The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Upregulation of c- MYC in cis through a Large Chromatin Loop Linked to a Cancer Risk-Associated Single-Nucleotide Polymorphism in Colorectal Cancer Cells
Open accessAbstract
Genome-wide association studies have mapped many single-nucleotide polymorphisms (SNPs) that are linked to cancer risk, but the mechanism by which most SNPs promote cancer remains undefined. The rs6983267 SNP at 8q24 has been associated with many cancers, yet the SNP falls 335 kb from the nearest gene, c-MYC. We show that the beta-catenin-TCF4 transcription factor complex binds preferentially to the cancer risk-associated rs6983267(G) allele in colon cancer cells. We also show that the rs6983267 SNP has enhancer-related histone marks and can form a 335-kb chromatin loop to interact with the c-MYC promoter. Finally, we show that the SNP has no effect on the efficiency of chromatin looping to the c-MYC promoter but that the cancer risk-associated SNP enhances the expression of the linked c-MYC allele. Thus, cancer risk is a direct consequence of elevated c-MYC expression from increased distal enhancer activity and not from reorganization/creation of the large chromatin loop. The findings of these studies support a mechanism for intergenic SNPs that can promote cancer through the regulation of distal genes by utilizing preexisting large chromatin loops.
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
Lessons from hereditary colorectal cancer
Kinzler, K. W., & Vogelstein, B. (1996) · Cell · doi:10.1016/s0092-8674(00)81333-1 · Cited by 4,919
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398 · cited 1×
“Enhancers are capable of regulating transcription from distal locations relative to their respective target genes, and recent ChIP studies have uncovered distinguishing histone modifications and cofactors that delineate enhancers and promoters (17, 18, 26).”
BackgroundHistone modifications at human enhancers reflect global cell-type-specific gene expression
Heintzman, N. D., Hon, G. C., Hawkins, R. D., Kheradpour, P., Stark, A., Harp, L. F., Ye, Z., Lee, L. K., Stuart, R. K., Ching, C. W., et al. (2009) · Nature · doi:10.1038/nature07829 · Cited by 2,533
Genome-wide association study identifies novel breast cancer susceptibility loci
Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D. P., Thompson, D., Ballinger, D. G., Struewing, J. P., Morrison, J., Field, H., Luben, R., et al. (2007) · Nature · doi:10.1038/nature05887 · Cited by 2,319
Looping and Interaction between Hypersensitive Sites in the Active β-globin Locus
Tolhuis, B., Palstra, R.-J., Splinter, E., Grosveld, F., & de Laat, W. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00781-5 · Cited by 1,344
the CORGI Consortium, Tomlinson, I., Webb, E., Carvajal-Carmona, L., Broderick, P., Kemp, Z., Spain, S., Penegar, S., Chandler, I., Gorman, M., et al. (2007) · Nature Genetics · doi:10.1038/ng2085 · Cited by 808
The 8q24 cancer risk variant rs6983267 shows long-range interaction with MYC in colorectal cancer
Pomerantz, M. M., Ahmadiyeh, N., Jia, L., Herman, P., Verzi, M. P., Doddapaneni, H., Beckwith, C. A., Chan, J. A., Hills, A., Davis, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.403 · Cited by 663
Widespread Monoallelic Expression on Human Autosomes
Gimelbrant, A., Hutchinson, J. N., Thompson, B. R., & Chess, A. (2007) · Science · doi:10.1126/science.1148910 · Cited by 655
Cited by
Dang, C. V. (2012) · Cell · doi:10.1016/j.cell.2012.03.003 · Cited by 3,390
The many faces and functions of β‐catenin
Valenta, T., Hausmann, G., & Basler, K. (2012) · The EMBO Journal · doi:10.1038/emboj.2012.150 · Cited by 1,598
Initiative, A. N. G., Watson, H. J., Eating Disorders Working Group of the Psychiatric Genomics Consortium, Yilmaz, Z., Thornton, L. M., Hübel, C., Coleman, J. R. I., Gaspar, H. A., Bryois, J., Hinney, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0439-2 · Cited by 1,109
Exploring the three-dimensional organization of genomes: Interpreting chromatin interaction data
Dekker, J., Marti-Renom, M. A., & Mirny, L. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3454 · Cited by 1,068
Beyond GWASs: Illuminating the Dark Road from Association to Function
Edwards, S. L., Beesley, J., French, J. D., & Dunning, A. M. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.012 · Cited by 784
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643
An Overview of MYC and Its Interactome
Conacci-Sorrell, M., McFerrin, L., & Eisenman, R. N. (2014) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a014357 · Cited by 408
Herranz, D., Ambesi-Impiombato, A., Palomero, T., Schnell, S. A., Belver, L., Wendorff, A. A., Xu, L., Castillo-Martin, M., Llobet-Navás, D., Cordon-Cardo, C., et al. (2014) · Nature Medicine · doi:10.1038/nm.3665 · Cited by 405
Ahmadiyeh, N., Pomerantz, M. M., Grisanzio, C., Herman, P., Jia, L., Almendro, V., He, H. H., Brown, M., Liu, X. S., Davis, M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910668107 · Cited by 336
Long-Range Chromatin Interactions
Dekker, J., & Misteli, T. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a019356 · Cited by 255
Barutcu, A. R., Lajoie, B. R., McCord, R. P., Tye, C. E., Hong, D., Messier, T. L., Browne, G., van Wijnen, A. J., Lian, J. B., Stein, J. L., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0768-0 · Cited by 250
Enhancer variants: evaluating functions in common disease
Corradin, O., & Scacheri, P. C. (2014) · Genome Medicine · doi:10.1186/s13073-014-0085-3 · Cited by 241
ZNF143 provides sequence specificity to secure chromatin interactions at gene promoters
Bailey, S. D., Zhang, X., Desai, K., Aid, M., Corradin, O., Cowper-Sal·lari, R., Akhtar-Zaidi, B., Scacheri, P. C., Haibe-Kains, B., & Lupien, M. (2015) · Nature Communications · doi:10.1038/ncomms7186 · Cited by 194
A promoter interaction map for cardiovascular disease genetics
Montefiori, L. E., Sobreira, D. R., Sakabe, N. J., Aneas, I., Joslin, A. C., Hansen, G. T., Bozek, G., Moskowitz, I. P., McNally, E. M., & Nóbrega, M. A. (2018) · eLife · doi:10.7554/elife.35788 · Cited by 145
Nakaoka, H., Gurumurthy, A., Hayano, T., Ahmadloo, S., Omer, W. H., Yoshihara, K., Yamamoto, A., Kurose, K., Enomoto, T., Akira, S., et al. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1005893 · Cited by 46
Noncoding RNA mutations in cancer
Zhou, H., Hao, X., Zhang, P., & He, S. (2023) · WIREs RNA · doi:10.1002/wrna.1812 · Cited by 24
Metadata
- Authors
- Wright, J. B., Brown, S. J., & Cole, M. D.
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2010-03
- Volume
- 30
- Issue
- 6
- Pages
- 1411-1420
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- OpenAlex
- W2057629607
- Cited by
- 258
- References
- 9
- FWCI
- 11.70
- 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
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.
