The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
DNA methylation in human diseases
Open accessAbstract
Even though the importance of epigenetics was first recognized in light of its role in tissue development, an increasing amount of evidence has shown that it also plays an important role in the development and progression of many common diseases. We discuss some recent findings on one representative epigenetic modification, DNA methylation, in some common diseases. While many new risk factors have been identified through the population-based epigenetic epidemiologic studies on the role of epigenetics in common diseases, this relatively new field still faces many unique challenges. Here, we describe those promises and unique challenges of epigenetic epidemiological studies and propose some potential solutions.
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Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31678-6 · Cited by 7,253
Self-citationDNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Jaenisch, R., & Bird, A. (2003) · Nature Genetics · doi:10.1038/ng1089 · Cited by 6,325
Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2
Amir, R. E., Van den Veyver, I. B., Wan, M., Tran, C. Q., Francke, U., & Zoghbi, H. Y. (1999) · Nature Genetics · doi:10.1038/13810 · Cited by 4,990
DNA methylation and its basic function
Moore, L. D., Le, T., & Fan, G. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.112 · Cited by 4,906
Orienting the causal relationship between imprecisely measured traits using GWAS summary data.
Hemani, G., Tilling, K., & Davey Smith, G. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007081 · Cited by 2,607
The contribution of de novo coding mutations to autism spectrum disorder
Iossifov, I., O’Roak, B. J., Sanders, S. J., Ronemus, M., Krumm, N., Levy, D., Stessman, H. A., Witherspoon, K. T., Vives, L., Patterson, K. E., et al. (2014) · Nature · doi:10.1038/nature13908 · Cited by 2,585
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030161 · Cited by 1,930
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Pajarillo, E., Rizor, A., Lee, J., Aschner, M., & Lee, E. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.03.002 · Cited by 478
Metadata
- Authors
- Jin, Z., & Liu, Y.
- Venue
- Genes & Diseases
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 5
- Issue
- 1
- Pages
- 1-8
- ISSN
- 2352-3042 (ISSN-L)
- OpenAlex
- W2794333713
- Cited by
- 403
- References
- 109
- FWCI
- 14.20
- Type
- journal article
- Language
- en
- Open access
- gold
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