen M, Pishva E, Zhang B, Menon V, Ertekin-Taner N, Lunnon K, Bennett DA, Klein HU, De Jager PL. Epigenomic features related to microglia are associated with attenuated effect of APOE e4 on Alzheimer's disease risk in humans. Alzheimers Dement. 2022 04; 18(4):688-699.
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Huang Y, Sun X, Jiang H, Yu S, Robins C, Armstrong MJ, Li R, Mei Z, Shi X, Gerasimov ES, De Jager PL, Bennett DA, Wingo AP, Jin P, Wingo TS, Qin ZS. A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer's disease. Nat Commun. 2021 07 22; 12(1):4472.
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Grodstein F, Lemos B, Yu L, Klein HU, Iatrou A, Buchman AS, Shireby GL, Mill J, Schneider JA, De Jager PL, Bennett DA. The association of epigenetic clocks in brain tissue with brain pathologies and common aging phenotypes. Neurobiol Dis. 2021 09; 157:105428.
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Ma Y, Yu L, Olah M, Smith R, Oatman SR, Allen M, Pishva E, Zhang B, Menon V, Ertekin-Taner N, Lunnon K, Bennett DA, Klein HU, De Jager PL. EPIGENOMIC FEATURES RELATED TO MICROGLIA ARE ASSOCIATED WITH ATTENUATED EFFECT OF APOE e4 ON ALZHEIMER'S DISEASE RISK IN HUMANS. Alzheimers Dement. 2020 12; 16(Suppl 2).
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Klein HU, Schäfer M, Bennett DA, Schwender H, De Jager PL. Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks. PLoS Comput Biol. 2020 04; 16(4):e1007771.
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Ng B, White CC, Klein HU, Sieberts SK, McCabe C, Patrick E, Xu J, Yu L, Gaiteri C, Bennett DA, Mostafavi S, De Jager PL. An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome. Nat Neurosci. 2017 Oct; 20(10):1418-1426.
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Tasaki S, Suzuki K, Nishikawa A, Kassai Y, Takiguchi M, Kurisu R, Okuzono Y, Miyazaki T, Takeshita M, Yoshimoto K, Yasuoka H, Yamaoka K, Ikeura K, Tsunoda K, Morita R, Yoshimura A, Toyoshiba H, Takeuchi T. Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren's syndrome. Ann Rheum Dis. 2017 Aug; 76(8):1458-1466.
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Li Y, Melnikov AA, Levenson V, Guerra E, Simeone P, Alberti S, Deng Y. A seven-gene CpG-island methylation panel predicts breast cancer progression. BMC Cancer. 2015 May 19; 15:417.
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Jung M, Kadam S, Xiong W, Rauch TA, Jin SG, Pfeifer GP. MIRA-seq for DNA methylation analysis of CpG islands. Epigenomics. 2015 Aug; 7(5):695-706.
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De Jager PL, Bennett DA. An inflection point in gene discovery efforts for neurodegenerative diseases: from syndromic diagnoses toward endophenotypes and the epigenome. JAMA Neurol. 2013 Jun; 70(6):719-26.
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