The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The role of the fat mass and obesity associated gene (FTO) in breast cancer risk
Open accessAbstract
BACKGROUND: Obesity has been shown to increase breast cancer risk. FTO is a novel gene which has been identified through genome wide association studies (GWAS) to be related to obesity. Our objective was to evaluate tissue expression of FTO in breast and the role of FTO SNPs in predicting breast cancer risk. METHODS: We performed a case-control study of 354 breast cancer cases and 364 controls. This study was conducted at Northwestern University. We examined the role of single nucleotide polymorphisms (SNPs) of intron 1 of FTO in breast cancer risk. We genotyped cases and controls for four SNPs: rs7206790, rs8047395, rs9939609 and rs1477196. We also evaluated tissue expression of FTO in normal and malignant breast tissue. RESULTS: We found that all SNPs were significantly associated with breast cancer risk with rs1477196 showing the strongest association. We showed that FTO is expressed both in normal and malignant breast tissue. We found that FTO genotypes provided powerful classifiers to predict breast cancer risk and a model with epistatic interactions further improved the prediction accuracy with a receiver operating characteristic (ROC) curves of 0.68. CONCLUSION: In conclusion we have shown a significant expression of FTO in malignant and normal breast tissue and that FTO SNPs in intron 1 are significantly associated with breast cancer risk. Furthermore, these FTO SNPs are powerful classifiers in predicting breast cancer risk.
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A prospective study of obesity and cancer risk (Sweden)
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Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies
Hoggart, C. J., Whittaker, J. C., De Iorio, M., & Balding, D. J. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000130 · Cited by 321 · cited 1×
“Multiple-SNP analyses can accommodate LD among the SNPs and have the advantages of providing potentially increased power and reduced false positives to detect causal variants, of better separating highly correlated predictors, and of more efficiently detecting epistatic interactions [16-19].”
BackgroundCho, Y. M., Kim, T. H., Lim, S., Choi, S. H., Shin, H. D., Lee, H. K., Park, K. S., & Jang, H. C. (2009) · Diabetologia · doi:10.1007/s00125-008-1196-4 · Cited by 243
Accommodating Linkage Disequilibrium in Genetic-Association Analyses via Ridge Regression
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m6A RNA Methylation Regulates the Self-Renewal and Tumorigenesis of Glioblastoma Stem Cells
Cui, Q., Shi, H., Ye, P., Li, L., Qu, Q., Sun, G., Sun, G., Lu, Z., Huang, Y., Yang, C.-G., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.02.059 · Cited by 1,252
Multiple functions of m6A RNA methylation in cancer
Pan, Y., Ma, P., Liu, Y., Li, W., & Shu, Y. (2018) · Journal of Hematology & Oncology · doi:10.1186/s13045-018-0590-8 · Cited by 312
Abnormality of m6A mRNA methylation is involved in Alzheimer’s disease
Han, M., Liu, Z., Xu, Y., Liu, X., Wang, D., Li, F., Wang, Y., & Bi, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00098 · Cited by 286
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Metadata
- Authors
- Kaklamani, V., Yi, N., Sadim, M., Siziopikou, K., Zhang, K., Xu, Y., Tofilon, S., Agarwal, S., Pasche, B., & Mantzoros, C.
- Venue
- BMC Medical Genetics
- Published
- 2011-04-13
- Volume
- 12
- Issue
- 1
- Pages
- 52-52
- ISSN
- 1471-2350 (ISSN-L)
- OpenAlex
- W2022129953
- Cited by
- 168
- References
- 6
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- gold
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