Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 379

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression

Open access
Cunnington, Michael S., Santibanez Koref, Mauro, Mayosi, Bongani M., Burn, John, Keavney, Bernard·2010·PLoS Genetics

Abstract

Single nucleotide polymorphisms (SNPs) on chromosome 9p21 are associated with coronary artery disease, diabetes, and multiple cancers. Risk SNPs are mainly non-coding, suggesting that they influence expression and may act in cis. We examined the association between 56 SNPs in this region and peripheral blood expression of the three nearest genes CDKN2A, CDKN2B, and ANRIL using total and allelic expression in two populations of healthy volunteers: 177 British Caucasians and 310 mixed-ancestry South Africans. Total expression of the three genes was correlated (P<0.05), suggesting that they are co-regulated. SNP associations mapped by allelic and total expression were similar (r = 0.97, P = 4.8x10(-99)), but the power to detect effects was greater for allelic expression. The proportion of expression variance attributable to cis-acting effects was 8% for CDKN2A, 5% for CDKN2B, and 20% for ANRIL. SNP associations were similar in the two populations (r = 0.94, P = 10(-72)). Multiple SNPs were independently associated with expression of each gene (P<0.05 after correction for multiple testing), suggesting that several sites may modulate disease susceptibility. Individual SNPs correlated with changes in expression up to 1.4-fold for CDKN2A, 1.3-fold for CDKN2B, and 2-fold for ANRIL. Risk SNPs for coronary disease, stroke, diabetes, melanoma, and glioma were all associated with allelic expression of ANRIL (all P<0.05 after correction for multiple testing), while association with the other two genes was only detectable for some risk SNPs. SNPs had an inverse effect on ANRIL and CDKN2B expression, supporting a role of antisense transcription in CDKN2B regulation. Our study suggests that modulation of ANRIL expression mediates susceptibility to several important human diseases.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pgen.1000899

Cites

20 of 20 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 20 references

Research works printed but not linked: 57

  1. A Gschwendtner, 2009, Sequence variants on chromosome 9p21.3 confer risk for atherosclerotic stroke., Annals of Neurology, 65, 531, 10.1002/ana.21590 · DOI
  2. M Matarin, 2008, Whole Genome Analyses Suggest Ischemic Stroke and Heart Disease Share an Association With Polymorphisms on Chromosome 9p21., Stroke, 39, 1586, 10.1161/STROKEAHA.107.502963 · DOI
  3. A Helgadottir, 2008, The same sequence variant on 9p21 associates with myocardial infarction, abdominal aortic aneurysm and intracranial aneurysm., Nat Genet, 40, 217, 10.1038/ng.72 · DOI · Paper page
  4. S Shete, 2009, Genome-wide association study identifies five susceptibility loci for glioma., Nat Genet, 41, 899, 10.1038/ng.407 · DOI · Paper page
  5. M Wrensch, 2009, Variants in the CDKN2B and RTEL1 regions are associated with high-grade glioma susceptibility., Nat Genet, 41, 905, 10.1038/ng.408 · DOI
  6. DT Bishop, 2009, Genome-wide association study identifies three loci associated with melanoma risk., Nat Genet, 41, 920, 10.1038/ng.411 · DOI · Paper page
  7. T Debniak, 2005, A common variant of CDKN2A (p16) predisposes to breast cancer., J Med Genet, 42, 763, 10.1136/jmg.2005.031476 · DOI
  8. KE Driver, 2008, Association of single-nucleotide polymorphisms in the cell cycle genes with breast cancer in the British population., Carcinogenesis, 29, 333, 10.1093/carcin/bgm284 · DOI
  9. SA Gayther, 2007, Tagging single nucleotide polymorphisms in cell cycle control genes and susceptibility to invasive epithelial ovarian cancer., Cancer Research, 67, 3027, 10.1158/0008-5472.CAN-06-3261 · DOI
  10. J Chen, 2007, Aurora-A and p16 Polymorphisms Contribute to an Earlier Age at Diagnosis of Pancreatic Cancer in Caucasians., Clin Cancer Res, 13, 3100, 10.1158/1078-0432.CCR-06-2319 · DOI
  11. R Kumar, 2001, A single nucleotide polymorphism in the 3′untranslated region of the CDNK2A gene is common in sporadic primary melanomas but mutations in the CDKN2B, CDKN2C, CDK4 and P53 genes are rare., International Journal of Cancer, 95, 388, 10.1002/1097-0215(20011120)95:6<388::AID-IJC1069>3.0.CO;2-6 · DOI
  12. J Healy, 2007, Promoter SNPs in G1/S checkpoint regulators and their impact on the susceptibility to childhood leukemia., Blood, 109, 683, 10.1182/blood-2006-02-003236 · DOI
  13. S Griffiths-Jones, 2008, miRBase: tools for microRNA genomics., Nucl Acids Res, 36, D154, 10.1093/nar/gkm952 · DOI · Paper page
  14. B Rhead, The UCSC Genome Browser database: update 2010., Nucl Acids Res, 38, D613, 10.1093/nar/gkp939 · DOI
  15. CJ Hussussian, 1994, Germline p16 mutations in familial melanoma., Nat Genet, 8, 15, 10.1038/ng0994-15 · DOI · Paper page
  16. E Hara, 1996, Regulation of p16CDKN2 expression and its implications for cell immortalization and senescence., Molecular and Cellular Biology, 16, 859, 10.1128/MCB.16.3.859 · DOI · Paper page
  17. X Wang, 2007, The proximal GC-rich region of p16INK4a gene promoter plays a role in its transcriptional regulation., Molecular and Cellular Biochemistry, 301, 259, 10.1007/s11010-007-9427-4 · DOI
  18. W Wang, 2001, Characterization of Regulatory Elements on the Promoter Region of p16INK4a That Contribute to Overexpression of p16 in Senescent Fibroblasts., J Biol Chem, 276, 48655, 10.1074/jbc.M108278200 · DOI · Paper page
  19. S Gonzalez, 2006, Oncogenic activity of Cdc6 through repression of the INK4/ARF locus., Nature, 440, 702, 10.1038/nature04585 · DOI
  20. EE Schadt, 2003, Genetics of gene expression surveyed in maize, mouse and man., Nature, 422, 297, 10.1038/nature01434 · DOI · Paper page
  21. T Pastinen, 2004, Cis-acting regulatory variation in the human genome., Science, 306, 647, 10.1126/science.1101659 · DOI
  22. HM Broadbent, 2008, Susceptibility to coronary artery disease and diabetes is encoded by distinct, tightly linked SNPs in the ANRIL locus on chromosome 9p., Hum Mol Genet, 17, 806, 10.1093/hmg/ddm352 · DOI · Paper page
  23. O Jarinova, 2009, Functional Analysis of the Chromosome 9p21.3 Coronary Artery Disease Risk Locus., Arterioscler Thromb Vasc Biol, 29, 1671, 10.1161/ATVBAHA.109.189522 · DOI · Paper page
  24. L Folkersen, 2009, Relationship between CAD Risk Genotype in the Chromosome 9p21 Locus and Gene Expression. Identification of Eight New ANRIL Splice Variants., PLoS ONE, 4, e7677, 10.1371/journal.pone.0007677 · DOI
  25. MC Campbell, 2008, African Genetic Diversity: Implications for Human Demographic History, Modern Human Origins, and Complex Disease Mapping., Annual Review of Genomics and Human Genetics, 9, 403, 10.1146/annurev.genom.9.081307.164258 · DOI
  26. K Silander, 2009, Worldwide patterns of haplotype diversity at 9p21.3, a locus associated with type 2 diabetes and coronary heart disease., Genome Medicine, 1, 51.51, 10.1186/gm51 · DOI
  27. CA McKenzie, 2001, Trans-ethnic fine mapping of a quantitative trait locus for circulating angiotensin I-converting enzyme (ACE)., Hum Mol Genet, 10, 1077, 10.1093/hmg/10.10.1077 · DOI
  28. S Campino, 2008, Validating Discovered Cis-Acting Regulatory Genetic Variants: Application of an Allele Specific Expression Approach to HapMap Populations., PLoS ONE, 3, e4105, 10.1371/journal.pone.0004105 · DOI
  29. J Chen, 2009, Polymorphisms of p16, p27, p73, and MDM2 Modulate Response and Survival of Pancreatic Cancer Patients Treated with Preoperative Chemoradiation., Annals of Surgical Oncology, 16, 431, 10.1245/s10434-008-0220-8 · DOI
  30. T Dębniak, 2007, CDKN2A-positive breast cancers in young women from Poland., Breast Cancer Research and Treatment, 103, 355, 10.1007/s10549-006-9382-x · DOI
  31. L Yan, 2008, p16(CDKN2) gene polymorphism: Association with histologic subtypes of epithelial ovarian cancer in China., International Journal of Gynecological Cancer, 18, 30, 10.1111/j.1525-1438.2007.00953.x · DOI
  32. S Sakano, 2003, Clinical course of bladder neoplasms and single nucleotide polymorphisms in the CDKN2A gene., International Journal of Cancer, 104, 98, 10.1002/ijc.10919 · DOI
  33. T Debniak, 2005, CDKN2A Common Variants and Their Association with Melanoma Risk: A Population-Based Study., Cancer Res, 65, 835, 10.1158/0008-5472.835.65.3 · DOI
  34. O Straume, 2002, Significant Impact of Promoter Hypermethylation and the 540 C>T Polymorphism of CDKN2A in Cutaneous Melanoma of the Vertical Growth Phase., Am J Pathol, 161, 229, 10.1016/S0002-9440(10)64174-0 · DOI
  35. E Pasmant, 2007, Characterization of a Germ-Line Deletion, Including the Entire INK4/ARF Locus, in a Melanoma-Neural System Tumor Family: Identification of ANRIL, an Antisense Noncoding RNA Whose Expression Coclusters with ARF., Cancer Res, 67, 3963, 10.1158/0008-5472.CAN-06-2004 · DOI · Paper page
  36. W Yu, 2008, Epigenetic silencing of tumour suppressor gene p15 by its antisense RNA., Nature, 451, 202, 10.1038/nature06468 · DOI · Paper page
  37. MQ Yang, 2007, Comprehensive Annotation of Bidirectional Promoters Identifies Co-Regulation among Breast and Ovarian Cancer Genes., PLoS Comput Biol, 3, e72, 10.1371/journal.pcbi.0030072 · DOI
  38. MD Teare, 2006, An Expectation-Maximization Algorithm for the Analysis of Allelic Expression Imbalance., Am J Hum Genet, 79, 539, 10.1086/506968 · DOI
  39. Y Liu, 2009, Expression of p16INK4a in peripheral blood T-cells is a biomarker of human aging., Aging Cell, 8, 439, 10.1111/j.1474-9726.2009.00489.x · DOI · Paper page
  40. BE Stranger, 2007, Population genomics of human gene expression., Nat Genet, 39, 1217, 10.1038/ng2142 · DOI · Paper page
  41. AL Dixon, 2007, A genome-wide association study of global gene expression., Nat Genet, 39, 1202, 10.1038/ng2109 · DOI · Paper page
  42. V Plagnol, 2008, Extreme Clonality in Lymphoblastoid Cell Lines with Implications for Allele Specific Expression Analyses., PLoS ONE, 3, e2966, 10.1371/journal.pone.0002966 · DOI
  43. T Pastinen, 2004, A survey of genetic and epigenetic variation affecting human gene expression., Physiological Genomics, 16, 184, 10.1152/physiolgenomics.00163.2003 · DOI · Paper page
  44. ET Cirulli, 2007, In vitro assays fail to predict in vivo effects of regulatory polymorphisms., Hum Mol Genet, 16, 1931, 10.1093/hmg/ddm140 · DOI
  45. K Zhang, 2009, Digital RNA allelotyping reveals tissue-specific and allele-specific gene expression in human., Nature Methods, 6, 613, 10.1038/nmeth.1357 · DOI
  46. M Berwick, 2006, The Prevalence of CDKN2A Germ-Line Mutations and Relative Risk for Cutaneous Malignant Melanoma: An International Population-Based Study., Cancer Epidemiology Biomarkers & Prevention, 15, 1520, 10.1158/1055-9965.EPI-06-0270 · DOI
  47. AM Goldstein, 2007, Features associated with germline CDKN2A mutations: A GenoMEL study of melanoma-prone families from three continents., Journal of Medical Genetics, 44, 99, 10.1136/jmg.2006.043802 · DOI
  48. M Andreassi, 2008, DNA damage, vascular senescence and atherosclerosis., Journal of Molecular Medicine, 86, 1033, 10.1007/s00109-008-0358-7 · DOI
  49. E Zeggini, 2008, Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes., Nat Genet, 40, 638, 10.1038/ng.120 · DOI · Paper page
  50. K Duesing, 2008, Strong association of common variants in the CDKN2A/CDKN2B region with type 2 diabetes in French Europids., Diabetologia, 51, 821, 10.1007/s00125-008-0973-4 · DOI
  51. MY Kang, 2008, Association of interindividual differences in p14ARF promoter methylation with single nucleotide polymorphism in primary colorectal cancer., Cancer, 112, 1699, 10.1002/cncr.23335 · DOI
  52. S Züchner, 2008, Linkage and Association Study of Late-Onset Alzheimer Disease Families Linked to 9p21.3., Annals of Human Genetics, 72, 725, 10.1111/j.1469-1809.2008.00474.x · DOI
  53. J-M Li, 1995, Transforming Growth Factor beta Activates the Promoter of Cyclin-dependent Kinase Inhibitor p15 (INK4B) through an Sp1 Consensus Site., J Biol Chem, 270, 26750, 10.1074/jbc.270.45.26750 · DOI
  54. X Messeguer, 2002, PROMO: detection of known transcription regulatory elements using species-tailored searches., Bioinformatics, 18, 333, 10.1093/bioinformatics/18.2.333 · DOI · Paper page
  55. D Farre, 2003, Identification of patterns in biological sequences at the ALGGEN server: PROMO and MALGEN., Nucl Acids Res, 31, 3651, 10.1093/nar/gkg605 · DOI · Paper page
  56. J Vandesompele, 2002, Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes., Genome Biology, 3, research0034.0031, 10.1186/gb-2002-3-7-research0034 · DOI · Paper page
  57. X Zhang, 2005, Selection of reference genes for gene expression studies in human neutrophils by real-time PCR., BMC Molecular Biology, 6, 10.1186/1471-2199-6-4 · DOI

Cited by

See all 379

Metadata

Authors
Cunnington, M. S., Santibanez Koref, M., Mayosi, B. M., Burn, J., & Keavney, B.
Venue
PLoS Genetics
Published
2010-04-08
Volume
6
Issue
4
Pages
e1000899
ISSN
  • 1553-7390 (ISSN-L)
  • 1553-7404
OpenAlex
W2020860086
Cited by
379
References
20
FWCI
17.44
Type
journal article
Language
en
Open access
gold

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: Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression. https://app.cochat.ai/papers/10.1371/journal.pgen.1000899
The paper
Cunnington, M. S., Santibanez Koref, M., Mayosi, B. M., Burn, J., & Keavney, B. (2010). Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1000899

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.