The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Genome-wide association studies in cancer
Abstract
Genome-wide association studies (GWAS) provide a powerful approach to identify common, low-penetrance disease loci without prior knowledge of location or function. GWAS have been conducted in five of the commonest cancer types: breast, prostate, colorectal and lung, and melanoma, and have identified more than 20 novel disease loci, confirming that susceptibility to these diseases is polygenic. Many of these loci were detected at low power, indicating that many further loci will probably be detected with larger studies. For the most part, the loci were not previously suspected to be related to carcinogenesis, and point to new disease mechanisms. The risks conferred by the susceptibility alleles are low, generally 1.3-fold or less. The combined effects may, however, be sufficiently large to be useful for risk prediction, and targeted screening and prevention, particularly as more loci are identified.
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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
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Genome-wide association study identifies novel breast cancer susceptibility loci
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Self-citationA variant associated with nicotine dependence, lung cancer and peripheral arterial disease
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Cited by
Magnetic resonance imaging of the breast: Recommendations from the EUSOMA working group
Sardanelli, F., Boetes, C., Borisch, B., Decker, T., Federico, M., Gilbert, F. J., Helbich, T., Heywang-Köbrunner, S. H., Kaiser, W. A., Kerin, M. J., et al. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.02.015 · Cited by 992
Progress and promise of genome-wide association studies for human complex trait genetics
Stranger, B. E., Stahl, E. A., & Raj, T. (2011) · Genetics · doi:10.1534/genetics.110.120907 · Cited by 567
Genome-wide association studies: potential next steps on a genetic journey
McCarthy, M. I., & Hirschhorn, J. N. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn289 · Cited by 359
Association screening of common and rare genetic variants by penalized regression
Zhou, H., Sehl, M. E., Sinsheimer, J. S., & Lange, K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq448 · Cited by 137
Ojha, J., Codd, V., Nelson, C. P., Samani, N. J., Smirnov, I. V., Madsen, N. R., Hansen, H. M., de Smith, A. J., Bracci, P. M., Wiencke, J. K., et al. (2016) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-15-1329 · Cited by 71
Metadata
- Authors
- Easton, D. F., & Eeles, R. A.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-10-15
- Volume
- 17
- Issue
- R2
- Pages
- R109-R115
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- OpenAlex
- W2097247977
- Cited by
- 243
- References
- 15
- FWCI
- 20.57
- Type
- journal article
- Language
- en
- Open access
- closed
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