The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Epigenetic profiling of somatic tissues from human autopsy specimens identifies tissue- and individual-specific DNA methylation patterns
Open accessAbstract
DNA methylation is known to be associated with cell differentiation, aging, disease and cancer. There exists an expanding base of knowledge regarding tissue-specific DNA methylation, but we have little information about person-specific DNA methylation. Here, we analyze the DNA methylation patterns of multiple tissues from multiple individuals using a high-throughput quantitative assay of genome-wide DNA methylation, namely the Illumina GoldenGate BeadArray. DNA methylation patterns were largely conserved across 11 different tissues (r = 0.852) and across six individuals (r = 0.829), and we found that DNA was highly methylated in non-CpG islands and/or CpG sites that are not occupied by either H3K4me3 or H3K27me3 (P < 0.05). Finally, we found that the Illumina GoldenGate assay features a large number of probes (265/1505 probes, 17.6%) that contain single-nucleotide polymorphisms, which may interfere with DNA methylation analyses in genome-wide studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Genome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536
Phenotypic plasticity and the epigenetics of human disease
Feinberg, A. P. (2007) · Nature · doi:10.1038/nature05919 · Cited by 1,613
Whole-Genome Analysis of Histone H3 Lysine 4 and Lysine 27 Methylation in Human Embryonic Stem Cells
Pan, G., Tian, S., Nie, J., Yang, C., Ruotti, V., Wei, H., Jonsdottir, G. A., Stewart, R., & Thomson, J. A. (2007) · Cell Stem Cell · doi:10.1016/j.stem.2007.08.003 · Cited by 711
Cited by
DNA methylation and healthy human aging
Jones, M. J., Goodman, S. J., & Kobor, M. S. (2015) · Aging Cell · doi:10.1111/acel.12349 · Cited by 928
Low-level processing of Illumina Infinium DNA Methylation BeadArrays
Triche, T. J., Weisenberger, D. J., Van Den Berg, D., Laird, P. W., & Siegmund, K. D. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt090 · Cited by 905
Self-citationDistinct DNA methylomes of newborns and centenarians
Heyn, H., Li, N., Ferreira, H. J., Moran, S., Pisano, D. G., Gomez, A., Diez, J., Sanchez-Mut, J. V., Setien, F., Carmona, F. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120658109 · Cited by 802
Zhou, W., Laird, P. W., & Shen, H. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw967 · Cited by 760
Self-citationEvaluation of the Infinium Methylation 450K technology
Dedeurwaerder, S., Defrance, M., Calonne, E., Denis, H., Sotiriou, C., & Fuks, F. (2011) · Epigenomics · doi:10.2217/epi.11.105 · Cited by 569
Metadata
- Authors
- Byun, H.-M., Siegmund, K. D., Pan, F., Weisenberger, D. J., Kanel, G., Laird, P. W., & Yang, A. S.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-09-23
- Volume
- 18
- Issue
- 24
- Pages
- 4808-4817
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- OpenAlex
- W2103673123
- Cited by
- 254
- References
- 4
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Epigenetic profiling of somatic tissues from human autopsy specimens identifies tissue- and individual-specific DNA methylation patterns. https://app.cochat.ai/papers/10.1093/hmg/ddp445
- The paper
- Byun, H.-M., Siegmund, K. D., Pan, F., Weisenberger, D. J., Kanel, G., Laird, P. W., & Yang, A. S. (2009). Epigenetic profiling of somatic tissues from human autopsy specimens identifies tissue- and individual-specific DNA methylation patterns. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddp445
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
